gaiasilvestri/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.
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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.
This MATLAB program displays the number of reciprocal connections in a spiking neural network as synapses get increasingly added amongst its neurons.
A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).
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.
Data-intensive web app - PHP,SQL. An event management web app.
A neural network that solves the XOR problem with backpropagation. Trained with the delta rule. MATLAB
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?
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?
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.
A platform to render your html/css/javascript code live and share your creations.
Course project for CPSC 310
Public repository.