Dimensionality Reduction and Population Dynamics in Neural Data

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A local synaptic update rule for ICA and dimensionality reduction (this talk will be streamed)

Bayesian time perception through latent cortical dynamics

Brain-state modulation of population dynamics and behavior (this talk will be streamed)

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

Coffee break

Discovering interpretable models of neural population dynamics from data (this talk will be streamed)

Disentangling the roles of dimensionality and cell classes in neural computation

Identifying latent manifold structure from neural data with Gaussian process models (this talk will be streamed)

Introduction

Learning within and outside of the neural manifold (this talk will be streamed)

Low dimensional manifolds and temporal sequences of neuronal activity in the neocortex (this talk will be streamed)

Lunch break

Lunch break

Lunch break

Lunch break

Merging E/I balance and low-dimensional dynamics to understand robustness to optogenetic stimulation in motor cortex (this talk will be streamed)

Multiscale relevance and informative encoding in neuronal spike trains (this talk will be streamed)

Neural manifolds for the stable control of movement (this talk will be streamed)

Nneurons→∞ (this talk will be streamed)

Reception

Stereotyped population dynamics in the medial entorhinal cortex

Strong and weak principles for neural dimension reduction (this talk will be streamed)

TBD

The shape of neural state space

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11/02/2020

12/02/2020

13/02/2020

14/02/2020

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