neural-dynamics

There are 9 repositories under neural-dynamics topic.

  • delve-team/delve

    PyTorch model training and layer saturation monitor

    Language:Python8132113

  • micahreich/mppi-neural-dynamics

    Information Theoretic MPC with Neural Dynamics Modeling

    Language:Jupyter Notebook1201

  • pclus/transverse-instabilities

    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

    Language:C1101

  • amirhosein-mesbah/NeuroScience

    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.

    Language:Jupyter Notebook0100

  • gdelfe/Belief_Propagation-Message_Passing

    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

    Language:C0100

  • HayderAminLab/DENOISING

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

    Language:Python0100

  • pclus/neuromorphology

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

    Language:C0100

  • PhilippeGigon/Lyapunov-Spectrum-C.-Elegans

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

    Language:Jupyter Notebook0100

  • Tommy7414/E-I-connection-spiking-neural-model

    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

    Language:Python10