SENSIM Paper submission - IJCNN - IEEE WCCI world conference
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Updated
May 29, 2024 - Python
SENSIM Paper submission - IJCNN - IEEE WCCI world conference
Solving a steady-state PDE using spiking networks and neuromorphic hardware - Smith et al. ICONS 2020
A Python package for the simulation of organoids for the purpose of studying Organoid Intelligence (OI) and Organoid Learning (OL).
Final Year DIssertation Project
Pipeline Consisting of LSTM + Variational and Transformer Based Autoencoders + PCA/UMAP (Parameterized and Non-Parameterized) For Generating Low-Dim Manifold Representation of V1 Neural Activity
A Bidirectional LSTM Network and EEG-Response Organoid for simulating neural responses to classical piano music.
Accelerated SNN simulator for neuromorphic computing and research in Python
Implementation of 'Dendritic error backpropagation in deep cortical microcircuits', Sacramento, Senn 2017 in Python.
Tactile Exploration and Perception for Robots with Neuromorphic Computing
A PyTorch-based framework for neuromorphic modeling.
Partial Differential Equation (PDE) solver using neural networks with the Nengo package.
A mixing of neuromorphic and quantum computing for the Comparative Machine Learning class
This repository contains my current doctoral research at the University of Manchester
Automatic differentiable design of photonic tensor cores
Spiking neural networks in Jax with equinox.
An exploration of blind source audio separation using spiking neural networks. Latency, power. and intelligibility are primary objectives while bio-plausibility is left as a secondary objective to be addressed in the future.
Offical Implementation of "CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks" (ICML 2024)
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