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Status: Unchecked ×Keyword: torus manifolds ×Clear all

3 claims from 1 paper

1. Neuroscience › Memory and Neural Mechanisms

   Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors

   Zhang, Long, Zhang and Chen · Cell Reports · 2022

   The authors trained an excitatory-inhibitory recurrent network on a navigation task and found grid-like responses, torus-like population dynamics and attractors, suggesting shared mechanisms for V2 grid cells.

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   1. UncheckedIn a trained excitatory-inhibitory neural network, both unit types show grid-like responses that hold across spatial cues, visual input size and activation function.“We find grid-like responses in both excitatory and inhibitory RNN units, which are robust with respect to spatial cues, dimensionality of visual input, and activation function.”
   2. UncheckedIn a trained excitatory-inhibitory neural network model, the combined activity of its units lies on a low-dimensional, torus-like shape and settles into stable states.“Population responses reveal a low-dimensional, torus-like manifold and attractor.”
   3. UncheckedIn a recurrent neural network trained on a visual sequence recognition task, some units showed irregular grid-like firing patterns.“Finally, irregular grid patterns are found in recurrent neural network (RNN) units during a visual sequence recognition task.”