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Physics of neural circuits and network dynamics: January 27-31, 2020

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Organized by: Giancarlo La Camera, Luca Mazzucato, Jin Wang and Michael R. Douglas

This workshop brings together leading researchers to discuss current progress on uncovering emergent phenomena and design principles of brain function. The workshop is organized to encourage discussion across different research communities including physics, mathematics, machine learning, and neuroscience with a special emphasis on dynamic aspects of neural activity. Neurons are capable of a wide repertoire of collective dynamical behaviors, and converging evidence suggests that these collective dynamics play a fundamental role in cognitive function. However, the fundamental principles governing neural network dynamics, as well as the mechanisms of neural dynamics supporting complex computation, are largely unknown. Understanding the brain will ultimately depend on our ability to infer the neural code from the statistical analysis of complex high dimensional data, and to explain it in terms of physical models based on neural networks. Progress in this direction has been accelerated by the fruitful contamination of neuroscience with statistical mechanics, dynamical systems, machine learning, information theory and other fields. This workshop will be a unique opportunity to exchange and integrate leading views on very large datasets, state-of-the-art analysis tools, biologically plausible models and dynamic models of cortical computation.

This event is co sponsored by the Department of Neurobiology and Behavior and the Center for Neural Circuits Dynamics

This workshop is associated with the program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back: January 6-31, 2020

Talk Schedule


Time Title Speaker Location
9:30am Opening Remarks N/A SCGP 102
9:45am The dynamics that lead to generalization in Deep learning Tali Tishby SCGP 102
10:30am Coffee Break N/A SCGP cafe
11:00am TBA Dmitri Chklovskii SCGP 102
11:45am TBA Nicolas Brunel SCGP 102
12:30pm Lunch N/A SCGP cafe
2:00pm A non-perturbative renormalization group analysis of strongly-coupled spiking networks Braden Brinkman SCGP 102
2:45pm Temporal stimulus segmentation by reinforcement learning in populations of spiking neurons Giancarlo La Camera SCGP 102
3:30pm Coffee Break N/A SCGP cafe
4:00pm Nonequilibrium neural network dynamics and thermodynamics revealed by the global landscape and flux quantifications Jin Wang SCGP 102
4:45pm Neural Clustering Processes Ari Pakman SCGP 102

Time Title Speaker Location
9:45am Circuit mechanisms for learning in sensory cortex Arianna Maffei SCGP 102
10:30am Coffee Break N/A SCGP cafe
11:00am Dynamically relevant motifs in inhibition-dominated networks Carina Curto SCGP 102
11:45am Lunch N/A SCGP cafe
1:00pm Mathematical models of human memory Misha Tsodyks N/A
2:00pm Reverse Engineering Visual Intelligence Jim DiCarlo SCGP 102
2:45pm The geometry of abstract neural representations Stefano Fusi SCGP 102
3:30pm Coffee Break N/A SCGP cafe
4:00pm TBA Ken Miller SCGP 102
4:45pm Stimulus-choice population code (mis)alignment in the middle temporal cortex during perceptual decision-making Memming Park SCGP 102

Time Title Speaker Location
9:45am Disparity as a tool to understand how cortical neurons exploit the statistics of the natural environment Bruce Cumming SCGP 102
10:30am Coffee Break N/A SCGP cafe
11:00am A maximum entropy combinatorial code for two quite different neural systems Chuck Stevens SCGP 102
11:45am Information flow in excitatory and inhibitory cortical circuits Brent Doiron SCGP 102
12:30pm Lunch N/A SCGP cafe
2:00pm TBA Surya Ganguli SCGP 102
2:45pm Metastable attractors explain the variable timing of stable behavioral action sequences Luca Mazzucato SCGP 102
3:30pm Coffee Break N/A SCGP cafe
4:00pm Theory of orientation selectivity in rodent primary visual cortex David Hansel SCGP 102
4:45pm TBA Anitha Pasupathy SCGP 102

Time Title Speaker Location
9:45am What is being computed where in the ventral visual stream and beyond Barry Richmond SCGP 102
10:30am Coffee Break N/A SCGP cafe
11:00am Discovering interpretable models of neural population dynamics from data Tatiana Engel SCGP 102
11:45am Causal Emergence: Can Macro Beat Micro? William Marshall SCGP 102
12:30pm Lunch N/A SCGP cafe
2:00pm TBA David Schwab SCGP 102
2:45pm TBA Misha Tsodyks SCGP 102
3:30pm Coffee Break N/A SCGP cafe
4:00pm Multistable, metastable, and quasi-stable attractor states in cognitive processing Paul Miller SCGP 102
4:45pm How will we do mathematics in 2030? Mike Douglas SCGP 102

Time Title Speaker Location
9:45am Dimensionality, Information and Learning in Prefrontal Cortex Bruno Averbeck SCGP 102
10:30am Coffee Break N/A SCGP cafe
11:00am Statistical Mechanics of Generalization in Kernel Machines and Deep Networks in the Infinite-Width Limit Cengiz Pehlevan SCGP 102
11:45am Mesoscopic mean-field models for spiking neural networks Tilo Schwalger SCGP 102
12:30pm Lunch N/A SCGP cafe
2:00pm Final Remarks and Farewell N/A SCGP 102