# Shikhargupta/Spiking-Neural-Network

Pure python implementation of SNN

Repository: https://github.com/Shikhargupta/Spiking-Neural-Network
Canonical: https://ross.abutalabs.com/products/spiking-neural-network
Language: Python
License: Apache-2.0
License Family: permissive
Topics: neuromorphic-hardware, neuromorphic, spiking-neural-networks, neural-network, spike-time-dependent-plasticity, python, synapse, mnist-classification, spike-trains
Last push: 2022-07-29T05:45:51+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3643, "days_push": 1496, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1210, forks 297 (observed 2026-08-28T04:04:00.091842+00:00)

## What it is
A pure Python implementation of a hardware-efficient spiking neural network (SNN) trained with Spike-Time Dependent Plasticity (STDP). It includes neuron, synapse, receptive field, and spike train components plus a winner-takes-all classification simulator demonstrated on MNIST.

## Use cases
- simulate spiking neural networks in python
- learn STDP-based unsupervised weight learning
- classify MNIST digits with a spiking network
- prototype on-chip neuromorphic learning algorithms
- understand spike trains and receptive fields
- experiment with energy-efficient neural network learning

## When to choose
- you want a simple, readable pure-Python SNN simulator for learning or teaching
- you are exploring STDP and neuromorphic computing concepts
- you need a lightweight educational baseline before using a full simulator like Brian2 or Norse

## When to avoid
- you need high performance or GPU acceleration
- you require production-grade deep learning training pipelines
- you need actively maintained code with broad community support

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, simulation
- domain: machine-learning, deep-learning
- platform: python, cross-platform
- tags: spiking-neural-networks, stdp, neuromorphic-computing, mnist, pure-python, neuromorphic

## Member repositories
- Shikhargupta/Spiking-Neural-Network (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.091842+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:09.451475+00:00, confidence not recorded.
  - readme: https://github.com/Shikhargupta/Spiking-Neural-Network (fetched 2026-08-28T04:04:00.091842+00:00, sha 1e4ad6bd0132)
- Data as of 2026-08-30T08:39:29.467469+00:00.