Symmetries Constrain Dynamics in a Family of Balanced Neural Networks
Abstract 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 fr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2017-10-01
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| Series: | Journal of Mathematical Neuroscience |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13408-017-0052-6 |