Dr. Pei

PyTorch implementation of DynapSE neural model

This repository trains a spiking neural network (SNN) classifier on the MNIST dataset using various spike encoding techniques. It explores different encoding schemes to convert images into spike trains and evaluates their impact on classification performance with the help of the SNNTorch module.

Data and Norse model for SNN bird classification

Visual Oscillators

This project showcases a beginner-friendly yet visually stunning digital clock that employs a neuromorphic design aesthetic.

A personal collection of documents usually describing cutting-edge technology and research

Classification of event data video

Building Sovereign AGI with Local LLM - Qwen/Qwen3.5-35B-A3B + DGX Spark GB10 + OpenClaw

Coherence-filtered adaptive time surface accumulator for event cameras, driven by inter-event-interval statistics. MATLAB implementation.

Flutter 3D Remote UI

[ICRA'25] Dataset of Steering Angle Prediction; Official Implementation of "Steering Prediction via a Multi-Sensor System for Autonomous Racing"

Neurocam is a cutting-edge surveillance system for the Raspberry Pi 4 powered by the Akida neuromorphic processor with ChatGPT 4 frame analysis

Review on temporal spiking motifs in neurobiological and neuromorphic data

Universal compute layer for next-gen AI chips

Mercy Cube v1.0 — Open, Real, Ready Stackable, 7-watt, offline Grok shard. 2025 physics, no hype.

Develop SNN-aware Noise Addition Layers

Neuromorphic ASIC with 96 neurons on Tiny Tapeout 7

Redis Controller for "Neuroarm" -- Neuromorphic robot

A Neuromorphic Cognitive AI Agent designed for autonomous thought, routine learning, and modular sensory interaction.