PyTorch model training and layer saturation monitor

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

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

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

Information Theoretic MPC with Neural Dynamics Modeling

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

Static Belief Propagation - Message Passing algorithms for the computation of the magnetization and correlation, at any temperature, in both the spin-glass and ferromagnetic Ising model

Semester project to compute the Lyapunov exponents associated to neuronal dynamics of C. Elegans.

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.

Fourier analysis of neuron activity data. Identify neuron associated with periodic perturbation.