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APMA 1930N - Stochastic Models of Neuronal Networks |
Senior seminar on stochastic models of neuronal network dynamics. Topics will include: dynamics of sparsely connected networks; various regimes and phase transitions; role of network structure and network motifs; spike-timing-dependent plasticity. Some of the tools: mean-field approach; eigenvalue spectra of random matrices; numerical simulation. Required background: calculus, basic probability. Background in neuroscience is helpful but not required. We will start with a few lectures to set up the stage.
1.000 Credit hours 1.000 Lecture hours Levels: Graduate, Undergraduate Schedule Types: Primary Meeting Applied Mathematics Department |
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