期刊
NEURAL COMPUTATION
卷 12, 期 3, 页码 473-518出版社
M I T PRESS
DOI: 10.1162/089976600300015673
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资金
- NATIONAL EYE INSTITUTE [R01EY011276] Funding Source: NIH RePORTER
- NEI NIH HHS [EY11276] Funding Source: Medline
- NIMH NIH HHS [MH50166] Funding Source: Medline
The use of a population dynamics approach promises efficient simulation of large assemblages of neurons. Depending on the issues addressed and the degree of realism incorporated in the simulated neurons, a wide range of different population dynamics formulations can be appropriate. Here we present a common mathematical structure that these various formulations share and that implies dynamical behaviors that they have in common. This underlying structure serves as a guide toward efficient means of simulation. As an example, we derive the general population firing-rate frequency-response and show how it may be used effectively to address a broad range of interacting-population response and stability problems. A few specific cases will be worked out. A summary of this work appears at the end, before the appendix.
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