Index

A

AbstractConnection (class in cnsproject.network.connections) AbstractDecision (class in cnsproject.decision.decision) AbstractEncoder (class in cnsproject.encoding.encoders) AbstractReward (class in cnsproject.learning.rewards)

add_connection() (cnsproject.network.network.Network method) add_layer() (cnsproject.network.network.Network method) add_monitor() (cnsproject.network.network.Network method) AELIFPopulation (class in cnsproject.network.neural_populations)

C

cnsproject module cnsproject.decision module cnsproject.decision.decision module cnsproject.encoding module cnsproject.encoding.encoders module cnsproject.learning module cnsproject.learning.learning_rules module cnsproject.learning.rewards module cnsproject.network module cnsproject.network.connections module cnsproject.network.monitors module cnsproject.network.network module cnsproject.network.neural_populations module

cnsproject.plotting module cnsproject.plotting.plotting module cnsproject.utils module compute() (cnsproject.decision.decision.AbstractDecision method) (cnsproject.decision.decision.WinnerTakeAllDecision method) (cnsproject.learning.rewards.AbstractReward method) (cnsproject.network.connections.AbstractConnection method) (cnsproject.network.connections.ConvolutionalConnection method) (cnsproject.network.connections.DenseConnection method) (cnsproject.network.connections.PoolingConnection method) (cnsproject.network.connections.RandomConnection method) compute_decay() (cnsproject.network.neural_populations.AELIFPopulation method) (cnsproject.network.neural_populations.ELIFPopulation method) (cnsproject.network.neural_populations.LIFPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method) compute_potential() (cnsproject.network.neural_populations.AELIFPopulation method) (cnsproject.network.neural_populations.ELIFPopulation method) (cnsproject.network.neural_populations.LIFPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method) compute_spike() (cnsproject.network.neural_populations.AELIFPopulation method) (cnsproject.network.neural_populations.ELIFPopulation method) (cnsproject.network.neural_populations.LIFPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method) ConvolutionalConnection (class in cnsproject.network.connections)

D

DenseConnection (class in cnsproject.network.connections)

E

ELIFPopulation (class in cnsproject.network.neural_populations)

F

FlatRSTDP (class in cnsproject.learning.learning_rules) FlatSTDP (class in cnsproject.learning.learning_rules) forward() (cnsproject.network.neural_populations.AELIFPopulation method) (cnsproject.network.neural_populations.ELIFPopulation method) (cnsproject.network.neural_populations.InputPopulation method) (cnsproject.network.neural_populations.LIFPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method)

G

get() (cnsproject.network.monitors.Monitor method)

I

InputPopulation (class in cnsproject.network.neural_populations)

L

LearningRule (class in cnsproject.learning.learning_rules)

LIFPopulation (class in cnsproject.network.neural_populations)

M

module cnsproject cnsproject.decision cnsproject.decision.decision cnsproject.encoding cnsproject.encoding.encoders cnsproject.learning cnsproject.learning.learning_rules cnsproject.learning.rewards cnsproject.network cnsproject.network.connections cnsproject.network.monitors cnsproject.network.network cnsproject.network.neural_populations cnsproject.plotting cnsproject.plotting.plotting cnsproject.utils

Monitor (class in cnsproject.network.monitors)

N

Network (class in cnsproject.network.network)

NeuralPopulation (class in cnsproject.network.neural_populations) NoOp (class in cnsproject.learning.learning_rules)

P

PoissonEncoder (class in cnsproject.encoding.encoders)

PoolingConnection (class in cnsproject.network.connections) PositionEncoder (class in cnsproject.encoding.encoders)

R

RandomConnection (class in cnsproject.network.connections) record() (cnsproject.network.monitors.Monitor method) refractory_and_reset() (cnsproject.network.neural_populations.AELIFPopulation method) (cnsproject.network.neural_populations.ELIFPopulation method) (cnsproject.network.neural_populations.LIFPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method) reset_state_variables() (cnsproject.network.connections.AbstractConnection method) (cnsproject.network.connections.ConvolutionalConnection method) (cnsproject.network.connections.DenseConnection method) (cnsproject.network.connections.PoolingConnection method) (cnsproject.network.connections.RandomConnection method) (cnsproject.network.monitors.Monitor method) (cnsproject.network.network.Network method) (cnsproject.network.neural_populations.InputPopulation method) (cnsproject.network.neural_populations.NeuralPopulation method)

RSTDP (class in cnsproject.learning.learning_rules) run() (cnsproject.network.network.Network method)

S

set_time_steps() (cnsproject.network.monitors.Monitor method)

STDP (class in cnsproject.learning.learning_rules)

T

Time2FirstSpikeEncoder (class in cnsproject.encoding.encoders) train() (cnsproject.network.network.Network method) (cnsproject.network.neural_populations.NeuralPopulation method) training (cnsproject.network.connections.AbstractConnection attribute) (cnsproject.network.connections.ConvolutionalConnection attribute) (cnsproject.network.connections.DenseConnection attribute) (cnsproject.network.connections.PoolingConnection attribute) (cnsproject.network.connections.RandomConnection attribute) (cnsproject.network.network.Network attribute) (cnsproject.network.neural_populations.AELIFPopulation attribute) (cnsproject.network.neural_populations.ELIFPopulation attribute) (cnsproject.network.neural_populations.InputPopulation attribute) (cnsproject.network.neural_populations.LIFPopulation attribute) (cnsproject.network.neural_populations.NeuralPopulation attribute)

U

update() (cnsproject.decision.decision.AbstractDecision method) (cnsproject.decision.decision.WinnerTakeAllDecision method) (cnsproject.learning.learning_rules.FlatRSTDP method) (cnsproject.learning.learning_rules.FlatSTDP method) (cnsproject.learning.learning_rules.LearningRule method) (cnsproject.learning.learning_rules.NoOp method) (cnsproject.learning.learning_rules.RSTDP method) (cnsproject.learning.learning_rules.STDP method) (cnsproject.learning.rewards.AbstractReward method) (cnsproject.network.connections.AbstractConnection method) (cnsproject.network.connections.ConvolutionalConnection method) (cnsproject.network.connections.DenseConnection method) (cnsproject.network.connections.PoolingConnection method) (cnsproject.network.connections.RandomConnection method)

W

WinnerTakeAllDecision (class in cnsproject.decision.decision)