PyTorch model training and layer saturation monitor
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Updated
Apr 1, 2023 - Python
PyTorch model training and layer saturation monitor
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
Computational neural network model incorporating neuromorphological alterations present in animal models of Down Syndrome. Main publication: https://doi.org/10.1371/journal.pcbi.1012259
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 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
Semester project to compute the Lyapunov exponents associated to neuronal dynamics of C. Elegans.
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
An Engine for Dynamic Enhancement and Noise Overcoming in Spatiotemporal Multimodal Neural Observations via High-density Microelectrode Arrays
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