Neuromorphic ASIC with 96 neurons on Tiny Tapeout 7

Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024)

A repository for the project of creating a simple neural network by the use of coupled Josephson junctions acting as neurons

A human-machine created programming language for neuromorphic engineering.

An open-source library designed for the evaluation of Spiking Neural Networks (SNNs).

Config files for my GitHub profile.

Fast model for large arrays of solid-state stochastic synapses

A software-based neuromorphic computing engine

Accelerated SNN simulator for neuromorphic computing and research in Python

A manifesto for temporal computing where memory indexing is replaced by temporal delays and referencing.

Hardware-Software Co-design of Neuromorphic Networks

Error Signals For Adaptive Neuro-Robotics: preliminary experiment

Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Much like the Bifrost connecting the nine-realms of the Marvel cinematic universe, the Hyperdimensional Frost (Highfrost) allows users direct access to the explore the application of vector symbolic architectures in a variety of application and experimental domains.

A Python-based library for developing and applying semantic pointers with CUDA acceleration.

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit o…

Repository for the paper "Spiking Neural Networks for Low-Energy Glucose Monitoring"

Long Short-Term Memory Implementation Exploiting Passive RRAM Crossbar Array

Tutorial on neuromorphic computing with Lava, hosted at the AutoML Fall School 2023