Abstract
We present an asymptotic analysis of two coupled linear-nonlinear systems. Through measuring first and second input-output statistics of the systems in response to white noise input, one can completely characterize the systems and their coupling. The proposed model is similar to a widely used phenomenological model of neurons in response to sensory stimulation and may be used to help characterize neural circuitry in sensory brain regions.
Original language | English (US) |
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Pages (from-to) | 1208-1230 |
Number of pages | 23 |
Journal | SIAM Journal on Applied Mathematics |
Volume | 63 |
Issue number | 4 |
DOIs | |
State | Published - Mar 2003 |
Keywords
- Correlations
- Neural networks
- Weiner analysis
- White noise