Paradoxical self-sustained dynamics emerge from orchestrated excitatory and inhibitory homeostatic plasticity rules
| Autor: | Saray Soldado-Magraner, Michael J. Seay, Rodrigo Laje, Dean V. Buonomano |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 43 |
| ISSN: | 1091-6490 0027-8424 |
| DOI: | 10.1073/pnas.2200621119 |
| Popis: | Self-sustained neural activity maintained through local recurrent connections is of fundamental importance to cortical function. Converging theoretical and experimental evidence indicates that cortical circuits generating self-sustained dynamics operate in an inhibition-stabilized regime. Theoretical work has established that four sets of weights ( W E←E , W E←I , W I←E , and W I←I ) must obey specific relationships to produce inhibition-stabilized dynamics, but it is not known how the brain can appropriately set the values of all four weight classes in an unsupervised manner to be in the inhibition-stabilized regime. We prove that standard homeostatic plasticity rules are generally unable to generate inhibition-stabilized dynamics and that their instability is caused by a signature property of inhibition-stabilized networks: the paradoxical effect. In contrast, we show that a family of “cross-homeostatic” rules overcome the paradoxical effect and robustly lead to the emergence of stable dynamics. This work provides a model of how—beginning from a silent network—self-sustained inhibition-stabilized dynamics can emerge from learning rules governing all four synaptic weight classes in an orchestrated manner. |
| Databáze: | OpenAIRE |
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