Nicolas Brunel
Professor of Neurobiology
We use theoretical models of brain systems to investigate how they process and learn information from their inputs. Our current work focuses on the mechanisms of learning and memory, from the synapse to the network level, in collaboration with various experimental groups. Using methods from
statistical physics, we have shown recently that the synaptic
connectivity of a network that maximizes storage capacity reproduces
two key experimentally observed features: low connection probability
and strong overrepresentation of bidirectionnally connected pairs of
neurons. We have also inferred `synaptic plasticity rules' (a
mathematical description of how synaptic strength depends on the
activity of pre and postsynaptic neurons) from data, and shown that
networks endowed with a plasticity rule inferred from data have a
storage capacity that is close to the optimal bound.
statistical physics, we have shown recently that the synaptic
connectivity of a network that maximizes storage capacity reproduces
two key experimentally observed features: low connection probability
and strong overrepresentation of bidirectionnally connected pairs of
neurons. We have also inferred `synaptic plasticity rules' (a
mathematical description of how synaptic strength depends on the
activity of pre and postsynaptic neurons) from data, and shown that
networks endowed with a plasticity rule inferred from data have a
storage capacity that is close to the optimal bound.
Current Appointments & Affiliations
 Professor of Neurobiology, Neurobiology, Basic Science Departments 2017
 Professor of Physics, Physics, Trinity College of Arts & Sciences 2017
Contact Information
 311 Research Drive, Durham, NC 27710
 nicolas.brunel@duke.edu (919) 6848684
 Neurobiology page
 Physics page
 Background

Education, Training, & Certifications
 Ph.D., Pierre and Marie Curie University (France) 1993

Academic Positions Outside Duke
 Professor, The University of Chicago. 2012  2017
 Directeur de Recherches, CNRS, Universite Paris Descartes. 2005  2012
 Charge de Recherches, CNRS, Universite Paris Descartes. 2001  2005
 Charge de Recherches, CNRS, Ecole Normale Superieure. 1995  2001
 Recognition

Awards & Honors
 Research

Selected Grants
 An Integrated Nonparametric Bayesian and Deep Neural Network Framework for BiologicallyInspired Lifelong Learning awarded by Defense Advanced Research Projects Agency 2018  2020
 Learning spatiotemporal statistics from the environment in recurrent networks awarded by Office of Naval Research 2017  2019
 Largescale, neuronal ensemble recordings in motor cortex of the behaving marmoset awarded by University of Chicago 2018
 Learning spatiotemporal statistics from the environment in recurrent networks awarded by University of Texas Health Science Center at Houston 2017  2018
 CRCNS: USFrench Research Proposal: Synaptic plasticity rules under physiological conditions for hippocampus and cerebellum awarded by National Science Foundation 2017
 Publications & Artistic Works

Selected Publications

Book Sections
 Brunel, N, and Hakim, V. "Population Density Models." In Encyclopedia of Computational Neuroscience, edited by D Jaeger and R Jung. Springer, 2014.
 Brunel, N, and Hakim, V. "FokkerPlanck Equation." In Encyclopedia of Computational Neuroscience, edited by D Jaeger and R Jung. Springer, 2014.
 Brunel, N, and Hakim, V. "Neuronal Dynamics." In Encyclopedia of Complexity and Systems Science, edited by RA Meyers, 60996116. Springer, 2009.

Conference Papers
 Roxin, A, Brunel, N, and Hansel, D. "Rate Models with Delays and the Dynamics of Large Networks of Spiking Neurons." 2006. Full Text
 FourcaudTrocmé, N, and Brunel, N. "Dynamics of the instantaneous firing rate in response to changes in input statistics." June 2005. Full Text
 Brunel, N. "Dynamics of networks of randomly connected excitatory and inhibitory spiking neurons." September 2000. Full Text
 Brunel, N. "Phase diagrams of sparsely connected networks of excitatory and inhibitory spiking neurons." June 2000. Full Text
 Brunel, N, and Wang, XJ. "Fast network oscillations with intermittent principal cell firing in a model of a recurrent excitatoryinhibitory circuit." 2000. Link to Item
 Brunel, N, and Nadal, JP. "Modeling memory: what do we learn from attractor neural networks?." February 1998. Full Text
 Brunel, N, and Nadal, JP. "Optimal tuning curves for neurons spiking as a Poisson process." DFacto public, 1997.
 Brunel, N. "Crosscorrelations in sparsely connected recurrent networks of spiking neurons." January 1, 1997.
 Ninio, J, and Brunel, N. "Time to detect a single difference between two correlated images." 1996. Link to Item
 Brunel, N, and Amit, DJ. "Learning internal representations in an analog attractor neural network." 1995. Link to Item
 Brunel, N. "Quantitative modeling of local Hebbian reverberations in primate cortex." 1995. Link to Item

Journal Articles
 Tartaglia, EM, and Brunel, N. "Bistability and up/down state alternations in inhibitiondominated randomly connected networks of LIF neurons." Scientific reports 7, no. 1 (September 20, 2017): 11916. Full Text
 Titley, HK, Brunel, N, and Hansel, C. "Toward a Neurocentric View of Learning." Neuron 95, no. 1 (July 2017): 1932. (Review) Full Text
 Zampini, V, Liu, JK, Diana, MA, Maldonado, PP, Brunel, N, and Dieudonné, S. "Mechanisms and functional roles of glutamatergic synapse diversity in a cerebellar circuit." eLife 5 (September 19, 2016). Full Text Open Access Copy
 Brunel, N. "Is cortical connectivity optimized for storing information?." Nature neuroscience 19, no. 5 (May 2016): 749755. Full Text
 De Pittà, M, Brunel, N, and Volterra, A. "Astrocytes: Orchestrating synaptic plasticity?." Neuroscience 323 (May 2016): 4361. (Review) Full Text
 Bouvier, G, Higgins, D, Spolidoro, M, Carrel, D, Mathieu, B, Léna, C, Dieudonné, S, Barbour, B, Brunel, N, and Casado, M. "BurstDependent Bidirectional Plasticity in the Cerebellum Is Driven by Presynaptic NMDA Receptors." Cell reports 15, no. 1 (April 2016): 104116. Full Text
 Dubreuil, AM, and Brunel, N. "Storing structured sparse memories in a multimodular cortical network model." Journal of computational neuroscience 40, no. 2 (April 2016): 157175. Full Text
 De Pittà, M, and Brunel, N. "Modulation of Synaptic Plasticity by Glutamatergic Gliotransmission: A Modeling Study." Neural plasticity 2016 (January 2016): 7607924. Full Text
 Lim, S, McKee, JL, Woloszyn, L, Amit, Y, Freedman, DJ, Sheinberg, DL, and Brunel, N. "Inferring learning rules from distributions of firing rates in cortical neurons." Nature neuroscience 18, no. 12 (December 2015): 18041810. Full Text Open Access Copy
 Alemi, A, Baldassi, C, Brunel, N, and Zecchina, R. "A ThreeThreshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks." PLoS computational biology 11, no. 8 (August 20, 2015): e1004439. Full Text Open Access Copy
 Ostojic, S, Szapiro, G, Schwartz, E, Barbour, B, Brunel, N, and Hakim, V. "Neuronal morphology generates highfrequency firing resonance." The Journal of neuroscience : the official journal of the Society for Neuroscience 35, no. 18 (May 2015): 70567068. Full Text
 Tartaglia, EM, Brunel, N, and Mongillo, G. "Modulation of network excitability by persistent activity: how working memory affects the response to incoming stimuli." PLoS computational biology 11, no. 2 (February 19, 2015): e1004059. Full Text Open Access Copy
 Higgins, D, Graupner, M, and Brunel, N. "Memory maintenance in synapses with calciumbased plasticity in the presence of background activity." PLoS computational biology 10, no. 10 (October 2, 2014): e1003834. Full Text Open Access Copy
 Barbieri, F, Mazzoni, A, Logothetis, NK, Panzeri, S, and Brunel, N. "Stimulus dependence of local field potential spectra: experiment versus theory." The Journal of Neuroscience 34, no. 44 (October 2014): 1458914605. Full Text
 Dubreuil, AM, Amit, Y, and Brunel, N. "Memory capacity of networks with stochastic binary synapses." PLoS computational biology 10, no. 8 (August 7, 2014): e1003727. Full Text Open Access Copy
 Clopath, C, Badura, A, De Zeeuw, CI, and Brunel, N. "A cerebellar learning model of vestibuloocular reflex adaptation in wildtype and mutant mice." The Journal of neuroscience : the official journal of the Society for Neuroscience 34, no. 21 (May 2014): 72037215. Full Text
 Brunel, N, Hakim, V, and Richardson, MJE. "Single neuron dynamics and computation." Current opinion in neurobiology 25 (April 2014): 149155. (Review) Full Text
 Hertäg, L, Durstewitz, D, and Brunel, N. "Analytical approximations of the firing rate of an adaptive exponential integrateandfire neuron in the presence of synaptic noise." Frontiers in computational neuroscience 8 (January 2014): 116. Full Text Open Access Copy
 Tartaglia, EM, Mongillo, G, and Brunel, N. "On the relationship between persistent delay activity, repetition enhancement and priming." Frontiers in psychology 5 (January 2014): 1590. (Review) Full Text Open Access Copy
 Clopath, C, and Brunel, N. "Optimal properties of analog perceptrons with excitatory weights." PLoS computational biology 9, no. 2 (January 2013): e1002919. Full Text Open Access Copy
 Graupner, M, and Brunel, N. "Calciumbased plasticity model explains sensitivity of synaptic changes to spike pattern, rate, and dendritic location." Proceedings of the National Academy of Sciences of the United States of America 109, no. 10 (March 2012): 39913996. Full Text
 Clopath, C, Nadal, JP, and Brunel, N. "Storage of correlated patterns in standard and bistable Purkinje cell models." PLoS computational biology 8, no. 4 (January 2012): e1002448. Full Text Open Access Copy
 Roxin, A, Brunel, N, Hansel, D, Mongillo, G, and van Vreeswijk, C. "On the distribution of firing rates in networks of cortical neurons." The Journal of neuroscience : the official journal of the Society for Neuroscience 31, no. 45 (November 2011): 1621716226. Full Text
 Ostojic, S, and Brunel, N. "From spiking neuron models to linearnonlinear models." PLoS computational biology 7, no. 1 (January 20, 2011): e1001056. Full Text Open Access Copy
 Hamaguchi, K, Riehle, A, and Brunel, N. "Estimating network parameters from combined dynamics of firing rate and irregularity of single neurons." Journal of Neurophysiology 105, no. 1 (January 2011): 487500. Full Text
 Ledoux, E, and Brunel, N. "Dynamics of networks of excitatory and inhibitory neurons in response to timedependent inputs." Frontiers in Computational Neuroscience 5 (January 2011): 25. Full Text Open Access Copy
 Mazzoni, A, Brunel, N, Cavallari, S, Logothetis, NK, and Panzeri, S. "Cortical dynamics during naturalistic sensory stimulations: experiments and models." Journal of physiology, Paris 105, no. 13 (January 2011): 215. Full Text
 Mazzoni, A, Whittingstall, K, Brunel, N, Logothetis, NK, and Panzeri, S. "Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model." NeuroImage 52, no. 3 (September 2010): 956972. Full Text
 Panzeri, S, Brunel, N, Logothetis, NK, and Kayser, C. "Sensory neural codes using multiplexed temporal scales." Trends in neurosciences 33, no. 3 (March 2010): 111120. (Review) Full Text
 Graupner, M, and Brunel, N. "Mechanisms of induction and maintenance of spiketiming dependent plasticity in biophysical synapse models." Frontiers in computational neuroscience 4 (January 2010). Full Text
 Brunel, N, and Lavigne, F. "Semantic priming in a cortical network model." Journal of cognitive neuroscience 21, no. 12 (December 2009): 23002319. Full Text
 Ostojic, S, Brunel, N, and Hakim, V. "How connectivity, background activity, and synaptic properties shape the crosscorrelation between spike trains." The Journal of neuroscience : the official journal of the Society for Neuroscience 29, no. 33 (August 2009): 1023410253. Full Text
 Ostojic, S, Brunel, N, and Hakim, V. "Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities." Journal of computational neuroscience 26, no. 3 (June 2009): 369392. Full Text
 Zillmer, R, Brunel, N, and Hansel, D. "Very long transients, irregular firing, and chaotic dynamics in networks of randomly connected inhibitory integrateandfire neurons." Physical review. E, Statistical, nonlinear, and soft matter physics 79, no. 3 Pt 1 (March 18, 2009): 031909. Full Text
 Dugué, GP, Brunel, N, Hakim, V, Schwartz, E, Chat, M, Lévesque, M, Courtemanche, R, Léna, C, and Dieudonné, S. "Electrical coupling mediates tunable lowfrequency oscillations and resonance in the cerebellar Golgi cell network." Neuron 61, no. 1 (January 2009): 126139. Full Text
 Graupner, M, and Brunel, N. "A bitable synaptic model with transitions between states induced by calcium dynamics: theory vs experiment." BMC Neuroscience 10, no. Suppl 1 (2009): O15O15. Full Text
 Mazzoni, A, Panzeri, S, Logothetis, NK, and Brunel, N. "Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons." PLoS computational biology 4, no. 12 (December 12, 2008): e1000239. Full Text
 Roxin, A, Hakim, V, and Brunel, N. "The statistics of repeating patterns of cortical activity can be reproduced by a model network of stochastic binary neurons." The Journal of neuroscience : the official journal of the Society for Neuroscience 28, no. 42 (October 2008): 1073410745. Full Text
 Barbieri, F, and Brunel, N. "Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex?." Frontiers in neuroscience 2, no. 1 (July 14, 2008): 114122. Full Text
 de Solages, C, Szapiro, G, Brunel, N, Hakim, V, Isope, P, Buisseret, P, Rousseau, C, Barbour, B, and Léna, C. "Highfrequency organization and synchrony of activity in the purkinje cell layer of the cerebellum." Neuron 58, no. 5 (June 2008): 775788. Full Text
 Brunel, N, and Hakim, V. "Sparsely synchronized neuronal oscillations." Chaos (Woodbury, N.Y.) 18, no. 1 (March 2008): 015113. Full Text
 Brunel, N. "Daniel Amit (19382007)." Network (Bristol, England) 19, no. 1 (January 2008): 38. Full Text
 Battaglia, D, Brunel, N, and Hansel, D. "Temporal decorrelation of collective oscillations in neural networks with local inhibition and longrange excitation." Physical review letters 99, no. 23 (December 7, 2007): 238106. Full Text
 Barbour, B, Brunel, N, Hakim, V, and Nadal, JP. "What can we learn from synaptic weight distributions?." Trends in neurosciences 30, no. 12 (December 2007): 622629. (Review) Full Text
 Brunel, N, and van Rossum, MCW. "Lapicque's 1907 paper: from frogs to integrateandfire." Biological cybernetics 97, no. 56 (December 2007): 337339. Full Text
 Graupner, M, and Brunel, N. "STDP in a bistable synapse model based on CaMKII and associated signaling pathways." PLoS computational biology 3, no. 11 (November 2007): e221. Full Text
 Baldassi, C, Braunstein, A, Brunel, N, and Zecchina, R. "Efficient supervised learning in networks with binary synapses." Proceedings of the National Academy of Sciences of the United States of America 104, no. 26 (June 20, 2007): 1107911084. Full Text
 Barbieri, F, and Brunel, N. "Irregular persistent activity induced by synaptic excitatory feedback." Frontiers in computational neuroscience 1 (January 2007): 5. Full Text
 Brunel, N, and Hansel, D. "How noise affects the synchronization properties of recurrent networks of inhibitory neurons." Neural computation 18, no. 5 (May 2006): 10661110. Full Text
 Brunel, N. "Course 10 Network models of memory." Les Houches Summer School Proceedings 80, no. C (December 1, 2005): 407476. Full Text
 Geisler, C, Brunel, N, and Wang, XJ. "Contributions of intrinsic membrane dynamics to fast network oscillations with irregular neuronal discharges." Journal of neurophysiology 94, no. 6 (December 2005): 43444361. Full Text
 Roxin, A, Brunel, N, and Hansel, D. "Role of delays in shaping spatiotemporal dynamics of neuronal activity in large networks." Physical review letters 94, no. 23 (June 16, 2005): 238103. Full Text
 Boucheny, C, Brunel, N, and Arleo, A. "A continuous attractor network model without recurrent excitation: maintenance and integration in the head direction cell system." Journal of computational neuroscience 18, no. 2 (March 2005): 205227. Full Text
 Brunel, N, Hakim, V, Isope, P, Nadal, JP, and Barbour, B. "Optimal information storage and the distribution of synaptic weights: perceptron versus Purkinje cell." Neuron 43, no. 5 (September 2004): 745757. Full Text
 FourcaudTrocmé, N, Hansel, D, van Vreeswijk, C, and Brunel, N. "How spike generation mechanisms determine the neuronal response to fluctuating inputs." The Journal of neuroscience : the official journal of the Society for Neuroscience 23, no. 37 (December 2003): 1162811640.
 Brunel, N. "Dynamics and plasticity of stimulusselective persistent activity in cortical network models." Cerebral cortex (New York, N.Y. : 1991) 13, no. 11 (November 2003): 11511161. (Review) Full Text
 Brunel, N, and Latham, PE. "Firing rate of the noisy quadratic integrateandfire neuron." Neural computation 15, no. 10 (October 2003): 22812306. Full Text
 Mongillo, G, Amit, DJ, and Brunel, N. "Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network." The European journal of neuroscience 18, no. 7 (October 2003): 20112024. Full Text
 Brunel, N, Frégnac, Y, Meunier, C, and Nadal, JP. "Neuroscience and computation." Journal of physiology, Paris 97, no. 46 (July 2003): 387390. (Review) Full Text
 Brunel, N, and Wang, XJ. "What determines the frequency of fast network oscillations with irregular neural discharges? I. Synaptic dynamics and excitationinhibition balance." Journal of neurophysiology 90, no. 1 (July 2003): 415430. Full Text
 Brunel, N, Hakim, V, and Richardson, MJE. "Firingrate resonance in a generalized integrateandfire neuron with subthreshold resonance." Physical review. E, Statistical, nonlinear, and soft matter physics 67, no. 5 Pt 1 (May 19, 2003): 051916. Full Text
 Richardson, MJE, Brunel, N, and Hakim, V. "From subthreshold to firingrate resonance." Journal of neurophysiology 89, no. 5 (May 2003): 25382554. Full Text
 Fourcaud, N, and Brunel, N. "Dynamics of the firing probability of noisy integrateandfire neurons." Neural computation 14, no. 9 (September 2002): 20572110. Full Text
 Brunel, N, and Wang, XJ. "Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition." Journal of computational neuroscience 11, no. 1 (July 2001): 6385. Full Text
 Brunel, N, Chance, FS, Fourcaud, N, and Abbott, LF. "Effects of synaptic noise and filtering on the frequency response of spiking neurons." Physical review letters 86, no. 10 (March 2001): 21862189. Full Text
 Brunel, N. "Persistent activity and the singlecell frequencycurrent curve in a cortical network model." Network (Bristol, England) 11, no. 4 (November 2000): 261280. Full Text
 Compte, A, Brunel, N, GoldmanRakic, PS, and Wang, XJ. "Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model." Cerebral cortex (New York, N.Y. : 1991) 10, no. 9 (September 2000): 910923. Full Text
 Brunel, N. "Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons." Journal of computational neuroscience 8, no. 3 (May 2000): 183208. Full Text
 Brunel, N, and Hakim, V. "Fast global oscillations in networks of integrateandfire neurons with low firing rates." Neural computation 11, no. 7 (October 1999): 16211671. Full Text
 Brunel, N, and Trullier, O. "Plasticity of directional place fields in a model of rodent CA3." Hippocampus 8, no. 6 (December 1, 1998): 651665. Full Text
 Brunel, N, and Sergi, S. "Firing frequency of leaky intergrateandfire neurons with synaptic current dynamics." Journal of theoretical biology 195, no. 1 (November 1998): 8795. Full Text
 Brunel, N, and Nadal, JP. "Mutual information, Fisher information, and population coding." Neural computation 10, no. 7 (October 1998): 17311757. Full Text
 Nadal, JP, Brunel, N, and Parga, N. "Nonlinear feedforward networks with stochastic outputs: infomax implies redundancy reduction." Network (Bristol, England) 9, no. 2 (May 1998): 207217. Full Text
 Brunel, N, Carusi, F, and Fusi, S. "Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network." Network (Bristol, England) 9, no. 1 (February 1998): 123152. Full Text
 Brunel, N, and Trullier, O. "Plasticity of directional place fields in a model of rodent CA3." Hippocampus 8, no. 6 (January 1998): 651665. Full Text
 Amit, D, and Brunel, N. "Dynamics of a recurrent network of spiking neurons before and following learning." Network: Computation in Neural Systems 8, no. 4 (November 1, 1997): 373404. Full Text
 Brunel, N, and Ninio, J. "Time to detect the difference between two images presented side by side." Brain research. Cognitive brain research 5, no. 4 (June 1997): 273282. Full Text
 Amit, DJ, and Brunel, N. "Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex." Cerebral cortex (New York, N.Y. : 1991) 7, no. 3 (April 1997): 237252. Full Text
 Brunel, N. "Hebbian learning of context in recurrent neural networks." Neural computation 8, no. 8 (November 1996): 16771710. Full Text
 BRUNEL, N, and ZECCHINA, R. "A SIMPLE GEOMETRICAL BOUND FOR REPLICA SYMMETRY STABILITY IN NEURAL NETWORKS MODELS." Modern Physics Letters B 09, no. 18 (August 10, 1995): 11591164. Full Text
 Amit†, D, and Brunel, N. "Learning internal representations in an attractor neural network with analogue neurons." Network: Computation in Neural Systems 6, no. 3 (August 1, 1995): 359388. Full Text
 Amit, DJ, and Brunel, N. "Learning internal representations in an attractor neural network with analogue neurons." Network: Computation in Neural Systems 6, no. 3 (January 1, 1995): 359388. Full Text
 Amit, DJ, Brunel, N, and Tsodyks, MV. "Correlations of cortical hebbian reverberations: Theory versus experiment." Journal of Neuroscience 14, no. 11 I (November 15, 1994): 64356445.
 Amit, DJ, Brunel, N, and Tsodyks, MV. "Correlations of cortical Hebbian reverberations: theory versus experiment." The Journal of neuroscience : the official journal of the Society for Neuroscience 14, no. 11 Pt 1 (November 1994): 64356445.
 Brunel, N. "Dynamics of an attractor neural network converting temporal into spatial correlations." Network: Computation in Neural Systems 5, no. 4 (November 1, 1994): 449470. Full Text
 Brunel, N. "Storage capacity of neural networks: effect of the fluctuations of the number of active neurons per memory." Journal of Physics A: Mathematical and General 27, no. 14 (July 21, 1994): 47834789. Full Text
 Brunel, N, and Zecchina, R. "Response functions improving performance in analog attractor neural networks." Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics 49, no. 3 (March 1994): R1823R1826. Full Text
 Brunel, N. "Dynamics of an attractor neural network converting temporal into spatial correlations." Network: Computation in Neural Systems 5, no. 4 (January 1, 1994): 449470. Full Text
 Brunel, N. "Effect of synapse dilution on the memory retrieval in structured attractor neural networks." Journal de Physique I 3, no. 8 (August 1993): 16931715. Full Text
 Amit, DJ, and Brunel, N. "Adequate input for learning in attractor neural networks." Network: Computation in Neural Systems 4, no. 2 (January 1, 1993): 177194. Full Text
 Brunel, N, Nadal, JP, and Toulouse, G. "Information capacity of a perceptron." Journal of Physics A: Mathematical and General 25, no. 19 (October 7, 1992): 50175038. Full Text
 Martí, D, Brunel, N, and Ostojic, S. "Correlations between synapses in pairs of neurons slow down dynamics in randomly connected neural networks." Open Access Copy Link to Item

 Teaching & Mentoring

Recent Courses

Advising & Mentoring

Current PhD students:
 Ulises Pereira (University of Chicago, 20132018)
 Max Gillett (20142020)
 Nicolas FourcaudTrocme
 Michael Graupner
 Carlo Baldassi
 Francesca Barbieri
 Erwan Ledoux
 David Higgins
 Alexis Dubreuil
 Yonatan Aljadeff (20142018)
 Alex Roxin
 Ruediger Zillmer
 Kosuke Hamaguchi
 Srdjan Ostojic
 Alberto Mazzoni
 Jian Liu
 Claudia Clopath
 Francesca Barbieri
 Elisa Tartaglia
 Martin Wiechert
 Sukbin Lim
 Maurizio de Pitta

Current PhD students:
 Scholarly, Clinical, & Service Activities

Presentations & Appearances
 ONR meeting on `Mathematical Data Science'. October 9, 2017  October 11, 2017 2017
 A*Midex CompNeuro Days. July 12, 2017  July 13, 2017 2017
 International Conference on Mathematical Neuroscience. May 31, 2017  June 2, 2017 2017
 Symposium on Mathematics of Memory. March 6, 2017  March 10, 2017 2017
 School on Mathematics of Memory. January 16, 2017  January 20, 2017 2017
 Workshop on `Dynamical Systems and Data Analysis in Neuroscience: Bridging the Gap'. October 17, 2016  October 21, 2016 2016
 CNS 2016. July 2, 2016  July 7, 2016 2016
 Workshop `Connecting Network Architecture and Network Computation'. December 6, 2015  December 11, 2015 2015
 Conference on `Statistical Physics Approaches to Networks Across Disciplines'. October 20, 2015  October 23, 2015 2015
 MBL/University of Chicago Neuroscience Workshop. September 14, 2015  September 16, 2015 2015
 Oscillations workshop (CNS 2015). July 22, 2015  July 22, 2015 2015
 Workshop on Stochastic Neural Dynamics (CNS 2015). July 22, 2015  July 23, 2015 2015
 SIAM Conference on Dynamical Systems, Minisymposium on `Stochastic and Nonlinear Dynamics of Neuronal Networks'. May 19, 2015  May 19, 2015 2015
 INCF Summerschool on `Information Processing in Neural Systems: From Single Neurons to LargeScale Models of Cognition'. May 2, 2015  May 10, 2015 2015
 Austin Conference on Learning and Memory. April 24, 2015  April 25, 2015 2015
 Havana's winter school on Statistical Physics Approaches to Systems Biology. February 23, 2015  March 7, 2015 2015

Service to the Profession
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