Index

A

Adam (class in ml_genn.optimisers) AdaptiveLeakyIntegrateFire (class in ml_genn.neurons) add_additional_input_var() (ml_genn.utils.model.NeuronModel method) add_custom_update() (ml_genn.compilers.Compiler method) add_egp() (ml_genn.utils.model.Model method) add_egp_ref() (ml_genn.utils.model.CustomUpdateModel method) add_out_post_zero_custom_update() (ml_genn.compilers.Compiler method) add_param() (ml_genn.utils.model.Model method) add_post_neuron_var_ref() (ml_genn.utils.model.WeightUpdateModel method) add_pre_neuron_var_ref() (ml_genn.utils.model.WeightUpdateModel method) add_readout_logic() (ml_genn.readouts.AvgVar method) (ml_genn.readouts.AvgVarExpWeight method) (ml_genn.readouts.FirstSpikeTime method) (ml_genn.readouts.MaxVar method) (ml_genn.readouts.Readout method) (ml_genn.readouts.SpikeCount method) (ml_genn.readouts.SumVar method) (ml_genn.readouts.Var method) add_softmax_custom_updates() (ml_genn.compilers.Compiler method)

add_to_neuron() (ml_genn.losses.Loss method) (ml_genn.losses.MeanSquareError method) (ml_genn.losses.SparseCategoricalCrossentropy method) add_var() (ml_genn.utils.model.Model method) add_var_ref() (ml_genn.utils.model.CustomUpdateModel method) append_pre_event_syn_code() (ml_genn.utils.model.WeightUpdateModel method) append_pre_spike_syn_code() (ml_genn.utils.model.WeightUpdateModel method) append_reset_code() (ml_genn.utils.model.NeuronModel method) append_sim_code() (ml_genn.utils.model.NeuronModel method) append_synapse_dynamics() (ml_genn.utils.model.WeightUpdateModel method) append_update_code() (ml_genn.utils.model.CustomUpdateModel method) apply_delay() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EventPropCompiler method) (ml_genn.compilers.FewSpikeCompiler method) AvgPool2D (class in ml_genn.connectivity) AvgPoolConv2D (class in ml_genn.connectivity) AvgPoolDense2D (class in ml_genn.connectivity) AvgVar (class in ml_genn.readouts) AvgVarExpWeight (class in ml_genn.readouts)

B

barrier() (ml_genn.communicators.Communicator method) (ml_genn.communicators.MPI method) batch_dataset() (in module ml_genn.utils.data) batch_spikes() (in module ml_genn.utils.data) BatchProgressBar (class in ml_genn.callbacks) BinarySpikeInput (class in ml_genn.neurons) broadcast() (ml_genn.communicators.Communicator method) (ml_genn.communicators.MPI method) build_neuron_model() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EPropCompiler method) (ml_genn.compilers.EventPropCompiler method) (ml_genn.compilers.FewSpikeCompiler method) (ml_genn.compilers.InferenceCompiler method) (ml_genn_tf.converters.spike_norm.NormCompiler method)

build_synapse_model() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EPropCompiler method) (ml_genn.compilers.EventPropCompiler method) (ml_genn.compilers.FewSpikeCompiler method) (ml_genn.compilers.InferenceCompiler method) build_weight_update_model() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EPropCompiler method) (ml_genn.compilers.EventPropCompiler method)

C

calc_latest_spike_time() (in module ml_genn.utils.data) calc_max_spikes() (in module ml_genn.utils.data) calc_start_spikes() (in module ml_genn.utils.data) Callback (class in ml_genn.callbacks) CallbackList (class in ml_genn.utils.callback_list) Checkpoint (class in ml_genn.callbacks) Communicator (class in ml_genn.communicators) compile() (ml_genn.compilers.Compiler method) CompiledFewSpikeNetwork (class in ml_genn.compilers) CompiledInferenceNetwork (class in ml_genn.compilers) CompiledNetwork (class in ml_genn.compilers) CompiledTrainingNetwork (class in ml_genn.compilers) Compiler (class in ml_genn.compilers) connect() (ml_genn.connectivity.AvgPool2D method) (ml_genn.connectivity.AvgPoolConv2D method) (ml_genn.connectivity.AvgPoolDense2D method) (ml_genn.connectivity.Connectivity method) (ml_genn.connectivity.Conv2D method) (ml_genn.connectivity.Conv2DTranspose method) (ml_genn.connectivity.Dense method) (ml_genn.connectivity.FixedProbability method) (ml_genn.connectivity.OneToOne method) Connection (class in ml_genn) Connectivity (class in ml_genn.connectivity) ConnectivitySnippet (class in ml_genn.utils.snippet) ConnVarRecorder (class in ml_genn.callbacks) ConstantValueDescriptor (class in ml_genn.utils.snippet) Conv2D (class in ml_genn.connectivity) Conv2DTranspose (class in ml_genn.connectivity) convert() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) Converter (class in ml_genn_tf.converters) (class in ml_genn_tf.converters.converter) create_compiled_network() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EPropCompiler method) (ml_genn.compilers.EventPropCompiler method) (ml_genn.compilers.FewSpikeCompiler method) (ml_genn.compilers.InferenceCompiler method) (ml_genn_tf.converters.spike_norm.NormCompiler method)

create_compiler() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) (ml_genn_tf.converters.data_norm.DataNorm method) (ml_genn_tf.converters.DataNorm method) (ml_genn_tf.converters.few_spike.FewSpike method) (ml_genn_tf.converters.FewSpike method) (ml_genn_tf.converters.Simple method) (ml_genn_tf.converters.simple.Simple method) create_input_neurons() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) (ml_genn_tf.converters.data_norm.DataNorm method) (ml_genn_tf.converters.DataNorm method) (ml_genn_tf.converters.few_spike.FewSpike method) (ml_genn_tf.converters.FewSpike method) (ml_genn_tf.converters.Simple method) (ml_genn_tf.converters.simple.Simple method) create_neurons() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) (ml_genn_tf.converters.data_norm.DataNorm method) (ml_genn_tf.converters.DataNorm method) (ml_genn_tf.converters.few_spike.FewSpike method) (ml_genn_tf.converters.FewSpike method) (ml_genn_tf.converters.Simple method) (ml_genn_tf.converters.simple.Simple method) custom_update() (ml_genn.compilers.CompiledNetwork method) CustomUpdateModel (class in ml_genn.utils.model) CustomUpdateOnBatchBegin (class in ml_genn.callbacks) CustomUpdateOnBatchEnd (class in ml_genn.callbacks) CustomUpdateOnTimestepBegin (class in ml_genn.callbacks) CustomUpdateOnTimestepEnd (class in ml_genn.callbacks)

D

DataNorm (class in ml_genn_tf.converters) (class in ml_genn_tf.converters.data_norm) delay (ml_genn.utils.snippet.ConnectivitySnippet attribute) Delta (class in ml_genn.synapses)

Dense (class in ml_genn.connectivity) deserialise() (ml_genn.serialisers.Numpy method) (ml_genn.serialisers.Serialiser method) deserialise_all() (ml_genn.serialisers.Numpy method) (ml_genn.serialisers.Serialiser method)

E

egp_vals (ml_genn.utils.snippet.InitializerSnippet attribute) end_spikes (ml_genn.utils.data.PreprocessedSpikes attribute) EPropCompiler (class in ml_genn.compilers) evaluate() (ml_genn.compilers.CompiledFewSpikeNetwork method) (ml_genn.compilers.CompiledInferenceNetwork method)

evaluate_batch() (ml_genn.compilers.CompiledInferenceNetwork method) evaluate_batch_iter() (ml_genn.compilers.CompiledFewSpikeNetwork method) (ml_genn.compilers.CompiledInferenceNetwork method) EventPropCompiler (class in ml_genn.compilers) ExampleFilter (class in ml_genn.utils.filter) Exponential (class in ml_genn.synapses)

F

FewSpike (class in ml_genn_tf.converters) (class in ml_genn_tf.converters.few_spike) FewSpikeCompiler (class in ml_genn.compilers) FewSpikeRelu (class in ml_genn.neurons)

FewSpikeReluInput (class in ml_genn.neurons) FirstSpikeTime (class in ml_genn.readouts) FixedProbability (class in ml_genn.connectivity) from_val_descriptors() (ml_genn.utils.model.NeuronModel static method) (ml_genn.utils.model.SynapseModel static method)

G

generate_yin_yang_dataset() (in module ml_genn.utils.data) get_batch_mask() (ml_genn.utils.filter.ExampleFilter method) get_conv_same_padding() (in module ml_genn.utils.connectivity) get_data() (ml_genn.callbacks.ConnVarRecorder method) (ml_genn.callbacks.SpikeRecorder method) (ml_genn.callbacks.VarRecorder method) (ml_genn.utils.callback_list.CallbackList method) get_dataset_size() (in module ml_genn.utils.data) get_default_params() (ml_genn.Network static method) get_genn_var_name() (in module ml_genn.utils.value) get_model() (ml_genn.neurons.AdaptiveLeakyIntegrateFire method) (ml_genn.neurons.BinarySpikeInput method) (ml_genn.neurons.FewSpikeRelu method) (ml_genn.neurons.FewSpikeReluInput method) (ml_genn.neurons.IntegrateFire method) (ml_genn.neurons.IntegrateFireInput method) (ml_genn.neurons.LeakyIntegrate method) (ml_genn.neurons.LeakyIntegrateFire method) (ml_genn.neurons.LeakyIntegrateFireInput method) (ml_genn.neurons.Neuron method) (ml_genn.neurons.PoissonInput method) (ml_genn.neurons.SpikeInput method) (ml_genn.optimisers.Adam method) (ml_genn.optimisers.Optimiser method) (ml_genn.synapses.Delta method) (ml_genn.synapses.Exponential method) (ml_genn.synapses.Synapse method) get_module_classes() (in module ml_genn.utils.module) get_network_dag() (in module ml_genn.utils.network) get_neuron_filter_mask() (in module ml_genn.utils.filter) get_object() (in module ml_genn.utils.module)

get_object_mapping() (in module ml_genn.utils.module) get_param_2d() (in module ml_genn.utils.connectivity) get_prev_layer() (ml_genn.SequentialNetwork static method) get_readout() (ml_genn.compilers.CompiledNetwork method) (ml_genn.neurons.Neuron method) (ml_genn.readouts.AvgVar method) (ml_genn.readouts.AvgVarExpWeight method) (ml_genn.readouts.FirstSpikeTime method) (ml_genn.readouts.MaxVar method) (ml_genn.readouts.Readout method) (ml_genn.readouts.SpikeCount method) (ml_genn.readouts.SumVar method) (ml_genn.readouts.Var method) get_snippet() (ml_genn.connectivity.AvgPool2D method) (ml_genn.connectivity.AvgPoolConv2D method) (ml_genn.connectivity.AvgPoolDense2D method) (ml_genn.connectivity.Connectivity method) (ml_genn.connectivity.Conv2D method) (ml_genn.connectivity.Conv2DTranspose method) (ml_genn.connectivity.Dense method) (ml_genn.connectivity.FixedProbability method) (ml_genn.connectivity.OneToOne method) (ml_genn.initializers.Initializer method) (ml_genn.initializers.Normal method) (ml_genn.initializers.Uniform method) (ml_genn.initializers.Wrapper method) (ml_genn.utils.connectivity.KernelInit method) get_transformed() (ml_genn.utils.value.ValueDescriptor method) get_underlying_conn() (in module ml_genn.utils.network) get_underlying_pop() (in module ml_genn.utils.network) get_values() (in module ml_genn.utils.value)

H

has_egp() (ml_genn.utils.model.Model method) has_egp_ref() (ml_genn.utils.model.CustomUpdateModel method)

has_param() (ml_genn.utils.model.Model method) has_var() (ml_genn.utils.model.Model method) has_var_ref() (ml_genn.utils.model.CustomUpdateModel method)

I

IF (ml_genn_tf.converters.enum.InputType attribute) (ml_genn_tf.converters.InputType attribute) incoming_connections (ml_genn.Population property) InferenceCompiler (class in ml_genn.compilers) Initializer (class in ml_genn.initializers) InitializerSnippet (class in ml_genn.utils.snippet) Input (class in ml_genn.neurons) input_alpha (ml_genn_tf.converters.few_spike.PreConvertOutput attribute)

InputLayer (class in ml_genn) InputType (class in ml_genn_tf.converters) (class in ml_genn_tf.converters.enum) IntegrateFire (class in ml_genn.neurons) IntegrateFireInput (class in ml_genn.neurons) is_value_array() (in module ml_genn.utils.value) is_value_constant() (in module ml_genn.utils.value) is_value_initializer() (in module ml_genn.utils.value)

K

KernelInit (class in ml_genn.utils.connectivity)

L

Layer (class in ml_genn) layer_alpha (ml_genn_tf.converters.few_spike.PreConvertOutput attribute) LeakyIntegrate (class in ml_genn.neurons) LeakyIntegrateFire (class in ml_genn.neurons)

LeakyIntegrateFireInput (class in ml_genn.neurons) linear_latency_encode_data() (in module ml_genn.utils.data) load() (ml_genn.Network method) log_latency_encode_data() (in module ml_genn.utils.data) Loss (class in ml_genn.losses)

M

make_param_var() (ml_genn.utils.model.Model method) matrix_type (ml_genn.utils.snippet.ConnectivitySnippet attribute) MaxVar (class in ml_genn.readouts) MeanSquareError (class in ml_genn.losses) (class in ml_genn.metrics) Metric (class in ml_genn.metrics) ml_genn module ml_genn.callbacks module ml_genn.communicators module ml_genn.compilers module ml_genn.connectivity module ml_genn.initializers module ml_genn.losses module ml_genn.metrics module ml_genn.neurons module ml_genn.optimisers module ml_genn.readouts module ml_genn.serialisers module ml_genn.synapses module ml_genn.utils module ml_genn.utils.callback_list module ml_genn.utils.connectivity module ml_genn.utils.data module ml_genn.utils.decorators module ml_genn.utils.filter module ml_genn.utils.model module ml_genn.utils.module module ml_genn.utils.network module ml_genn.utils.snippet module

ml_genn.utils.value module ml_genn_tf module ml_genn_tf.converters module ml_genn_tf.converters.converter module ml_genn_tf.converters.data_norm module ml_genn_tf.converters.enum module ml_genn_tf.converters.few_spike module ml_genn_tf.converters.simple module ml_genn_tf.converters.spike_norm module Model (class in ml_genn.utils.model) module ml_genn ml_genn.callbacks ml_genn.communicators ml_genn.compilers ml_genn.connectivity ml_genn.initializers ml_genn.losses ml_genn.metrics ml_genn.neurons ml_genn.optimisers ml_genn.readouts ml_genn.serialisers ml_genn.synapses ml_genn.utils ml_genn.utils.callback_list ml_genn.utils.connectivity ml_genn.utils.data ml_genn.utils.decorators ml_genn.utils.filter ml_genn.utils.model ml_genn.utils.module ml_genn.utils.network ml_genn.utils.snippet ml_genn.utils.value ml_genn_tf ml_genn_tf.converters ml_genn_tf.converters.converter ml_genn_tf.converters.data_norm ml_genn_tf.converters.enum ml_genn_tf.converters.few_spike ml_genn_tf.converters.simple ml_genn_tf.converters.spike_norm MPI (class in ml_genn.communicators)

N

Network (class in ml_genn) network_default_params() (in module ml_genn.utils.decorators) Neuron (class in ml_genn.neurons) neuron (ml_genn.Population property) NeuronModel (class in ml_genn.utils.model)

Normal (class in ml_genn.initializers) NormCompiler (class in ml_genn_tf.converters.spike_norm) num_ranks (ml_genn.communicators.Communicator property) (ml_genn.communicators.MPI property) Numpy (class in ml_genn.serialisers)

O

on_batch_begin() (ml_genn.callbacks.ConnVarRecorder method) (ml_genn.callbacks.CustomUpdateOnBatchBegin method) (ml_genn.callbacks.SpikeRecorder method) (ml_genn.callbacks.VarRecorder method) (ml_genn.utils.callback_list.CallbackList method) on_batch_end() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.callbacks.CustomUpdateOnBatchEnd method) (ml_genn.utils.callback_list.CallbackList method) on_epoch_begin() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.callbacks.OptimiserParamSchedule method) (ml_genn.utils.callback_list.CallbackList method) on_epoch_end() (ml_genn.callbacks.Checkpoint method) (ml_genn.utils.callback_list.CallbackList method) on_test_begin() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.utils.callback_list.CallbackList method) on_test_end() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.utils.callback_list.CallbackList method)

on_timestep_begin() (ml_genn.callbacks.CustomUpdateOnTimestepBegin method) (ml_genn.utils.callback_list.CallbackList method) on_timestep_end() (ml_genn.callbacks.ConnVarRecorder method) (ml_genn.callbacks.CustomUpdateOnTimestepEnd method) (ml_genn.callbacks.SpikeRecorder method) (ml_genn.callbacks.VarRecorder method) (ml_genn.utils.callback_list.CallbackList method) on_train_begin() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.utils.callback_list.CallbackList method) on_train_end() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.utils.callback_list.CallbackList method) OneToOne (class in ml_genn.connectivity) Optimiser (class in ml_genn.optimisers) OptimiserParamSchedule (class in ml_genn.callbacks) outgoing_connections (ml_genn.Population property) output_var (ml_genn.utils.model.NeuronModel property)

P

PadMode (class in ml_genn.utils.connectivity) param_vals (ml_genn.utils.snippet.InitializerSnippet attribute) permute_dataset() (in module ml_genn.utils.data) pipelined (ml_genn.neurons.FewSpikeRelu attribute) POISSON (ml_genn_tf.converters.enum.InputType attribute) (ml_genn_tf.converters.InputType attribute) PoissonInput (class in ml_genn.neurons) Population (class in ml_genn) post_convert() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) (ml_genn_tf.converters.few_spike.FewSpike method) (ml_genn_tf.converters.FewSpike method) post_ind (ml_genn.utils.snippet.ConnectivitySnippet attribute) pre_compile() (ml_genn.compilers.Compiler method) (ml_genn.compilers.EPropCompiler method) (ml_genn.compilers.EventPropCompiler method) (ml_genn.compilers.FewSpikeCompiler method) (ml_genn.compilers.InferenceCompiler method) (ml_genn_tf.converters.Simple method) (ml_genn_tf.converters.simple.Simple method)

pre_convert() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method) (ml_genn_tf.converters.data_norm.DataNorm method) (ml_genn_tf.converters.DataNorm method) (ml_genn_tf.converters.few_spike.FewSpike method) (ml_genn_tf.converters.FewSpike method) (ml_genn_tf.converters.Simple method) (ml_genn_tf.converters.simple.Simple method) pre_ind (ml_genn.utils.snippet.ConnectivitySnippet attribute) PreConvertOutput (class in ml_genn_tf.converters.data_norm) (class in ml_genn_tf.converters.few_spike) predict() (ml_genn.compilers.CompiledInferenceNetwork method) prepend_reset_code() (ml_genn.utils.model.NeuronModel method) prepend_sim_code() (ml_genn.utils.model.NeuronModel method) preprocess_spikes() (in module ml_genn.utils.data) preprocess_tonic_spikes() (in module ml_genn.utils.data) PreprocessedSpikes (class in ml_genn.utils.data) process() (ml_genn.utils.model.CustomUpdateModel method) (ml_genn.utils.model.Model method) (ml_genn.utils.model.SynapseModel method) (ml_genn.utils.model.WeightUpdateModel method)

R

rank (ml_genn.communicators.Communicator property) (ml_genn.communicators.MPI property) Readout (class in ml_genn.readouts) readout (ml_genn.neurons.Neuron property) reduce_sum() (ml_genn.communicators.Communicator method) (ml_genn.communicators.MPI method) regulariser_enabled (ml_genn.compilers.EventPropCompiler property) replace_reset_code() (ml_genn.utils.model.NeuronModel method) replace_sim_code() (ml_genn.utils.model.NeuronModel method) replace_threshold_condition_code() (ml_genn.utils.model.NeuronModel method) reset() (ml_genn.metrics.MeanSquareError method) (ml_genn.metrics.Metric method) (ml_genn.metrics.SparseCategoricalAccuracy method)

reset_post_vars (ml_genn.utils.model.WeightUpdateModel property) reset_pre_vars (ml_genn.utils.model.WeightUpdateModel property) reset_time() (ml_genn.compilers.CompiledNetwork method) reset_vars (ml_genn.readouts.AvgVar property) (ml_genn.readouts.AvgVarExpWeight property) (ml_genn.readouts.FirstSpikeTime property) (ml_genn.readouts.MaxVar property) (ml_genn.readouts.Readout property) (ml_genn.readouts.SpikeCount property) (ml_genn.readouts.SumVar property) (ml_genn.utils.model.Model property) result (ml_genn.metrics.MeanSquareError property) (ml_genn.metrics.Metric property) (ml_genn.metrics.SparseCategoricalAccuracy property)

S

SAME (ml_genn.utils.connectivity.PadMode attribute) save() (ml_genn.compilers.CompiledTrainingNetwork method) save_connectivity() (ml_genn.compilers.CompiledTrainingNetwork method) SequentialNetwork (class in ml_genn) serialise() (ml_genn.serialisers.Numpy method) (ml_genn.serialisers.Serialiser method) Serialiser (class in ml_genn.serialisers) set_first() (ml_genn.callbacks.SpikeRecorder method) set_input() (ml_genn.compilers.CompiledNetwork method) (ml_genn.neurons.Input method) (ml_genn.neurons.SpikeInput method) set_param_dynamic() (ml_genn.utils.model.Model method) set_params() (ml_genn.callbacks.BatchProgressBar method) (ml_genn.callbacks.Checkpoint method) (ml_genn.callbacks.ConnVarRecorder method) (ml_genn.callbacks.OptimiserParamSchedule method) (ml_genn.callbacks.SpikeRecorder method) (ml_genn.callbacks.VarRecorder method) set_step() (ml_genn.optimisers.Adam method) (ml_genn.optimisers.Optimiser method) set_target() (ml_genn.losses.Loss method) (ml_genn.losses.MeanSquareError method) (ml_genn.losses.SparseCategoricalCrossentropy method)

set_values() (in module ml_genn.utils.value) set_var_access_mode() (ml_genn.utils.model.Model method) set_var_ref_access_mode() (ml_genn.utils.model.CustomUpdateModel method) Simple (class in ml_genn_tf.converters) (class in ml_genn_tf.converters.simple) snippet (ml_genn.utils.snippet.ConnectivitySnippet attribute) (ml_genn.utils.snippet.InitializerSnippet attribute) source (ml_genn.Connection property) SparseCategoricalAccuracy (class in ml_genn.metrics) SparseCategoricalCrossentropy (class in ml_genn.losses) SPIKE (ml_genn_tf.converters.enum.InputType attribute) (ml_genn_tf.converters.InputType attribute) spike_normalise() (in module ml_genn_tf.converters.spike_norm) spike_times (ml_genn.utils.data.PreprocessedSpikes attribute) SpikeCount (class in ml_genn.readouts) SpikeInput (class in ml_genn.neurons) SpikeRecorder (class in ml_genn.callbacks) split_dataset() (in module ml_genn.utils.data) step_time() (ml_genn.compilers.CompiledNetwork method) SumVar (class in ml_genn.readouts) Synapse (class in ml_genn.synapses) SynapseModel (class in ml_genn.utils.model)

T

target (ml_genn.Connection property) thresholds (ml_genn_tf.converters.data_norm.PreConvertOutput attribute)

train() (ml_genn.compilers.CompiledTrainingNetwork method) trainable (ml_genn.utils.snippet.ConnectivitySnippet attribute)

U

Uniform (class in ml_genn.initializers) update() (ml_genn.metrics.MeanSquareError method) (ml_genn.metrics.Metric method) (ml_genn.metrics.SparseCategoricalAccuracy method)

update_target_shape() (in module ml_genn.utils.connectivity)

V

VALID (ml_genn.utils.connectivity.PadMode attribute) validate_tf_layer() (ml_genn_tf.converters.Converter method) (ml_genn_tf.converters.converter.Converter method)

ValueDescriptor (class in ml_genn.utils.value) Var (class in ml_genn.readouts) VarRecorder (class in ml_genn.callbacks)

W

weight (ml_genn.utils.snippet.ConnectivitySnippet attribute)

WeightUpdateModel (class in ml_genn.utils.model) Wrapper (class in ml_genn.initializers)