synaptic-plasticity

Convolutional spiking neural network implementing STDP

Convolutional spiking neural network implementing voltage-dependent synaptic plasticity and single-spike integrate-and-fire neurons

Neuron++ is a library which wraps NEURON (http://www.neuron.yale.edu) with easy to use Python objects.

Biomimetic cognitive memory system for AI agents, brain-inspired persistence with synaptic plasticity, hybrid PPMI+SVD vector search, LTP/LTD, and inter-agent shared cortex. Pure Python + SQLite, zero heavy dependencies.

Companion code to Confavreux*, Ramesh*, Goncalves, Macke* & Vogels*, Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference, NeurIPS 2023

This repository contains my current doctoral research at the University of Manchester

Simulation code for Hashemi, S., and Shafiee, S., and Tetzlaff, C. (2025)."Robust Input Disentanglement Through Dendritic Calcium-Mediated Action Potentials"

Showcases of Spiking Neural Network, which have Synaptic Plasticity

Simulation code for Limbacher, T. and Legenstein, R. (2020). Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring

Spiking-network simulations of stable, overlapping neural assemblies learned via dendritic-specific inhibitory gating (Onasch, Miehl et al.).

LSTN is an experimental text generation engine that models language not as static probabilities, but as a dynamic and "liquid" neural network. Each trigram (3-character sequence) acts as an individual neuron within a continuous temporal dynamic system.

Biologically inspired STDP neural plasticity simulator with visualizations, tests, and educational examples.

👉 A biologically grounded RL agent that learns through dopamine signals, membrane dynamics, and sleep-driven synaptic pruning.

Model of the Thalamo-Cortical Microcircuit - Please, refer to the new repository https://github.com/celinesoeiro/TCM-model

Hybrid long short-term plasticity liquid state machine

Python code accompanying the paper https://doi.org/10.1101/460568

Inhibitory neuron plasticity as a mechanism for ocular dominance plasticity (Bono & Clopath 2019)

Simulate multiple independent leaky integrate-and-fire neurons. Incorporates synaptic plasticity model. Useful for comparing effect of independence vs causal synaptic coupling on synaptic plasticity.

This repository explores the impact of a rare genetic mutation on glycine decarboxylase (GLDC) activity and its contribution to schizophrenia. It includes data analysis, research findings, and potentially tools for further investigation.

Open operating-system specification for biological neural networks — cortical organoids, MEA-coupled cultures, and their in-silico emulators. v0.1 draft with working L0 reference emulator (Izhikevich + Hodgkin-Huxley + STDP + migration).