Simulations of Wang Buzsaki neurons with adaptation in the form of an M-current. Includes simulations of single neurons, and competitive networks. Code is modularly designed: there's a right-hand-side-function, a solver (either a hand-coded one or an interface to a Scipy solver) and a driver (a function that calculates the RHS and solves for the next time step for all specificed time steps). I used versions of these codes to do simulations of rivalry with realistic conductance based neurons.
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Simulating networks of Hodgkin Huxley type neurons with spike frequency adaptation
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