Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems
Highly connected recurrent neural networks often produce chaotic dynamics, meaning their precise activity is sensitive to small perturbations. What are the consequences of chaos for how such networks encode streams of temporal stimuli? On the one hand, chaos is a strong source of randomness, suggest...
| Main Authors: | , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156368/ |