neural-dynamics

PyTorch model training and layer saturation monitor

Official implementation of the NeurIPS 25 Paper: "Diffusion Generative Modeling on Lie Group Representations"

A collection of educational Python script for Neural Dynamics

Activation-aligned asynchronous residual CEM-MPC for position-controlled manipulators with learned dynamics.

aNA (Autonomous Neural Architecture) AI Project: A bio-inspired cognitive framework focused on targeted plasticity, energy sobriety, and the elegance of living mechanisms.

Computational neural network model incorporating neuromorphological alterations present in animal models of Down Syndrome. Main publication: https://doi.org/10.1371/journal.pcbi.1012259

Computational neuroscience modeling project with reproducible simulations of excitability, adaptation, synchrony, and population-level EEG-like activity.

A Brian2-based spiking neural network model for perceptual decision-making, featuring selective inhibition control and top-down modulation. The GUI supports real-time visualization and comprehensive analyses, including single-trial and multiple-trial performance metrics such as psychometric curves, reaction times (RT), and energy landscapes

Learning shared latent dynamics across multiple asynchronous, non-overlapping neural recording sessions (ICLR 2025).

Information Theoretic MPC with Neural Dynamics Modeling

Computable metric for autonomous internal dynamics in neural systems (CCI + MRC-C)

Code and data of the paper Clusella et al. "Complex spatiotemporal oscillations emerge from transverse instabilities in large-scale brain networks" (2023) https://doi.org/10.1371/journal.pcbi.1010781

PhD proposal: Geometric Signatures of Computational Motifs in Neural Population Dynamics

An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays

Neurophysical core — private. This repository contains a public showcase: a brief description of capabilities, an example (raw) dataset, and a demo video of the neurophysical core in action.

A simulation of the simplest model of a firing neuron — showing how it charges up like a leaky battery and fires a spike once it hits a threshold.

Biological and medical applications of the Symmetrical Convergence (SymC) framework. Exploring critical damping in cellular, neurological, and immune systems for stability and adaptive control.

A framework for constructing digital twins of brain dynamics. Reconstruct functional networks from signals and run simulations using coupled oscillator models.

attractor for memory in neural system. The dynamics calculation and deductions. Simulation

Brian2-based Brunel balance network computational neuroscience microproject, built with codex GPT-5.4 vibe coding