apply_gradient | APPLY_GRADIENT applies gradient-based changes to network weights and delays |
calculate_gradient | CALCULATE_GRADIENT returns array that relates spiking and synaptic indices |
display | DISPLAY displays a theta neuron network object |
display_results | DISPLAY_RESULTS displays the desired and actual spike times |
get_error | GET_ERROR calculates the sum of squared error in output spike times |
get_input_neurons | GET_INPUT_NEURONS returns array of input neuron indices |
get_output_neurons | GET_OUTPUT_NEURONS returns array of output neuron indices |
numerical_gradient | NUMERICAL_GRADIENT calculates part of the numerical gradient |
relate_q_to_k | RELATE_Q_TO_K relates spiking and synaptic indices |
run_network | RUN_NETWORK calculates the firing behavior of a network of theta neuron |
run_networked_neuron | RUN_NETWORKED_NEURON calculates the firing behavior of a single theta neuron |
subsasgn | SUBSASGN allows theta neuron object fields to be subscript assigned |
subsref | SUBSREF allows theta neuron network object fields to be subscript referenced |
theta_neuron_network | THETA_NEURON_NETWORK constructs a theta neuron network object |
train | TRAIN trains a theta neuron network given spike time inputs |
train_dataset | TRAIN_DATA trains a theta neuron network given dataset information |
train_epoch | TRAIN_EPOCH trains a theta neuron network for a single epoch |
update_structure | UPDATE_STRUCTURE calculates static network properties |
verbose | No help needed! |