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Symmetries Constrain Dynamics in a Family of Balanced Neural Networks
We examine a family of random firing-rate neural networks in which we enforce the neurobiological constraint of Dale’s Law—each neuron makes either excitatory or inhibitory connections onto its post-synaptic targets. We find that this constrained system may be described as a perturbation from a syst...
Autores principales: | Barreiro, Andrea K., Kutz, J. Nathan, Shlizerman, Eli |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635020/ https://www.ncbi.nlm.nih.gov/pubmed/29019105 http://dx.doi.org/10.1186/s13408-017-0052-6 |
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