nnmt.binary
Collection of functions for binarys neurons.
Network Functions
mean_activity(network, **kwargs) |
Calculates stationary firing rates for a network of binary neurons. |
mean_input(network) |
Calc mean inputs to populations as function of firing rates of populations. |
std_input(network) |
Calcs the standard deviation of the inputs in a network of binary neurons. |
working_point(network, **kwargs) |
Calculates working point (rates, mean, and std input) for binary network. |
balanced_threshold(network, m_exp) |
Calculate threshold equal to input given expected mean activity (balance). |
Parameter Functions
_mean_activity(J, K, theta, **kwargs) |
Calcs firing rates for each population in a network of binary neurons. |
_mean_activity_for_given_input(mu, sigma, theta) |
Calcs the firing rates of binary neurons for given input statistics. |
_mean_input(m, J, K[, J_ext, K_ext, m_ext]) |
Calculates the mean inputs in a network of binary neurons. |
_std_input(m, J, K[, J_ext, K_ext, m_ext]) |
Calcs the standard deviation of the inputs in a network of binary neurons. |
_balanced_threshold(m_exp, J, K) |
Calculate threshold equal to input given expected mean activity (balance). |