gaiasilvestri

spike-time-dependent-plasticity

A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).

344-project

tarjan

A Matlab iterative version of Tarjan's algorithm to find strongly connected components in a directed graph (linear time). The input is an adjacency matrix, where non-zero cells indicate a synaptic connection in the neural network represented.

310project

Course project for CPSC 310

asciirevival

A platform to render your html/css/javascript code live and share your creations.

Bifan-motifs-Spiking-Network

Modification of Izhikevich's spiking neural network model into a sparse motifs based network. The neurons in this network are connected as "bifan" motifs, not following random connectivity. We plot the LFP and firings of the spiking neural network.

chaos

Clayton-Frey model of working memory: Is a person’s answer to a memory task a chaotic competition between a correct and incorrect answer? How does changing the parameters that simulate chaos affect the memory task?

eventplanner

Data-intensive web app - PHP,SQL. An event management web app.

reciprocal-connections-counter

This MATLAB program displays the number of reciprocal connections in a spiking neural network as synapses get increasingly added amongst its neurons.

signal-detection

What are the factors contributing to a person’s decision that they heard a signal or not? Does manipulating factors such as expectation reproduce human behavior in the simulation?

v1macrocolumns

MATLAB simulation of a v1 macrocolumn. The program allows you to set the connectivity of the macrocolumn as random, or as a distribution of one or more motifs. The network undergoes STDP changes.

XORproblem-solver

A neural network that solves the XOR problem with backpropagation. Trained with the delta rule. MATLAB