danielvg92 / Spikes

A Spiking Neural Network framework with SNNML parser written in Python

Spike Encoders

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Spike encoders for Spiking Neural Network.

This package consists of two types of spike encoders for spatio-temporal data:

1. Threshold Based Representation (TBR) encoder
2. Bens Spiker Algorithm (BSA) encoder

• Data
• Instillation
• Example
• Contribution
• Issues

Data

The data given to the encoders are spatio-temporal. Each sample is one csv file. In each file, every column is a feature and the rows are time points.

For example each file given in the Data folder had 128 rows and 14 columns, 14 columns are the features and 128 columns are the data points.

Instillation

pip install pyspikes

Example

from spikes import encoder
from spikes.utility import ReadCSV

data = ReadCSV('Data').get_samples()['samples']

bsa = encoder.BSA(data)
print(bsa.get_spikes())

tbr = encoder.TBR(data)
print(tbr.get_spikes())

Contribution

All contributions are welcome.

Issues

Issues can be opened through Github's Issues tab.