PySNN Documentation
Index
Index
A
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B
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C
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D
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E
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F
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I
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L
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M
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N
|
O
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P
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R
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S
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T
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U
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X
A
activation_potential() (pysnn.connection.Conv2d method)
(pysnn.connection.Linear method)
AdaptiveLIFNeuron (class in pysnn.neuron)
AdaptiveMaxPool2d (class in pysnn.connection)
add_layer() (pysnn.network.SNNNetwork method)
AND (class in pysnn.datasets)
B
BaseInput (class in pysnn.neuron)
BaseNeuron (class in pysnn.neuron)
Boolean (class in pysnn.datasets)
BooleanNoise (class in pysnn.datasets)
C
check_layers() (pysnn.learning.LearningRule method)
concat_trace() (pysnn.neuron.BaseNeuron method)
Connection (class in pysnn.connection)
Conv2d (class in pysnn.connection)
conv2d_output_shape() (in module pysnn.utils)
convert_input() (pysnn.neuron.BaseInput method)
convert_spikes() (pysnn.connection.Connection method)
(pysnn.neuron.BaseNeuron method)
D
DiscretizeFloat (class in pysnn.datasets)
E
encode_1d_num_spikes() (in module pysnn.file_io)
encode_1d_spikes() (in module pysnn.file_io)
encode_2d_spikes() (in module pysnn.file_io)
encode_3d_spikes() (in module pysnn.file_io)
Events (class in pysnn.file_io)
exponential_thresh_update() (in module pysnn.functional)
exponential_trace_update() (in module pysnn.functional)
F
fede_voltage_update() (in module pysnn.functional)
FedeNeuron (class in pysnn.neuron)
FedeSTDP (class in pysnn.learning)
fold() (pysnn.neuron.BaseNeuron method)
forward() (pysnn.connection.AdaptiveMaxPool2d method)
(pysnn.connection.Conv2d method)
(pysnn.connection.Linear method)
(pysnn.connection.MaxPool2d method)
(pysnn.neuron.AdaptiveLIFNeuron method)
(pysnn.neuron.BaseInput method)
(pysnn.neuron.BaseNeuron method)
(pysnn.neuron.FedeNeuron method)
(pysnn.neuron.IFNeuron method)
(pysnn.neuron.Input method)
(pysnn.neuron.LIFNeuron method)
I
if_voltage_update() (in module pysnn.functional)
IFNeuron (class in pysnn.neuron)
init_connection() (pysnn.connection.Connection method)
init_neuron() (pysnn.neuron.BaseInput method)
(pysnn.neuron.BaseNeuron method)
Input (class in pysnn.neuron)
Intensity (class in pysnn.datasets)
interspike_time() (in module pysnn.utils)
L
layer_state_dict() (pysnn.network.SNNNetwork method)
LearningRule (class in pysnn.learning)
lif_exponential_voltage_update() (in module pysnn.functional)
lif_linear_voltage_update() (in module pysnn.functional)
LIFNeuron (class in pysnn.neuron)
Linear (class in pysnn.connection)
linear_thresh_update() (in module pysnn.functional)
linear_trace_update() (in module pysnn.functional)
M
MaxPool2d (class in pysnn.connection)
MSTDPET (class in pysnn.learning)
N
ncaltech_train_test() (in module pysnn.datasets)
ncars_train_test() (in module pysnn.datasets)
NeuromorphicDataset (class in pysnn.datasets)
nmnist_train_test() (in module pysnn.datasets)
no_grad() (pysnn.connection.Connection method)
(pysnn.neuron.BaseInput method)
(pysnn.neuron.BaseNeuron method)
O
OR (class in pysnn.datasets)
P
poisson_encoding() (in module pysnn.encoding)
PoissonEncoder (class in pysnn.encoding)
pre_mult_post() (pysnn.learning.LearningRule method)
propagate_spike() (pysnn.connection.Connection method)
pysnn.connection (module)
pysnn.datasets (module)
pysnn.encoding (module)
pysnn.file_io (module)
pysnn.functional (module)
pysnn.learning (module)
pysnn.network (module)
pysnn.neuron (module)
pysnn.utils (module)
R
read_1d_num_spikes() (in module pysnn.file_io)
read_1d_spikes() (in module pysnn.file_io)
read_2d_spikes() (in module pysnn.file_io)
read_3d_spikes() (in module pysnn.file_io)
reduce_connections() (pysnn.learning.LearningRule method)
refrac() (pysnn.neuron.BaseNeuron method)
reset_state() (pysnn.connection.Connection method)
(pysnn.learning.LearningRule method)
(pysnn.learning.MSTDPET method)
(pysnn.network.SNNNetwork method)
(pysnn.neuron.AdaptiveLIFNeuron method)
(pysnn.neuron.BaseInput method)
(pysnn.neuron.BaseNeuron method)
reset_thresh() (pysnn.neuron.BaseNeuron method)
reset_weights() (pysnn.connection.Connection method)
S
show_td() (in module pysnn.file_io)
SNNNetwork (class in pysnn.network)
spike_array_to_events() (in module pysnn.file_io)
spiking() (pysnn.neuron.BaseNeuron method)
step() (pysnn.learning.FedeSTDP method)
(pysnn.learning.LearningRule method)
(pysnn.learning.MSTDPET method)
T
tensor_clamp() (in module pysnn.utils)
to_spike_array() (pysnn.file_io.Events method)
to_spike_tensor() (pysnn.file_io.Events method)
train_test() (in module pysnn.datasets)
U
unfold() (pysnn.neuron.BaseNeuron method)
update_state() (pysnn.learning.LearningRule method)
(pysnn.learning.MSTDPET method)
update_thresh() (pysnn.neuron.AdaptiveLIFNeuron method)
update_trace() (pysnn.neuron.AdaptiveLIFNeuron method)
(pysnn.neuron.BaseInput method)
(pysnn.neuron.BaseNeuron method)
(pysnn.neuron.FedeNeuron method)
(pysnn.neuron.IFNeuron method)
(pysnn.neuron.Input method)
(pysnn.neuron.LIFNeuron method)
update_voltage() (pysnn.neuron.AdaptiveLIFNeuron method)
(pysnn.neuron.BaseNeuron method)
(pysnn.neuron.FedeNeuron method)
(pysnn.neuron.IFNeuron method)
(pysnn.neuron.LIFNeuron method)
X
XOR (class in pysnn.datasets)
Usage:
Installation
Quickstart
Neurons
Connections
Learning Rules
Networks
Package Reference:
pysnn.connection
pysnn.neuron
pysnn.network
pysnn.file_io
pysnn.functional
pysnn.encoding
pysnn.datasets
pysnn.learning
pysnn.utils