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11 papers · 1 filter
Slow Transition to Low-Dimensional Chaos in Heavy-Tailed Recurrent Neural Networks
Yi Xie, Stefan Mihalas, Łukasz Kuśmierz
Growing evidence suggests that synaptic weights in the brain follow heavy-tailed distributions, yet most theoretical analyses of recurrent neural networks (RNNs) assume Gaussian co…
Identifying the impact of local connectivity patterns on dynamics in excitatory-inhibitory networks
Yuxiu Shao, David Dahmen, Stefano Recanatesi +2
Networks of excitatory and inhibitory (EI) neurons form a canonical circuit in the brain. Seminal theoretical results on dynamics of such networks are based on the assumption that…
Non-separability of Physical Systems as a Foundation of Consciousness
Anton Arkhipov
A hypothesis is presented that non-separability of degrees of freedom is the fundamental property underlying consciousness in physical systems. The amount of consciousness in a sys…
Network Dynamics Governed by Lyapunov Functions: From Memory to Classification
Merav Stern, Eric Shea-Brown
In 1982 John Hopfield published a neural network model for memory retrieval, a model that became a cornerstone in theoretical neuroscience. A key ingredient of the Hopfield model w…
A coupled autoencoder approach for multi-modal analysis of cell types
Rohan Gala, Nathan Gouwens, Zizhen Yao +6
Recent developments in high throughput profiling of individual neurons have spurred data driven exploration of the idea that there exist natural groupings of neurons referred to as…
Convolutional neural networks with extra-classical receptive fields
Brian Hu, Stefan Mihalas
Convolutional neural networks (CNNs) have had great success in many real-world applications and have also been used to model visual processing in the brain. However, these networks…