finding short term synaptic plasticity using Steinmetz dataset

OpenCL-based neuronal network simulator. Incorporates synaptic plasticity based on event-based implementation of Graupner-Brunel algorithm. Neurons are encoded as leaky integrate-and-fire (LIF). Synapses are current based and are available as both direct delta-currents and a difference-of-exponentials.

Personality and plasticity predict postrelease performance in a reintroduced mesopredator.

Elasto-plastic material models

Uma biblioteca de simulação de uma rede de neurônios de Rulkov em c++.

This repository contains functions and scripts to import, process, plot and analyze EMG data acquired from the Tucker Davis Technologies (TDT) system, for use in PAS Experiments

Detecting trait differences between a reintroduced and a dispersing eastern quoll population.

This project is designed to assess cortical motor map changes due to pellet eating behavior paired with vagus nerve stimulation

Actor-Critic simulator for catastrophic failure to learn during task roving in humans. It turns out that the unsupervised bias is not the cause of the failure to learn.

Plasticity with XNURBS on NixOS

Compartmentalized models with Argiope

Partial information decomposition (PID) analysis of neuronal plasticity model.

NEURON model of inhibitory synaptic plasticity through KCC2 regulation.

Analysis of Work Hardening Behavior

Artificial Spiking Neural Networks, Spike-Timing Dependent Plasticity, Hebbian Plasticity, Closed-Loop Stimulation, Stimulation-Induced Plasticity, Computational Neuroscience

This Python code generates a Combinatorial Discrete Cell Complex for the slip planes arrangement in FCC and BCC lattices as a set of Adjacency and Incidence matrices

Scripts for Navarro-Lobato et al. 2023 eLife.

Learning to Predict Crystal Plasticity at the Nanoscale:Deep Residual Networks and Size Effects in UniaxialCompression Discrete Dislocation Simulations