minimal Python implementation of Caspian SNN processor
Project description
casPYan
A Python implementation of the Caspian SNN processor simulator.
Installation
pip install caspyan
Usage
import casPYan
Loading a Caspian network
# load a network from a json file
import json
with open("network.json") as f:
network = json.load(f)
# Create a processor and load the network into it
processor = casPYan.Processor()
processor.load_network(network)
Setting up Encoders and Decoders
import casPYan.ende.rate as ende
# Create encoder and decoder arrays
encoders = [
ende.RateEncoder(interval=10, domain=[0.0, 1.0])
for _ in processor.inputs
]
decoders = [
ende.RateDecoder(interval=10, domain=[0.0, 1.0])
for _ in processor.outputs
]
Running a Caspian processor
input_vector = [0.5, 1.0]
# encode to spikes
spikes = [enc.get_spikes(x) for enc, x in zip(encoders, input_vector)]
# apply spikes
processor.apply_spikes(spikes)
# run processor for 10 ticks
processor.run(10)
# decode spikes to floats
data = [dec.decode(node.history) for dec, node in zip(decoders, processor.outputs)]
Saving a Caspian network
network = processor.to_tennlab()
with open("network.json", "w") as f:
json.dump(network, f)
Creating a Caspian network from scratch
The low-level representation of a Caspian network is a list of nodes, along with a list of inputs and outputs that reference those nodes.
nodes = []
nodes.append(casPYan.Node(threshold=0.5, delay=0.0, leak=0.0))
nodes.append(casPYan.Node(threshold=1.0, delay=0.0, leak=0.0))
inputs = [nodes[0]]
outputs = [nodes[1]]
casPYan.connect(nodes[0], nodes[1], weight=0.5, delay=0)
casPYan.run(nodes, 10)
spikes = [node.history for node in outputs]
# saving and loading node representations
json_dict = casPYan.to_tennlab(nodes, inputs, outputs)
# json_dict is a Python dict that can be saved to a json file
# It is similar to what is loaded by casPYan.network_from_json
nodes, inputs, outputs = casPYan.network_from_json(json_dict)
See the following files for more low-level functions:
casPYan/node.pycasPYan/edge.pycasPYan/network.py
Disclaimer
This software does not guarantee the correctness of the simulation in relation to the original Caspian SNN simulator, Caspian processors, or any other software.
casPYan is not a substitute for the original software, and it is not supported by the original authors.
It should not be thought of as a port.
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