ctrnn.core
Simulates Continuous-Time Recurrent Neural Networks (CTRNNs).
Simulates Continuous-Time Recurrent Neural Networks (CTRNNs).
activationclj
(activation neuron)Return current activation (firing frequency) of neuron.
Return current activation (firing frequency) of neuron.
add-neuronclj
(add-neuron ctrnn neuron)Return CTRNN with neuron added.
Return CTRNN with neuron added.
add-synapseclj
(add-synapse neuron from-neuron strength)Return neuron with new synaptic connection added.
Return neuron with new synaptic connection added.
make-ctrnnclj
(make-ctrnn initial-neurons timestep)Return a new CTRNN with initial neurons and a set integration timestep.
Return a new CTRNN with initial neurons and a set integration timestep.
make-neuronclj
(make-neuron bias time-constant & {:keys [id]})Return new neuron with given bias and time-constant.
Return new neuron with given bias and time-constant.
neuronsclj
(neurons ctrnn)Return a seq of all neurons in the CTRNN.
Return a seq of all neurons in the CTRNN.
set-biasclj
(set-bias neuron bias)Return neuron with bias set to given value.
Return neuron with bias set to given value.
set-external-currentclj
(set-external-current neuron external-current)Return neuron with external current set to given value.
Return neuron with external current set to given value.
update-ctrnnclj
(update-ctrnn ctrnn)Return CTRNN with neuron membrane potentials updated to next timestep.
Return CTRNN with neuron membrane potentials updated to next timestep.
update-membrane-potentialclj
(update-membrane-potential n ctrnn)Return neuron with membrane potential updated to next timestep.
Return neuron with membrane potential updated to next timestep.
update-neuronclj
(update-neuron ctrnn neuron-id function & args)Return CTRNN with neuron of given id replaced by result from calling function with neuron as first argument + rest args.
Return CTRNN with neuron of given id replaced by result from calling function with neuron as first argument + rest args.
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