Curriculum Vitæ. Yoram Burak

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1 Curriculum Vitæ Education Yoram Burak Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 91904, Israel Tel Updated: October Tel-Aviv University, Israel Graduate studies in physics. Condensed matter, direct course of studies towards a Ph.D. in physics. Title: Solvent mediated interactions in electrolytes and related electrostatic systems. Advisor: Prof. David Andelman Ph.D. With Distinction Tel-Aviv University, Israel Undergraduate studies in physics (major) and computer science (minor), Disciplinary Program for Excellence B.Sc. Summa cum Laude. Professional experience Assistant Professor. Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem Swartz Fellow in Theoretical Neuroscience. Center for Brain Science, Harvard University Research Associate. Kavli Institute for Theoretical Physics, UC Santa Barbara Research and Teaching Assistant. Tel-Aviv University Consultant. Algotec Systems Ltd., Israel Military Service. Israel Defense Forces. Visiting appointments 2018 Visiting scientist. Simons Institute for the Theory of Computing, UC Berkeley, February-March, Visiting Professorship. Physics Department, École Normale Supérieure, Paris. Professional activities 2019 Co-organizer, 7th France-Israel binational conference in neuroscience, Jerusalem, December Co-organizer, Cosyne workshop on Neural Representations and Coding under Resource Limitations, Cascais, Portugal, March Faculty member, F1000Prime Session co-organizer and chair, Computational and Theoretical Neuroscience, Annual meeting of the Israel Society for Neuroscience (ISFN), Eilat, December 2017.

2 2017- Scientific organizer: Colloquium in Brain Science, Edmond and Lily Safra Center for Brain Science, Hebrew University Co-organizer, Brainy Days in Jerusalem 2017, Jerusalem, June Co-organizer, Brainy Days in Jerusalem: the 5 th Anniversary of the Edmond and Lily Safra Center for Brain Sciences, Jerusalem, June Associate Editor, Frontiers in Computational Neuroscience. (Review Editor - from 2013) Co-organizer, Gatsby Tri-Center Meting, Jerusalem, 2014 (Gatsby Unit, UCL; Center for Theoretical Neuroscience, Columbia University; ELSC, Hebrew University). 2012, 3, 4 Co-organizer, ELSC Annual Workshop in Theoretical Neuroscience, Hebrew University Reviewer, The European Commission. 2013,5 Reviewer, The Israel Science Foundation. 2012, 3 Reviewer, Computational and Systems Neuroscience (COSYNE) Referee for the journals: Physical Review Letters, Physical Review E, PLoS Computational Biology, PLoS One, Neuron, E-Life, Frontiers in Neural Circuits, Neural Networks, Nature Neuroscience, Current Opinion in Neurobiology, Scientific Reports, Hippocampus, Science Advances, Neural Computation, Macromolecules, Langmuir, The European Physical Journal E, Journal of Physical Chemistry, Journal of Statistical Mechanics: Theory and Experiment Prizes and honors 2009 Conference poster prize: Cells, Circuits, and Computation Swartz Fellowship in Theoretical Neuroscience Ph.D. awarded with distinction Marejn Scholarship for Ph.D. Studies Minerva Foundation Grant The Wolf Foundation Award for Ph.D. Students Award for excellence in Teaching, Tel-Aviv University B.Sc. Summa cum Laude. 1989,90,91 Dean Distinction, Tel-Aviv University. Invited teaching in international courses and summer schools 2019 Computational Neuroscience Summer School, Tsinghua University, China, August Title TBD Neurobridges 2018 Computational Neuroscience Summer School, Cluny, France, October Lecture series (6 hours): Bumps, grids, and spatial coding 2017 Neurobridges 2017 Computational Neuroscience Summer School, Cluny, France, September Lecture series (8 hours): Bumps, grids, and spatial coding acns Summer School: Theoretical Perspectives on Neural Assemblies, Göttingen, Germany, September Lecture series (6 hours): Short term memory and plasticity in stochastic neural networks. Invited talks (past 9 years) 2018 Annual meeting of the Israel Physical Society, Jerusalem, Israel, December Inference amid dynamic uncertainty may explain the contrast paradox in the vernier hyperacuity task. The dynamic organism: from molecules to cognition. HUJI-UCL joint meeting, Hebrew University, Jerusalem, Israel, November Velocity coupling of grid cell modules in the entorhinal cortex.

3 Interdisciplinary Institute for Neuroscience and Cognition: INC Day 2018, Paris Descartes University, Paris, France, October Collective plasticity dynamics in recurrent neural networks. Dynamics of learning and computations in neuronal circuits: Advanced Methods in Theoretical Neuroscience Workshop, Göttingen, Germany, June Continuous parameter working memory in stochastic and chaotic neural networks. Inter-academy meeting of the German Academy of Science (Leopoldina) and the Israel Academy of Sciences and Humanities, Berlin, Germany, May Principles of neural coding in the grid cell system: implications for dynamics and organization. Computational and Systems Neuroscience (COSYNE) Workshop: The multiple facets of activitydependent synaptic plasticity: shaping circuits, generating representations, modulating behavior, Breckenridge, Colorado, USA, March How high-order synaptic interactions shape the global structure of recurrent neural circuits Raymond and Beverly International Sackler Prize in Biophysics: The Sackler Biophysics Symposium on Physical Principles in Biological Systems, Tel-Aviv, Israel, December Encoding of an animal's trajectory by grid cells in the entorhinal cortex. Spring Hippocampal Research Conference, Taormina, Italy, June Grid cell coding and decoding of dynamic rat trajectories Finding the right balance: on the interplay of excitation and inhibition in neural dynamics, Mitzpe Ramon, Israel, December Storage of a continuous variable in a balanced neural network: Is chaotic irregular activity equivalent to intrinsic neural noise? BioSoft Frontiers: Physics of Soft and Biological Matter, Rechovot and Tel-Aviv, Israel, September Encoding of an animal's trajectory by grid cells in the entorhinal cortex. 6 th French-Israel Neuroscience Conference, Marseille, France, July What principle may determine the allocation of grid cells to modules in the entorhinal cortex? 2015 Neural Circuits, from Structure to Computation. Symposium in honor of Prof. Haim Sompolinsky, Jerusalem, Israel, December Shaping neural circuits by high-order synaptic interactions. Brainy Days in Jerusalem, June Efficient coding of a dynamic trajectory in the entorhinal Cortex. Computational and Systems Neuroscience (COSYNE) workshop: Grid cells, a decade of unraveling the mechanisms and function of a cognitive cortical code, Snowbird, Utah, USA, March Dynamics and neural coding: what principles may determine the number of cells in each grid cell module? 2013 Neuroscience Meets Neurotechnology, Jerusalem, Israel, Decemeber Short term memory in stochastic neural networks. Annual meeting, Organization for Computational Neuroscience, workshop: Neural mechanisms of working memory limits, Paris, July Fundamental limits on persistent activity in stochastic attractor networks Annual meeting of the Israel Physical Society, Jerusalem, Israel, December Fundamental limits on persistent memory in noisy neural networks. 4 th France-Israel Binational Neuroscience Conference, Aussois, France, March Fundamental limits on short term memory of sensory inputs in noisy neural networks Annual meeting of the Israeli Society for Neuroscience, Workshop: From Neurons to Networks in Sensorimotor Learning and Perception, Eilat, Israel, December Temporal precision of motor sequences: statistical inference from behavioral and neural data from songbirds.

4 Selected contributions in other scientific meetings (past 9 years) 2019 Spring Hippocampal Research Conference, Taormina, Italy, June Talk: Functional consequences of of dynamic coupling between place cells and grid cells Computational and Systems Neuroscience (COSYNE), Lisbon, Portugal, February Poster presentations: 1. A theory of inference amid fixational drift explains the contrast paradox in vernier hyperacuity (presented by Nadav Ben Shushan). 2. Bidirectional coupling of grid cells and place cells as a mechanism for robust spatial representation across multiple maps (presented by Haggai Agmon). 3. Biologically plausible mechanism for noise resilience in continuous parameter working memory (presented by Nimrod Shaham). 4. Representation of 3D space in the entorhinal cortex of flying bats. In collaboration with Gily Genosar, Johnatan Aljadeff, Haim Sompolinsky, Liora Las, and Nachum Ulanovsky. Presented by Gily Genosar (shortlisted for a talk) Society for Neuroscience Annual Meeting, San Diego, California, USA, November Poster presentation (Gily Ginosar, Johnatan Aljadeff, Yoram Burak, Haim Sompolinsky, Liora Las, Nachum Ulanovsky): Representation of 3D space in the entorhinal cortex of flying bats. Gatsby Tri-Center Meeting, Columbia University, New York, New York, USA, June Talk: Velocity coupling of attractor networks. Computational and Systems Neuroscience (COSYNE), Denver, Colorado, USA, February Poster presentation: Stabilizing the grid cell representation by coupling modules through recurrent synaptic connectivity (presented by Noga Mosheiff) Gatsby Tri-Center Meeting, Hebrew University, Jerusalem, Israel, June Talk: A neural mechanism for super-diffusive eye motion. Computational and Systems Neuroscience (COSYNE), Salt Lake City, Utah, USA, February Poster presentation: Neural adaptation may explain anomalous diffusion in fixational eye motion (presented by Nimrod Shaham) Gatsby Tri-Center Meeting, University College London, London, United Kingdom, June Talk: What principle may determine the allocation of grid cells to modules in the entorhinal cortex? Computational and Systems Neuroscience (COSYNE), Salt Lake City, Utah, USA, February Contributed talk: 1. Efficient coding of a dynamic trajectory predicts non-uniform allocation of grid cells to modules (presented by Noga Weiss Mosheiff). Poster presentations: 2. Emergence of global structures through high order synaptic interactions (presented by Neta Ravid Tannenbaum). 3. Continuous parameter working memory in a balanced chaotic neural network (presented by Nimrod Shaham) Society for Neuroscience Annual Meeting, Chicago, Illinois, USA, November Poster presentations: 1. Continuous parameter working memory in a balanced chaotic neural network (presented by Nimrod Shaham). 2. High order interactions between synapses affect the average dynamics of the synaptic efficacy in recurrent neural network (presented by Neta Ravid) 3. An efficient coding theory for a dynamic trajectory predicts non-uniform allocation of grid cells to modules in the entorhinal cortex (presented by Noga Weiss). Gatsby Tri-Center Meeting, Columbia University, New York, New York, USA, June Talk: Shaping of a neural circuit by high order synaptic interactions KITP program: Neurophysics of Space, Time, and Learning, Santa Barbara, California, USA, January Talk: Limits on memory persistence in stochastic attractor networks.

5 2013 Gatsby Tri-Center Meeting, London, United Kingdom, July Talk: Fundamental limits on short-term memory of sensory inputs in noisy neural networks Computational and Systems Neuroscience (COSYNE), Salt Lake City, Utah, USA, February Poster Presentation: Quadratic decoders for invariant perceptual discrimination Computation and collective behavior in biological systems, Aspen Center for Physics, Aspen, Colorado, USA, June Talk: Fundamental limits for short-term memory in spiking neural networks. Computational and Systems Neuroscience (COSYNE), Salt Lake City, Utah, USA, February Poster Presentation: An information-diffusion inequality for continuous-attractor neural networks. Seminars and colloquia (past 9 years) 2019 Tel-Aviv University, Physics colloquium, Tel Aviv, Israel. Title TBA Bar Ilan University, Applied mathematics seminar, Ramat Gan, Israel. Grid cells in the entorhinal cortex: spatial encoding and representation in the mammalian brain. UC Berkeley, Simons Institute for the Theory of Computing (Brain and Computation Seminar series), Berkeley, California, USA. Stochasticity, coding, and dynamics in continuous-parameter working memory École Normale Supérieure, Paris, Group for Neural Theory, Laboratoire de Neurosciences Cognitives, Paris, France. Grid cell spikes as a neural code for a moving target: why are grid cells with large spacing relatively scarce? 2016 Weizmann Institute of Science, Department of Neurobiology, Rehovot, Israel. Shaping neural circuits by high order synaptic interactions Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway. Grid cell activity as a neural code for a moving target: why are grid cells with large spacing relatively scarce? Janelia Research Campus. Ashburn, Virginia, USA. Shaping neural circuits by high order synaptic interactions. Bernstein Center for Computational Neuroscience, Munich, Germany. Efficient coding of a dynamic trajectory by grid cells in the entorhinal cortex. Technion - Israeli Institute of Technology, Department of Physiology and Biophysics, Haifa, Israel. Shaping of a neural circuit by high order synaptic interactions. Ben Gurion University of the Negev. YDSEEP, Sde Boker, Israel. Grid cells: How the brain encodes an animal's trajectory in space Bernstein Center for Computational Neuroscience, Heidelberg/Mannheim, Germany. A fundamental relationship between coding and persistence in noisy neural networks. Hebrew University of Jerusalem, Racah Institute of Physics, Jerusalem, Israel. Colloquium: Short term memory and coding in stochastic neural networks 2013 Columbia University, Center for Theoretical Neuroscience, New York, New York, USA. Fundamental limits on persistent activity in stochastic attractor networks. Salk Institute, Computational Neurobiology Laboratory, San Diego, California, USA. Fundamental limits on persistent activity in stochastic attractor networks University of Texas at Austin, Center for Learning and Memory, Austin, Texas, USA. Visual inference amid fixational eye movements. Harvard University, Center for Brain Science and SEAS, Cambridge, Massachusetts, USA. Visual inference amid fixational eye movements Emory University, Physics department, Atlanta, Georgia, USA. Colloquium: Visual inference amid fixational eye movements Tel-Aviv University, Adams Super Center for Brain Studies, Tel-Aviv, Israel. Statistical inference in the brain: modeling of activity in sensory and motor areas.

6 Yoram Burak: Publications Computational Neuroscience 1. N. Ravid Tannenbaum and Y. Burak, Theory of nonstationary Hawkes processes. Physical Review E 96, (2017). Editor s Suggestion, December N. Weiss Mosheiff, Haggai Agmon, Avraham Moriel, and Y. Burak, A theory for efficient coding of a dynamic trajectory predicts non-uniform allocation of grid cells to modules in the entorhinal cortex. PLoS Computational Biology 13, e (2017) 3. N. Shaham and Y. Burak, Slow diffusive dynamics in a chaotic balanced neural network. PLoS Computational Biology 13, e (2017). 4. N. Ravid Tannenbaum and Y. Burak, Shaping neural circuits by high order synaptic interactions. PLoS Computational Biology 12, e (2016). 5. Y. Burak. Spatial coding and attractor dynamics of grid cells in the entorhinal cortex. Current Opinion in Neurobiology 25, 169 (2014). F1000Prime recommended. 6. A. Farhan, T.M. Otchy, C. Pehlevan, A.L. Fantana, Y. Burak, and B.P. Ölveczky. The basal ganglia is necessary for leaning spectral, but not temporal features of birdsong. Neuron 80, 494 (2013) 7. Y. Burak and I.R. Fiete. Fundamental limits on persistent activity in networks of noisy neurons. Proceedings of the National Academy of Sciences, USA 109, (2012). 8. Y. Burak, U. Rokni, M. Meister, and H. Sompolinsky, A Bayesian model of dynamical images stabilization in the visual system. Proceedings of the National Academy of Sciences, USA 107 cover, (2010). 9. Y. Burak, S. Lewallen, and H. Sompolinsky. Stimulus-dependent correlations in threshold-crossing spiking neurons. Neural Computation 21, 2269 (2009). 10. Y. Burak and I.R. Fiete. Accurate path integration in continuous attractor network models of grid cells. PLoS Computational Biology 5, e (2009). 11. P.E. Welinder, Y. Burak, and I.R. Fiete. Grid cells: The position code, neural network models of activity, and the problem of learning. Hippocampus 18, 1283 (2008).

7 12. I.R. Fiete, Y. Burak, and T. Brookings, What grid cells convey about rat position. Journal of Neuroscience 28, 6856 (2008). Related to: Y. Burak, T. Brookings, and I.R. Fiete, Triangular lattice neurons may encode rat position using an advanced numeral system. arxiv.org, q-bio.nc/ Y. Burak and I.R. Fiete, Do we understand the emergent dynamics of grid cell activity? Journal of Neuroscience 26, 9352 (2006). Statistical Physics, Biophysics, and Computational Biology 14. A. Rotem, T. Gefen, S. Oviedo-Casado, J. Prior, S. Schmitt, Y. Burak, L. McGuiness, F. Jelezko, A. Retzker, Limits on spectral resolution measurements by quantum probes. Physical Revew Letters, Accepted (2019). 15. Y. Burak and B.I. Shraiman, Order and stochastic dynamics in Drosophila planar cell polarity. PLoS Computational Biology 5, e (2009). 16. M. Kanduč, M. Trulsson, A. Naji, Y. Burak, J. Forsman, and R. Podgornik, Weak- and strong- coupling electrostatic interactions between asymmetrically charged planar surfaces. Physical Review E 78, (2008) 17. M. Thattai, Y. Burak, and B.I Shraiman The origins of specificity in polyketide synthase protein interactions. PLoS Computational Biology 3, 1827 (2007) 18. D. Ben-Yaakov, Y. Burak, D. Andelman, and S. A. Safran, Electrostatic interactions of asymmetrically charged membranes. Europhysics Letters 79, (2007). 19. Y. Burak and H. Orland, Manning condensation in two dimensions. Physical Review E (Rapid Communications) 73, (2006). 20. Y. Burak, G. Ariel, and D. Andelman, Competition between condensation of monovalent and multivalent ions in DNA aggregation. Current Opinion in Colloid and Interface Science 9, 53 (2004). 21. Y. Burak, H. Orland, and D. Andelman Test-charge theory for the electric double layer. Physical Review E 70, (2004). 22. Y. Burak and R.R. Netz, Charge regulation of interacting weak polyelectrolytes. Journal of Physical Chemistry B 108, 4840 (2003). 23. Y. Burak, G. Ariel, and D. Andelman, Onset of DNA aggregation in presence of monovalent and multivalent counterions. Biophysical Journal 85, 2100 (2003).

8 24. Y. Burak and D. Andelman, Discrete Aqueous Solvent Effects and Possible Attractive Forces. Journal of Chemical Physics 114, 3271 (2001). 25. Y. Burak and D. Andelman, Hydration Interactions: Aqueous Solvent Effects in Electric Double Layers, Physical Review E 62, 5296 (2000). Monograph in preparation : D. Andelman, Y. Burak, H. Orland, Electrostatic Interactions in Liquids: Ions, Membranes, Polymers, and Colloids. Cambridge University Press, ~450 pages. Expected publication: Spring 2019.

Curriculum Vitæ. Yoram Burak. Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences,

Curriculum Vitæ. Yoram Burak. Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences, Education Curriculum Vitæ Yoram Burak Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem, Edmond J. Safra Campus, Jerusalem 91904, Israel