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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.py
  • casPYan/edge.py
  • casPYan/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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