PyTorch model training and layer saturation monitor
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Updated
Apr 1, 2023 - Python
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
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
An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays
PhD proposal: Geometric Signatures of Computational Motifs in Neural Population Dynamics
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.
This repository contains the implementation of a wide variety of Neuroscience Projects in different applications of computational neuroscience, behavioral analysis, task design with Psychopy. These projects include university projects and projects implemented due to interest in Neuroscience.
A compact Python implementation of a 5D cortical pacemaker model with Feller multiplicative noise.
Computational neuroscience experiments and learning notebooks.
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