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Curriculum Vitae

Personal Information

Name: Inés Samengo Address: Centro Atómico Bariloche, (8400),

Nationality: Argentine San Carlos de Bariloche,

Birth date: 14th July, 1970 Río Negro, Argentina

Birth place: Buenos Aires, Argentina Tel.: ++ 54 294 4445100 int 5391

Family: Married, with children Fax: ++ 54 294 4445299

E-mail: [email protected] Web: http://fisica.cab.cnea.gov.ar/estadistica/ines/

Present position

- Adjunct Professor, Instituto Balseiro, Universidad Nacional de Cuyo, Argentina.

- Independent Researcher, Consejo Nacional de Investigaciones Científicas y Técnicas,

Argentina.

University degrees

- Ms S in physics (1993), Instituto Balseiro, Universidad Nacional de Cuyo, Argentina. Marks:

8.82/10.00

- Ph D in physics (1998), Instituto Balseiro, Universidad Nacional de Cuyo, Argentina. Marks:

10.0/10.0

Professional affiliation

- Member of the Society for Neuroscience

- Member of the Sociedad Argentina de Investigación en Neurociencia.

- Member of the American Physiological Society.

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Previous research and teaching positions

In Argentina

1. April 1990 - July 1990: Teaching Assistant in physics, C.R.U.B., Universidad Nacional del

Comahue, Argentina.

2. August 1990 - March 1994: Scholarship fellow of Comisión Nacional de Energía Atómica,

Instituto Balseiro, Argentina.

3. February 1993 - July 1998: Teaching assistant, Instituto Balseiro, Bariloche, Argentina.

4. April 1994 - March 1996: Scholarship fellow of Consejo Nacional de Investigaciones

Científicas y Técnicas, Beca de Iniciación, Argentina.


Científicas y Técnicas, Beca de Perfeccionamiento, Argentina.


Científicas y Técnicas, Prórroga excepcional de la beca de Perfeccionamiento, Argentina.

7. April 1999 - August 1999: Postdoctoral Fellow of Consejo Nacional de Investigaciones

Científicas y Técnicas, Beca Postdoctoral, Argentina.

8. September 1998 – July 2012: Chief Teaching Assistant, Instituto Balseiro, Universidad

Nacional de Cuyo, Bariloche, Argentina.

9. January - December 2001: Postdoctoral fellow, F.O.M.E.C. and Instituto Balseiro,

Universidad Nacional de Cuyo, Bariloche, Argentina.

Abroad

10. September 1999 - August 2000: Postdoctoral Fellow of the S.I.S.S.A., hired by Alessandro

Treves, within the Human Frontier Science Program, Trieste, Italy.

11. July 2002 - September 2002.Visiting scientist at the S.I.S.S.A., Research Fellowship, Trieste,

Italy.

12. May 2003 - December 2003. Postdoctoral Fellow of the Alexander Von Humboldt

Foundation in the Institute for Theoretical Biology, Berlin, Germany.

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Teaching experience

1. 1990: Teaching assistant in Physics I, Engineering, C.R.U.B., Universidad Nacional del

Comahue, Argentina, 1 semester.

2. 1993: Teaching assistant, Quantum Mechanics II, Physics, Instituto Balseiro, Bariloche,

Argentina, 128 hours.

3. 1994: Teaching assistant, Quantum Mechanics II, Physics, Instituto Balseiro, Bariloche,


4. 1994: Teaching assistant, Quantum Mechanics I, Physics, Instituto Balseiro, Bariloche,








8. 1998: Chief teaching assistant, Mathematics 1, Physics, Instituto Balseiro, Bariloche,


9. 1999: Chief teaching assistant,Mathematics 2, Physics, InstitutoBalseiro, Bariloche,


10. 2000: Chief teaching assistant,Mathematics 1, Physics, InstitutoBalseiro, Bariloche,






13. 2002: Chief teaching assistant, Neural Networks, Physics, Instituto Balseiro, Bariloche,


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15. 2004: Chief teaching assistant, Mathematical modelling of biological systems, Physics,

InstitutoBalseiro, Bariloche, Argentina. In charge of the course, 128 hours.

16. 2005: Chief teaching assistant, Information Theory, Physics, Instituto Balseiro, Bariloche

Argentina. In charge of the course, 128 hours.



18. 2006: Chief teaching assistant, Elements of Information Theory, Physics, Instituto Balseiro,

Bariloche, Argentina. In charge of the course, 64 hours.

19. 2006: Chief teaching assistant, Applications of Information Theory, Physics, Instituto

Balseiro, Bariloche, Argentina. In charge of the course, 64 hours.



21. 2008: Chief teaching assistant, Group Theory, Phyhsics, Instituto Balseiro, Bariloche,


22. 2008: Chief teaching assistant, Applications of Group Theory, Phyhsics, Instituto Balseiro,

Bariloche, Argentina, 64 hours.

23. 2009: Chief teaching assistant, Group Theory, Phyhsics, Instituto Balseiro, Bariloche,


24. 2009: Chief teaching assistant, Neural Systems, Physics, Instituto Balseiro, Bariloche,




26. 2010: Chief teaching assistant, Application of Information Theory, Physics, Instituto Balseiro,


27. 2011: Chief teaching assistant, Neural Systems, Physics. Instituto Balseiro, Bariloche,


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30. 2012. Chief teaching assistant, Applications of Information Theory, Physics, Instituto

Balseiro, Bariloche, Argentina. In charge of the course, 64 hours.

31. 2012. Chief teaching assistant, Experimental Physics IV, Physics, Instituto Balseiro, Argentina,

128 hours.

32. 2013. Adjunct professor, Experimental Physics IV, Physics, Instituto Balseiro, Argentina, 128

hours.

33. 2013. Adjunct professor, Probability and Random Processes, Engineering in

Telecommunications, Instituto Balseiro, Argentina, 64 hours.

34. 2013. Adjunct professor, Information Theory, Engineering in Telecommunications, Instituto

Balseiro, Argentina, 128 hours.

35. 2014. Adjunct professor, Experimental Physics IV, Physics, Instituto Balseiro, Argentina, 128

hours.

36. 2014. Adjunct professor, Probability and Random Processes, Engineering in


37. 2014. Adjunct professor, Information Theory, Engineering in Telecommunications, Instituto

Balseiro, Argentina, 128 hours.

38. 2015. Adjunct professor, Probability and Random Processes, Physics and Engineering in


39. 2015. Adjunct professor, Information Theory, Physics and Engineering in


40. 2016. Adjunct professor, Probability and Random Processes, Physics and Engineering in


41. 2016. Adjunct professor, Information Theory, Physics and Engineering in


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Thesis Supervision

1. Supervisor of Hugo Gabriel Eyherabide’s MsS Thesis, Physics, Complex Systems. Title: Analysis

of the variability in the activity of auditory neurons. Defended in December 2005.

2. Supervisor of José Luis Favant’s MsS Thesis, Medical Physics, Inst. Balseiro. Title: Extracellular

electrophysiological recordings of neuronal activity. Defended in December 2005.

3. Co-supervisor of Román Rossi Pool, MsS Thesis, Physics, Instituto Balseiro. Modelos de

Aprendizaje en Percepción Visual. Defended in December 2006.

4. Supervisor of Hugo Gabriel Eyherabide’s PhD Thesis in Physics in Instituto Balseiro, and co-

supervisor, of his fellowship in CONICET. Defended in February 2011.

5. Supervisor of Aner Lucero’s MsS Thesis, Physics, Inst. Balseiro. Title: Caracterización del

mapeo entrada salida en neuronas individuales. Defended in December 2007.

6. Supervisor of Eugenio Urdapilleta’s PhD Thesis in Physics in Instituto Balseiro, and supervisor

of his fellowship in CONICET. Defended in March 2012.

7. Co-supervisor of Román Rossi Pool’s PhD Thesis in Physics in Instituto Balseiro, and supervisor

of his fellowship in CONICET. Defended in March 2012.

8. Co-supervisor of Pablo Naim’s PhD Thesis in Biology, Universidad Nacional del Comahue,

Bariloche, Argentina, and of his fellowship in CONICET. Discontinued in January 2011.

9. Supervisor of Yudy Carolina Daza Caro’s MsS Thesis in Physics in Insitituto Balseiro.

Codificación neuronal en sistemas sensoriales. Defended in December 2010.

10. Supervisor of Rodrigo Echeveste’s MsS Thesis in Physics in Insituto Balseiro, orientation

Complex Systems. Percepción sensorial en niños autistas. Defended in December 2011.

11. Supervisor of María Da Fonseca’s MsS Thesis in Physics Insituto Balseiro, orientation

Complex Systems. Percepción cromática y categorización sensorial. Defended in December

2012.

12. Since April 2012: Supervisor of Soledad Gonzalo Cogno’s PHD Thesis in Physics, Instituto

Balseiro. Dynamic and computational properties of bursting neurons. In progress.

13. Since April 2013: Supervisor of María da Fonseca’s PHD Thesis in Physics, Instituto Balseiro.

Chromatic categorization in visual perception. In progress.

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14. Since April 2014: Supervisor of Melisa Beatriz Maidana Capitán’s PHD Thesis in Physics, Inst.

Balseiro. Analysis of coherence in hippocampal electrophysiological signals. In progress.

Science communication

1. October 2009, and October 2014: Organizer of the 4-weeks School J. A. Balseiro “Modeling in

Neuroscience”, together with Germán Mato and Marcela Nadal. The school was directed to

24 master or PhD students of neuroscience projects, interested in acquiring modeling

expertise.

2. 2007-2012: In charge of the organisation of 1-week advanced courses directed to high-school

teachers. The courses take place in Instituto Balseiro, and are focused in specific topics, that

change every year. The activities contain a strong emphasis in practical and experimental

techniques. Every year, 25-30 teachers of several disciplines (physics, mathematics,

chemistry and/or biology) are selected.

3. Since 2012: Frequent speaker in high-schools of San Carlos de Bariloche, teaching about the

psychopharmacology and long-term consequences of the consumption of abused

psychoactive substances.

4. Since 2014: Organizer of the Brain Awareness Week in Bariloche, with a series of talks and an

interactive exhibition for the general public, and high-school students. http://www.ib.edu.ar/

index.php/extension/extension-para-todo-publico/533.html

Area of research

I develop theoretical methods in the framework of covariance analysis and information theory to

characterize the neural codes employed by the brain. The aim is to quantify the amount and type of

the information conveyed by spiking neurons, typically (though not exclusively) in sensory areas. I

also study the dynamical properties of single neurons, characterizing how the neural code depends

on intrinsic properties. I model these neurons using tools of dynamical systems and stochastic

processes.

http://www.ib.edu.ar/%20index.php/extension/extension-para-todo-publico



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I have participated in several experimental projects, making data analysis of recordings done by

other people, including the rodent hippocampus, the primate visual system, and the insect auditory

system. I am currently starting a new line studying the computational processes involved in human

vision. To that aim, computer games are designed and developed, to test and analyse the chromatic

discrimination abilities of players, as well as their chromatic memory.

Publications

In refereed international journals

1. Angular normalization of the electron transfer to the continuum peak; R.G. Pregliasco, I.

Samengo and R.O. Barrachina; Nuclear Physics and Methods B 86 390-393 (1994)

2. Rainbow and Glory Scattering in Coulomb Trajectories Starting from One Point in Space; I.

Samengo and R. O. Barrachina; European Journal of Physics 15 300-308 (1994)

3. Rainbow and Glory effects in the autoionization of atoms excited by the impact of heavy ions;

I. Samengo and R. O. Barrachina; Journal of Physics B 29 4179 - 4191 (1996)

4. An alternative classical approach to the quantum-mechanical definition of the scattering

cross section; J. Fiol, R. G. Pregliasco, I. Samengo and R. O. Barrachina; American Journal of

Physics 65 (2) 343 - 347 (1996)

5. Classical momentum distributions of Rydberg states; Inés Samengo, Physical Review A 58 (5)

2767 - 2776 (1998)

6. The semiclassical limit of the scattering Coulomb wave function, Inés Samengo, Physical

Review A 58 (6) 5001 - 5004 (1998)

7. Classical stationary particle distributions in collision processes I. Samengo, R. G. Pregliasco y

R. O. Barrachina. Journal of Physics B 32 1971 - 1986 (1999)

8. Competing Neural Networks: finding a strategy for the game of matching pennies I. Samengo

and D. Zanette, Physical Review E 62 (3) 4049 - 4056 (2000) - http://arXiv.org/abs/cond-

mat/0002335

9. Representational capacity of a set of independent neurons, Inés Samengo and Alessandro

Treves, Physical Review E 63 (1) 11910 (14 pages) (2001) –

http://arxiv.org/abs/cond-mat/0002335


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http://arXiv.org/abs/condmat/0201588

10. Independent neurons representing a finite set of stimuli: dependence of the mutual

information on the number of units sampled, Inés Samengo, Network: Computation in

Neural Systems, 12 (1) 21 - 31 (2001) - http://arXiv.org/abs/cond-mat/0202023

11. Measuring information spatial densities, Michele Bezzi, Inés Samengo, Stefan Leutgeb and

Sheri Mizumori, Neural Computation 14 (2) 405-420 (2002) – http://arXiv.org/abs/condmat

/0111150

12. The information loss in an optimal maximum likelihood decoding, Inés Samengo, Neural

Computation 14 771 - 779 (2002) - http: //arXiv.org/abs/physics/0110074

13. Estimating probabilities from experimental frequencies, Inés Samengo, Physical Review E 65,

046124, 10 pages, (2002) - http://arXiv.org/abs/cond-mat/0201516

14. Standing on the gateway to memory. Shouldn't we step in?, Alessandro Treves and Inés

Samengo,Cognitive Neuropsychology, 19 (6) 557-575 (2002) –

http://fisica.cab.cnea.gov.ar/estadistica/ines/pub.html

15. Macaque area V4 neurons translate the attended features of a visual stimulus into

behaviorally relevant categories.G Mirabella, I Samengo, G Bertini, BE Kilavik, D Frilli, A

Fanini, L Chelazzi L. Journal of Vision 3 (9) 38 (2003).

16. A Subjective Distance Between Stimuli: Quantifying the Metric Structure of Representations.

DamiánOliva, Inés Samengo, Stefan Leutgeb and Sheri J. Mizumori. Neural Computation, vol:

17: 969 – 990 (2005) - http://arxiv.org/abs/q-bio.NC/0408008

17. Dynamics of learning in coupled oscillators tutored with delayed reinforcements, M.

Trevisan, S. Bouzat, I. Samengo and G. Mindlin, Physical Review E 72, 011907, 1-7, (2005) -

http://arxiv.org/abs/q-bio.NC/0505012. This article was selected by the Virtual Journal of

Biological Physics Research, appearing on 15thJuly, 2005, Volume 10, Issue 2.

18. The Effect of Stimulus Statistics on the Information Transmission of Acoustic Signals in Insect

Auditory Receptor Neurons, Ariel Rokem, Sebastian Watzl, Tim Gollisch, Martin Stemmler,

Andreas V. M. Herz and Inés Samengo. Journal of Neurophysiology, 95 (4) 2541-2552 (2006)

http://fisica.cab.cnea.gov.ar/estadistica/ines/grasshoppers/full.pdf

http://arxiv.org/abs/condmat/0201588


http://arxiv.org/abs/condmat%20/0111150




http://fisica.cab.cnea.gov.ar/estadistica/ines/pub.html

http://arxiv.org/abs/q-bio.NC/0408008

http://arxiv.org/abs/q-bio.NC/0505012

http://fisica.cab.cnea.gov.ar/estadistica/ines/grasshoppers/full.pdf

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19. Neurons in area V4 of the macaque translate attended visual features into behaviorally

relevant categories, Giovanni Mirabella, Inés Samengo, Giuseppe Bertini, Bjorg Kilavik,

Deborah Frilli, Alessandra Fanini, and Leonardo Chelazzi. Neuron54 (2) 303-318 (2007)

http://fisica.cab.cnea.gov.ar/estadistica/ines/neuron2007.pdf. This article was accompanied

by a featured commentary in the same issue: Representation of Response Categories in

Visual Cortex, by RufinVogels, 54 (2): 181-183 (2007)

20. Burst firing is a neural code in an insect auditory system. Hugo G. Eyherabide, Ariel Rokem,

Andreas VM Herz and Inés Samengo. Frontiers in Computational Neuroscience, 2:3.

doi:10.3389/neuro.10.003.2008 (2008)

http://www.frontiersin.org/computationalneuroscience/paper/10.3389/neuro.10/003.2008/

21. Type I and type II neuron models are selectively driven by differential stimulus features.

Germán Mato and Inés Samengo. Neural Computation 20: 2418-2440 (2008). http://arxiv.

org/abs/0801.3963

22. Two distinct mechanisms shape the reliability of neural responses. Susanne Schreiber, Inés

Samengo and Andreas V. M. Herz. Journal of Neurophysiology 101: 2239-2251, (2009).

http://fisica.cab.cnea.gov.ar/estadistica/ines/schreiber_samengo_herz_JNeurophysiol_2009.

pdf

23. Bursts generate a non-reducible spike-pattern code. Hugo G. Eyherabide, Ariel Rokem,

Andreas V. M. Herz and Inés Samengo. Frontiers in Neuroscience, 3 (1): 8-14 (2009). doi:

10.3389/neuro.01.002.2009 - http://www.frontiersin.org/neuroscience/paper/10.3389/

neuro.01/ 002.2009/pdf/

24. Quasistatic approximation of the interspike interval distribution of neurons driven by time-

dependent input. Eugenio Urdapilleta and Inés Samengo. Physical Review E 80, 011915

(2009). This article was selected by the Virtual Journal of Biological Physics Research,

appearing on 1st August 2009. http://arxiv.org/abs/0906.2171

25. The firing statistics of Poisson neuron models driven by slow stimuli. Eugenio Urdapilleta and

Inés Samengo. Biological Cybernetics 101 (4): 265-277(2009) - http://arxiv.org/abs/0909.

1563

http://fisica.cab.cnea.gov.ar/estadistica/ines/neuron2007.pdf



http://www.frontiersin.org/computationalneuroscience/paper/10.3389/neuro.10/003.2008/

http://www.frontiersin.org/neuroscience/paper/10.3389/%20neuro.01/%20002.2009/pdf/



http://arxiv.org/abs/0906.2171

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26. The information transmitted by spike patterns in single neurons. Hugo G. Eyherabide and

Inés Samengo. Journal of Physiology (Paris) Journal of Physiology (Paris) 104: 147-155

(2010)doi:10.1016/j.jphysparis.2009.11.018 - http://arxiv.org/abs/0912.2288

27. Conversion of Phase Information into a Spike-Count Code by Bursting Neurons. Inés Samengo

and Marcelo Montemurro. PLoS ONE 5(3): e9669. doi:10.1371/journal.pone.0009669 (2010).

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009669

28. Time and category information in pattern-based codes. Hugo G. Eyherabide and Inés

Samengo. Frontiers in Computational Neuroscience 4:145. doi: 10.3389/fncom.2010.00145

(2010).http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2010.00145

/abstract

29. Spike-triggered covariance: Geometric proof, symmetry properties, and extensionbeyond

Gaussian stimuli. Inés Samengo and Tim Gollisch. Journal of Computational Neuroscience34

(1): 137-161, DOI: 10.1007/s10827-012-0411-y (2013). http://rd.springer.com/content/pdf

/10.1007%2Fs10827-012-0411-y

30. Linking dynamical and functional properties of intrinsically bursting neurons. Inés Samengo,

GermánMato, Daniel Elijah, Susanne Schreiber and Marcelo A. Montemurro. Journal of

Computational Neuroscience 35 (2): 213-230 - DOI: 10.1007/s10827-013-0449-5 (2013).

http://link.springer.com/content/pdf/10.1007%2Fs10827-013-0449-5.pdf

31. When and why noise correlations are important in neural decoding. Hugo Gabriel Eyherabide

and Inés Samengo. Journal of Neuroscience 33 (45): 17921–17936 (2013). http://www.

jneurosci.org/content/33/45/17921.abstract?related-urls=yes&legid=jneuro;33/ 45/17921

32. Dynamics and reliability of bistable neurons driven with time-dependent stimuli. Soledad

Gonzalo Cogno, Susanne Schreiber and Inés Samengo. Neural Computation 26 (12) 2798-

2826(2014).http://fisica.cab.cnea.gov.ar/estadistica/ines/Gonzalo_Schreiber_Samengo.pdf

33. Effects of spike-triggered negative feedback on receptive-field properties. Eugenio

Urdapilleta and Inés Samengo. Journal of Computational Neuroscience 38 (2) pp 405 - 425

(2014) http://link.springer.com/article/10.1007%2Fs10827-014-0546-0

34. Information-theoretical analysis of the statistical dependencies between three variables:

Applications to written language. Damián G. Hernández, Damián H. Zanette and Inés

http://arxiv.org/abs/0912.2288

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009669

http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2010.00145/abstract



http://rd.springer.com/content/pdf%20/10.1007%2Fs10827-012-0411-



http://link.springer.com/content/pdf/10.1007%2Fs10827-013-0449-5.pdf

http://fisica.cab.cnea.gov.ar/estadistica/ines/Gonzalo_Schreiber_Samengo.pdf

http://link.springer.com/article/10.1007%2Fs10827-014-0546-0

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Samengo. Physical Review E 92 (2) pp 022813 (2015). http://fisica.cab.cnea.gov.ar

/estadistica/ines/Hernandez_Zanette_Samengo_PRE_2015.pdf

35. Thalamic neurons encode stimulus information by burst-size modulation. Daniel Elijah, Inés

Samengo and Marcelo Montemurro. Frontiers in Computational Neuroscience 9 pp 113

DOI:10.3389/fncom.2015.00113 (2015). http://journal.frontiersin.org/article/10.3389/

fncom.2015.00113/ abstract

36. Derivation of Human Chromatic Discrimination Ability from an Information-Theoretical

Notion of Distance in Color Space. María da Fonseca and Inés Samengo. Neural Computation

doi:10.1162/NECO_a_00903, pp 1-18 (2016). http://fisica.cab.cnea.gov.ar/estadistica/ines/

daFonseca_samengo_2016.pdf

37. Bursting neurons in the hippocampal formation encode features of LFP rhythms. Maria

Constantinou, Soledad Gonzalo Cogno, Daniel H. Elijah, Emilio Kropff, John Gigg, Inés

Samengo, Marcelo A. Montemurro. Frontiers in Computational Neuroscience DOI:

10.3389/fncom.2016.00133, pp 1-40 (2016). http://journal.frontiersin.org/article/10.3389/

fncom.2016.00133/abstract

In conference proceedings published as full papers

38. Comparación entre descripciones clásica, semiclásica y cuántica de un proceso de ionización

inducido por colisión, Inés Samengo and R. O. Barrachina, 78 A.F.A., Buenos Aires, Argentina,

1993.

39. Estados coulombianos del continuo, Inés Samengo and R. O. Barrachina, 80 A.F.A, 1995.

40. Nearside-Farside Interference in Autoionization Processes, I. Samengo y R. O. Barrachina,

Proc. International Course on Advances and Methods in the Study of Atomic Doubly Excited

States, 1995.

41. Neural dynamics in the presence of noisy inputs. Soledad Gonzalo Cogno and Inés Samengo.

Actas del III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), 29-31,

2011.

42. Dynamical and Coding properties of Single Neurons. Carolina Daza and Inés Samengo. Actas

del III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), 25-27, 2011.

http://fisica.cab.cnea.gov.ar/

http://journal.frontiersin.org/article/10.3389/

http://fisica.cab.cnea.gov.ar/estadistica/ines/

http://journal.frontiersin.org/article/10.3389/

13

In book chapters

43. Statistical description of associative memory, Inés Samengo, in Modern Challenges in

Statistical Mechanics, edited by V.M. Kenkre and Katja Lindenberg, Melville, New York, 2003.

44. Spike-train Analysis, Inés Samengo, Daniel Elijah, Marcelo Montemurro, in Principles of

Neural coding, edited by Stefano Panzeri and Rodrigo Quian Quiroga, CRC Press, 2013, pp.

75-96.

45. Effect of input noise on neuronal firing rate. Soledad Gonzalo Cogno and Inés Samengo. In

Physics, Computation and the mind: Advances and challenges at interfaces. AIP Conference

Proceedings 1510, edited by Garrido, P. L.; Marro, J.; Torres, J. J.; Cortés, J. M., pp. 247-250,

2013.

Teaching Notes at Instituto Balseiro

46. “Quantum Gym: Problemas en Mecánica Cuántica II”, R. G. Pregliasco, I. Samengo, C. Denton,

J. Gervasoni, R. O. Barrachina, 60 pages.

Presentations to conferences, published as an abstract

1. 77a Reunión de la Asociación Física Argentina, “Efectos Postcolisionales de Gloria y Arco Iris en

procesos de autoionización inducidos por colisión”, Inés Samengo and R. O. Barrachina, Buenos

Aires, Argentina, 1992.

2. 18a International Conference on the Physics of Electronic and Atomic Collisions, “Rainbow and

Glory Effects in Autoionization Processes in ion-atom collisions”, Inés Samengo and R. O.

Barrachina, Aahrus, Denmark, 1993.

3. 78a Reunión de la Asociación Física Argentina, “Comparación entre descripciones clásica,

semiclásica y cuántica de un proceso de autoionización inducido por colisión”, Inés Samengo

and R. O. Barrachina, Rosario, Argentina, 1993.

4. Reunión para la enseñanza de las Ciencias y la Tecnología, “El Arco Iris”, Inés Samengo and R. O.

Barrachina, Buenos Aires, Argentina, 1994.

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5. 79a Reunión de la Asociación Física Argentina, “Separación en contribuciones cercana y lejana

de la amplitud de dispersión elástica”, Inés Samengo and R. O. Barrachina, Córdoba, Argentina,

1994.

6. International Course on Advances and Methods in the Study of Atomic Doubly Excited States,

“Nearside-Farside Interference in Autoionization Processes”, Inés Samengo and R. O.

Barrachina, Medellín, Colombia, 1995.

7. Reunión nacional sobre estructura electrónica y teoría de colisiones, “Mecanismos de

interferencia en procesos de autoionización inducidos por colisión”, Inés Samengo and R. O.

Barrachina, IAFE, Buenos Aires, Argentina, 1995.

8. 80 Reunión de la Asociación Física Argentina, “Estados coulombianos del continuo”, Inés

Samengo and R. O. Barrachina, Bariloche, Argentina, 1995.

9. 81 Reunión de la Asociación Física Argentina, “Alternativa clásica a la definición de la sección

eficaz cuántica”, J. Fiol, R. G. Pregliasco, Inés Samengo and R. O. Barrachina, Tandil, Argentina,

1996.

10. Joint-us Latin American seminar on atomic collisions, “Classical and semi-classical descriptions

of the continuum Coulomb wave function”, Inés Samengo and R. O. Barrachina, Rosario,

Argentina, 1997.

11. 20a International Conference on the Physics of Electronic and Atomic Collisions, “Nearside-

Farside interference in autoionization processes induced by ion-atom collisions”, Inés Samengo

and R. O. Barrachina,1997.

12. 20a International Conference on the Physics of Electronic and Atomic Collisions, “On the

classical momentum (n, l, m) distributions”, Inés Samengo, 1997.

13. 83 Reunión de la Asociación Física Argentina, “Distribuciones clásicas de los estados de

Rydberg”, La Plata, Argentina 1998.

14. 19th Werner Brandt Workshop, “Classical stationary particle distributions in collision

processes”, Inés Samengo, R. O. Barrachina and R. G. Pregliasco, S. C. de Bariloche, Argentina,

1999.

15. 19th Werner Brandt Workshop, “Classical Rydberg momentum distributions”, Inés Samengo, S.

C. de Bariloche, Argentina, 1999.

15

16. TheNature of Hippocampal-Cortical Interaction: Theoretical and Experimental Perspectives,

“Quantifying the information content of different representation schemes”, Inés Samengo and

Alessandro Treves, Dublin, Ireland, 2000.

17. Computational Neuroscience 2000, “The representational capacity of N independent neurons”,

Inés Samengo y Alessandro Treves, Brujas, Bélgica, Julio 2000.

18. ESF Summer Symposium On Neural Computation and Neuroinformatics: Principles of

information coding and processing in the brain, “The representational capacitiy of N

independent neurons”, Inés Samengo y Alessandro Treves, Trieste, Italia, Septiembre 2000.

19. Neuroscience Annual Meeting, 2000, “Representational capacity of a set of independent

neurons”, Inés Samengo and Alessandro Treves, New Orleans, USA, November 2000.

20. Neuroscience Annual Meeting, 2001, “Neural information loss in a maximum likelihood

decoding”, Inés Samengo, San Diego, USA, November 2001.

21. 53 CongressodellaSocietaItaliana di Fisiologia, “Computational approaches to the role of

hippocampal subfields: CA3 & DG”, Alessandro Treves and Inés Samengo, Ferrara, Italy,

September, 2002.

22. 53 CongressodellaSocietaItaliana di Fisiologia, “Computational approaches to the role of

hippocampal subfields: CA3 & CA1”, Inés Samengo, Julie Goulet, Kit Longden and Alessandro

Treves, Ferrara, Italy, September, 2002.

23. Neuroscience 2002, “Different strategies for encoding position in hippocampal and lateral

septal cells”, Michele Bezzi, Inés Samengo, Stefan Leutgeb and Sheri Mizumori, Orlando, United

States of America, November 2002.

24. Mirabella G, Samengo I, Bertini G, Kilavik BE, Frilli D, Fanini A, Chelazzi L “Macaque area V4

neurons translate the attended features of a visual stimulus into behaviorally relevant

categories” Journal of Vision 3(9): 38a http://journalofvision.org/3/9/38/ (2003)

25. Sensory Coding and the Natural Environment, “The Effect of Stimulus Statistics on the

Information Transmission of Acoustic Signals in Insect Auditory Receptor Neurons”, Inés

Samengo, Ariel Rokem, Sebastian Watzl, Tim Gollisch, Martin Stemmler and Andreas Herz,

Oxford, United Kingdom, September 2004.

http://journalofvision.org/3/9/38/

16

26. Neuroscience 2004, “Mechanisms for visual selective attention to elemental object features in

primate area V4”, G. Mirabella, I. Samengo, G. Bertini4, B.E. Kilavik1, A. Fanini and L. Chelazzi1,

San Diego, United States of America, November 2004.

27. Neuroscience 2004, “Categorization of attended stimulus features by neurons in early visual

cortical areas of the macaque”, B.E.Kilavik, G.Mirabella, G.Bertini1, I.Samengo, A.E.Ipata and

L.Chelazzi, San Diego, United States of America, November 2004.

28. 6th Meeting of the German Neuroscience Society and 30thGöttingen Neurobiology

Conference,“Frequency dependence of spike timing reliability: lessons from conductance-based

modelling”. Susanne Schreiber, Inés Samengo and Andreas VM Herz, Göttingen, Germany,

February 2005.

29. III Taller regional de física estadística y aplicaciones a la materia condensada, “Estudio de la

variabilidad en la actividad de neuronas auditivas”, Hugo Gabriel Eyherabide and Inés Samengo,

La Plata, Argentina, June 2005.

30. 90º Reunión Nacional de Física, “Estudio de la variabilidad en la actividad de neuronas

auditivas” Hugo Gabriel Eyherabide and Inés Samengo, La Plata, Argentina, September 2005.

31. IX Latin American Workshop on Nonlinear Phenomena, “Analysis of the variability of the

response of auditory neurons”. Hugo Gabriel Eyherabide and Inés Samengo, San Carlos de

Bariloche, Argentina, October 2005.

32. Jornadas de física Bariloche 2005, “Símbolos en el código neuronal y su influencia en la tasa de

información mutua”, Hugo Gabriel Eyherabide and Inés Samengo, San Carlos de Bariloche,

Argentina, December 2005.

33. Taller de Neurociencias, “Utilización de Arreglos de Microelectrodos para la excitación y

medición de actividad eléctrica en neuronas cultivadas in vitro”. Román Rossi Pool, Eugenio

Urdapilleta, Mariela Bellotti, Fabián Bonetto and Inés Samengo, Huerta Grande, Córdoba,

Argentina, April 2006.

34. Taller de Neurociencias, “Variabilidad en la respuesta de neuronas sensoriales: ¿de dónde

proviene?” Eugenio Urdapilleta, JanBenda, Inés Samengo. Huerta Grande, Córdoba, Argentina,

April 2006.

17

35. 91º Reunión Nacional de Física, “Modelos de aprendizaje en percepción visual”, Román Rossi

Pool, Inés Samengo and Germán Mato, San Luis, Argentina, September 2006.

36. 91º Reunión Nacional de Física, “Efectos de las propiedades intrínsecas de la dinámica neuronal

sobre los estímulos preferenciales”, Eugenio Urdapilleta, Inés Samengo and Germán Mato, San

Luis, Argentina, September 2006.

37. Bernstein Center for Computational Neuroscience 2006, “Information transmission in Burst

spiking”, Inés Samengo and Hugo Gabriel Eyherabide, Berlin, Germany, October 2006.

38. IX Taller de Neurociencias, “Aproximación cuasi-estática para neuronas estocásticas conducidas

por corrientes variables”, E. Urdapilleta, J. Benda and I Samengo. Huerta Grande, Córdoba,

Argentina, April 2007.

39. Segunda Escuela Argentina de Matemática y Biología, 2007.“Introducción al modelado de la

dinámica neuronal”. Inés Samengo. La Falda, Córdoba, June, 2007.

40. Neural Coding 2007. “Burst firing is a neural code in an insect auditory system”. Inés Samengo

and Hugo G. Eyherabide. Montevideo, Uruguay, November, 2007.

41. Neural Coding 2007. “The effect of stimulus history on firing statistics: Insights from a Quasi-

static Approach”. Eugenio Urdapilleta, Jan Benda and Inés Samengo. Montevideo, Uruguay,

November, 2007.

42. Neural Coding 2007. “Homeostatic Plasticity in Visual Perception Models with Veían Learning”.

Román Rossi Pool, Inés Samengo and GermánMato. Montevideo, Uruguay, November 2007.

43. X Taller de Neurociencias, 2008. “Caracterización de la información transmitida por neuronas

individuales” Inés Samengo. Huerta Grande, Córdoba, Argentina, April 2008.

44. X Taller de Neurociencias, 2008. “Adaptación de la respuesta neuronal en entornos ruidosos”.

Eugenio Urdapilleta, JanBenda e Inés Samengo. Huerta Grande, Córdoba, Argentina, April 2008.

45. 1st Tutzing Meeting on Insect Hearing, “Burst firing is a neural code in grasshopper auditory

receptors”, Hugo Gabriel Eyherabide and Inés Samengo. Tutzing, Germany, September 2008.

46. 1st Tutzing Meeting on Insect Hearing, “Categorical and temporal information transmitted by

spike patterns in single neurons”, Inés Samengo and Hugo Gabriel Eyherabide. Tutzing,

Germany, September 2008.

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47. 1st Tutzing Meeting on Insect Hearing, “Characterizing the noise sources inducing trial-to-trial

variability in grasshopper auditory receptors”, Eugenio Urdapilleta, Jan Benda and Inés

Samengo. Tutzing, Germany, September 2008.

48. XI Taller de Neurociencias, 2009. Current-dependent noise sources in adapting auditory

neurons. Eugenio Urdapilleta, JanBenda, Inés Samengo. Huerta Grande, Córdoba, Argentina.

49. XI Taller de Neurociencias, 2009. Response of Poisson neural models driven by slow stimuli.

Eugenio Urdapilleta, Inés Samengo. Huerta Grande, Córdoba, Argentina.

50. XI Taller de Neurociencias, 2009. The effect of adaptation on the neural code. Eugenio

Urdapilleta, Inés Samengo. Huerta Grande, Córdoba, Argentina.

51. 18th Annual Computational Neuroscience Meeting, July 2009. Bursting neurons encode the

time-dependent phase of the input signals. Marcelo Montemurro, Inés Samengo. Berlin,

Germany.

52. III Encuentro de divulgación científica Hospital Zonal Bariloche, Octubre 2009. “Procesamiento

visual en primates”. Inés Samengo, Bariloche, Argentina.

53. II Reunión Conjunta de Neurociencias, October 2010. “Synergy and redundancy in pattern-

based codes”. Hugo G. Eyherabide and Inés Samengo. Huerta Grande, Argentina.

54. II Reunión Conjunta de Neurociencias, October 2010. “The neural code of sensory neurons in

leech”. Soledad Gonzalo Cogno, Pablo Naim, Inés Samengo, Yimy Amarillo and Marcela Nadal.

Huerta Grande, Argentina.

55. II Reunión Conjunta de Neurociencias, October 2010. “The role of intrinsic conductances in the

neural code”. Yudy Carolina Daza and Inés Samengo. Huerta Grande, Argentina.

56. Taller Regional de Física Estadística y Aplicaciones a la Materia Condensada (TREFEMAC), May

2011. “Modelos neuronales en presencia de ruido: el efecto sobre la frecuencia de disparo”.

Soledad Gonzalo Cogno and Inés Samengo. Villa de Merlo, Argentina.


2011. “Dinámica Neuronal y sus consecuencias computacionales”. Carolina Daza and Inés

Samengo. Villa de Merlo,Argentina.

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58. III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), May 2011. “Neural

dynamics in the presence of noisy inputs”. Soledad Gonzalo Cogno and Inés Samengo. Bahía

Blanca, Argentina.

59. III Congreso de Matemática Aplicada, Computacional e Industrial (MACI), May 2011. “Dynamical

and Coding properties of Single Neurons”. Carolina Daza and Inés Samengo. Bahía Blanca,

Argentina.

60. II Reunión Conjunta SUF-AFA, September 2011. “The role of intrinsic conductances in the neural

code”. Carolina Daza and Inés Samengo. Montevideo, Uruguay.

61. II Reunión Conjunta SUF-AFA, September 2011. “Categorización de estímulos sensoriales en

niños autistas”. Rodrigo Echeveste and Inés Samengo. Montevideo, Uruguay.

62. III Reunión Conjunta de Neurociencias, October 2011. “Neuronal oscillations driven by noisy

input currents”. Carolina Daza and Inés Samengo. Huerta Grande, Córdoba.

63. III Reunión Conjunta de Neurociencias, October 2011. “Estimating the mean firing rate of linear-

nonlinear neuron models”. Soledad Gonzalo Cogno and Inés Samengo. Huerta Grande, Córdoba.

64. III Reunión Conjunta de Neurociencias, October 2011. “Categorization of sensory stimuli in

autistic children”. Rodrigo Echeveste and Inés Samengo. Huerta Grande, Córdoba.

65. Neural Coding 2012, September 2012, “Spike-triggered covariance revisited”, Inés Samengo and

Tim Gollisch, Prague, Czech Republic.

66. 97º Reunión Nacional de la Asociación Física Argentina, September 2012, “Estrategias de

Memoria Visual en Sujetos con Diagnóstico del Espectro Autista”, Melisa Maidana Capitán,

Rodrigo Echeveste, Inés Samengo, Villa Carlos Paz, Argentina.

67. IV Reunión Conjunta de Neurociencias, October 2012, “Percepción cromática y categorización

sensorial”. María da Fonseca and Inés Samengo. Huerta Grande, Córdoba.

68. Neuroscience 2012, October 2012, “Coding properties of intrinsically bursting neurons are

determined by their bifurcation structure”. Germán Mato, Inés Samengo, Daniel Elijah,

SusanneSchreiber, Marcelo Montemurro. New Orleans, USA.


2013. “Frecuencia media de disparo de neuronas activadas por estímulos ruidosos”. Soledad

Gonzalo Cogno and Inés Samengo. La Plata,Argentina.

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2013. “Percepción cromática y categorización sensorial”. María da Fonseca and Inés Samengo.

La Plata, Argentina.


2013. “Estrategias de memoria visual en sujetos con diagnóstico del espectro autista”. Melisa

Maidana Capitán, Rodrigo Echeveste and Inés Samengo. La Plata, Argentina.

72. 98° Reunión Anual de la Asociación Física Argentina, September 2013. “Medición de la métrica

de la percepción cromática utilizando juegos de computadora”. Federico Clavero, María da

Fonseca and Inés Samengo. Bariloche, Argentina.

73. 98° Reunión Anual de la Asociación Física Argentina, September 2013. “Análisis estadístico del

acoplamiento rítmico entre los disparos de las neuronas de las áreas temporales y sus

correspondientes potenciales de campo”. Soledad Gonzalo Cogno, Emilio Kropff and Inés

Samengo. Bariloche, Argentina.

74. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013. “Visual

memory strategies employed by children of the autistic spectrum.”Melisa Maidana Capitán,

Rodrigo Echeveste and Inés Samengo. Huerta Grande, Argentina.

75. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013.

“Photoreceptor absorption curves account for human chromatic discrimination ability”, María

da Fonseca and Inés Samengo. Huerta Grande, Argentina.

76. 28° Congreso de la Sociedad Argentina de Investigación en Neurociencia, October 2013. “Phase-

locking between individual spikes and the local field potential of hippocampal and entorhinal

areas in behaving rats”. Soledad Gonzalo Cogno, Emilio Kropff and Inés Samengo. Huerta

Grande, Argentina.

77. 13° Latin American Workshop of Non-Linear Phenomena, October 2013. “Photoreceptor

absorption curves account for human chromatic discrimination ability”, María da Fonseca and

Inés Samengo. Córdoba, Argentina.

78. OCCAM 2014, May 2014. “Photorreceptor absorption curves account for human chromatic

discrimination ability”. María da Fonseca and Inés Samengo. Osnabrück, Germany.

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79. Winter School in Quantitative Biology Systems, December 2014. “Encoding multiple kinematic

features in the temporal lobe”. Melisa Maidana Capitán, Soledad Gonzalo Cogno, Emilio Kropff,

Marcelo Montemurro, Inés Samengo. Trieste, Italia.

80. 99º Reunión de la Asociación Física Argentina, September 2014. “Transferencia de entropía

entre señales con memoria”. Melisa Maidana Capitán, María da Fonseca, Soledad Gonzalo

Cogno, Marcelo Montemurro, Inés Samengo. Tandil, Argentina.

81. V Congreso Argentino de Bioinformática y Biología Computational, September 2014.

“Photoreceptor Absorption Curves Account for Human Chromatic Discrimination Ability”. María

da Fonseca, Inés Samengo. Bariloche, Argentina.

82. V Congreso Argentino de Bioinformática y Biología Computational, September 2014.“Encoding

the state of motion by the hippocampal region.” Soledad Gonzalo Cogno, Emilio Kropff,

Marcelo Montemurro, Inés Samengo. Bariloche, Argentina.

83. NeuroCog: Primer Encuentro de Neurociencia Cognitiva, May 2015. “Veo, veo, ¿de qué color?”.

María da Fonseca, Inés Samengo. Buenos Aires, Argentina.

84. 1st International Conference in Mathematical Neuroscience, June 2015. “Photoreceptor

absorption properties account for human chromatic discrimination ability”. Inés Samengo,

María da Fonseca. Cannes, France.

85. 100º Reunión de la asociación física argentina, September 2015. “Código neuronal en regiones

del cerebro vinculadas a la navegación espacial.” Melisa Maidana Capitán, Emilio Kropff, Inés

Samengo. Villa de Merlo, San Luis, Argentina.

86. Forum of Neuroscience of the Federation of European Neuroscience Societies (FENS), July 2016.

“State of motion is represented in the local field potentials of the Hippocampus and the

Entorhinal Cortex”. Soledad Gonzalo Cogno, Emilio Kropff, Marcelo Montemurro, Germán

Mato, Inés Samengo. Copenhagen, Dinamarca.


2016. “El estado de movimiento se representa en los potenciales de campo del hipocampo y de

la corteza entorrinal”. Soledad Gonzalo Cogno, Emilio Kropff, Germán Mato, Inés Samengo.

Bariloche, Argentina.

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2016. “Neuronas de la región hipocampal codifican rasgos de los potenciales de campo locales.”

Soledad Gonzalo Cogno, Maria Constantinou, Emilio Kropff, John Gigg, Marcelo Montemurro,

Inés Samengo. Bariloche, Argentina.


2016. “Código neuronal en navegación espacial”. Melisa Maidana Capitán, Emilio Kropff, Inés

Samengo. Bariloche, Argentina.


2016. “Propuesta de un espacio cromático con una métrica perceptualmente uniforme”. María

da Fonseca, Inés Samengo. Bariloche, Argentina.

Invited talks

1. Institut fur Kernphysik der Johann Wolfgang Goethe Universitat, Frankfurt am Main,

Germany,“Classical Rydberg momentum distributions”, June 1996.

2. Mahn-Meitner Institut, Berlin, Germany, “The semiclassical limit of the continuum Coulomb

wavefunction”, June 1996.

3. Institute of Physics and Astronomy, Aarhus, Denmark, “Classical Rydberg Momentum

Distributions”, June 1997.

4. Instituto de Neurología M. M. Ferreyra, Córdoba, Argentina, “Redes Neuronales en el

almacenamiento y evocación de memorias”, July 1999.

5. Simposio del lóbulo occipital, Buenos Aires, Argentina,“Nuevos modelos de redes neuronales y

visopercepción”,12th October, 2000.

6. 53 Congresso della Societa Italiana di Fisiologia, Ferrara, Italy, ”Computational approaches to

the role of hippocampal subfields: CA3 & DG “, 17th September, 2002.

7. 53 CongressodellaSocietaItaliana di Fisiologia, Ferrara, Italy, ”Computational approaches to the

role of hippocampal subfields: CA3 & CA1”,17th September, 2002.

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8. Gatsby Computational Neuroscience Unit, London, United Kingdom, “The information spatial

density found in rodent hippocampal and septal cells.” October 2003.

9. Institute for theoretical Biology, Berlin, Germany, “A subjective distance between stimuli:

quantifying the metric structure of representations”, September 2004.

10. FaMAF, Facultad de Matemática, Astronomía y Física , “Codificación neuronal de la información

sensorial”, Córdoba, Argentina, 18thNovember, 2004.

11. Departamento de Fisiología, UBA, Buenos Aires, Argentina, “Adaptación de la codificación

sensorial al ambiente natural en que vive un animal”, July 2005.

12. Sociedad Argentina de Neurología Infantil, Buenos Aires, Argentina, “Bases neurobiológicas del

procesamiento de información”, August 2005.

13. Institute for theoretical Biology, Berlin, Germany, “Information transmission in burst spiking”,

October 2005.

14. Institute for theoretical Biology, Berlin, Germany, “The role of cortical networks in orientation

selectivity”, October 2006.

15. Escuela BioMat 2007, La Falda, Argentina, “Modelos de dinámica de una única neurona”, Junio

2007.

16. Institute for theoretical Biology, Berlin, Germany, “Type I and Type II neural models are

selective to differential stimulus features”, October 2007.

17. Neural Coding 2007, Montevideo, Uruguay, “Burst firing is a neural code in an insect auditory

system”, November 2007.

18. X Taller de Neurociencias 2008, Huerta Grande, Argentina. “Caracterización de la información

transmitida por neuronas individuales”, April 2008.

19. 1st Tutzing Meeting on Insect Hearing, Tutzing, Germany “Categorical and temporal information

transmitted by spike patterns in single neurons”, September 2008.

20. Department of Biology, University of Manchester, UK, “Conversion of phase information into a

spike-count code by bursting neurons”, May 2009.

21. Institute for theoretical Biology, Berlin, Germany, “Conversion of phase information into a

spike-count code by bursting neurons”, May 2009.

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22. Max Planck Institute of Neurobiology, Munich, Germany, “Time and category information in the

neural code”, May 2010.

23. Institute for theoretical Biology, Berlin, Germany, “Linking dynamic and functional properties of

Bursting Neurons”, July 2011.

24. Institute for theoretical Biology, Berlin, Germany, “When and why noise correlations are

important in neural decoding”, July 2013.

25. Department of Biology, University of Manchester, UK, “Dynamics and reliability of resonator

neurons in their bistable state”, May 2014.

Reviewing activities

I regularly review articles for Physical Review E, Physical Review Letters, Journal of Physics A, Neural

Computation, Journal of Computational Neuroscience, Network: Computation in Neural Systems,

Biological Cybernetics, Journal of Theoretical Biology and Journal of Neurphysiology. I

alsoparticipateinevaluationprocesses of nationalscientific agencies, as CONICET (Consejo Nacional

de Investigaciones Científicas y Técnicas), Universidad de Buenos Aires (UBA) and ANPCyT (Agencia

Nacional de Promoción Científica y Tecnológica).

Funding

1. August 2001. Grant of Fundación Antorchas, Young Scientists: 4900 USD = 4900 ARS (1 year).

Director.

2. November 2002. Renovation grant of Fundación Antorchas: 2500 USD = 9000 ARS (1 year).

Director.

3. August 2004 – December 2005. Initial Grant of Consejo Nacional de Investigaciones

Científicas y Técnicas: 1600 USD = 5000 ARS. Director.

4. November 2004-November 2006. Grant of SeCyT-ECOS. Group project. Director:

GermánMato. 8000 U$S.

5. June 2005-May 2007: Grant of Universidad Nacional de Cuyo. Group project. Director:

German Mato. Co-director: Inés Samengo. 9000 ARS= 3000 U$S.

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6. PIP 2005 – 2006 ,Grant of Consejo Nacional de Investigaciones Científicas y Técnicas nº PIP

5140. Goup project. Director: GermánMato, Co-director: Inés Samengo. 15300 USD = 46000

ARS.

7. June 2006: Grant of the Alexander von Humboldt Foundation, to buy micromanipulators:

5561 Euros. Director.

8. Janurary 2007- December 2008: Grant of the Agencia de Promoción Científica y Tecnológica

PICT 2005 nº 38082, Young Scientists, 25000 ARS= 8000 U$D. Director.

9. June 2008 – June 2011: Grant of the Agencia de Promoción Científica y Tecnológica PICT

2006, 300000 ARS= 100000 U$S. Director.

10. PIP 2010 – 2012, Grant of Consejo Nacional de Investigaciones Científicas y Técnicas nº PIP

112 200901 00738. Goup project. Director: Germán Mato, Co-director: Inés Samengo. 76.300

USD = 300.000 ARS.

11. July 2009-June 2011: Grant of Universidad Nacional de Cuyo. Group project. Director:

German Mato. Co-director: Inés Samengo. 10.000 ARS = 2.500 U$S.

12. November 2011-October 2014: Grant of Agencia de Promoción Científica y Tecnológica PICT

2006, 300000 ARS= 73.000 U$S. Director.

13. January 2014 – December 2015: Grant Raíces Siembra, from Ministerio de Ciencia,

Tecnología e Innovación Productiva. 3 international and 3 domestic journeys per year.

Director.

Organization of academic activities

- 2002: Organizer of the academic plan and staff of the undergraduate courses of Instituto

Balseiro.

- 2005: Organizer of the Latin American Workshop in Nonlinear Physics, Bariloche.

- since 2007: Organizer of yearly training courses for High-School Physics and Mathematics

Teachers in Centro de Formación Continua, Instituto Balseiro, Bariloche.

- 2008: Organizer of TREFEMAC Workshop in Nonlinear Physics, Bariloche.

- 2009 and 2014: Organizer of the José A. Balseiro School “Modeling in Neuroscience”.

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- Since January 2013: Member of the Academic Committee for the Master in Physics,

InstitutoBalseiro.

Awards:

- 2016 Prize to the best Professor in Engineering in Telecomunications. Funded by Fundación

José A. Balseiro, and awarded by the students graduated in 2016.

Languages:

Spanish (mother tongue), English, Italian and German, excellent performance in oral and written

comprehension and production.

Other activities:

President of Fundación Principito, supporting the rehabilitation of neurologically impaired children.

www.fundacionprincipito.org.

Inés Samengo

San Carlos de Bariloche, December 2016

http://www.fundacionprincipito.org/

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