Sequence generation in inhibition-dominated neural networks
Caitlyn Parmelee, Juliana Londono Alvarez, Carina Curto, Katherine, Morrison

TL;DR
This paper discusses how certain inhibition-dominated neural networks can generate sequential activity patterns, highlighting specific architectures that produce such dynamics.
Contribution
It provides an overview of network architectures capable of producing sequential dynamics in inhibition-dominated neural networks, based on prior detailed results.
Findings
Networks can generate stable sequences of activity
Inhibition-dominated architecture influences dynamics
Specific architectures enable sequential pattern generation
Abstract
This is a brief overview of results from [arXiv:2107.10244, ref 11], on network architectures that produce sequential dynamics in a special family of inhibition-dominated neural networks. It was written for SIAM DSWeb.
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Taxonomy
TopicsNeural Networks and Applications
