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URL: http://sccn.ucsd.edu/~arno/spikenet/index.html
Proper Citation: SpikeNET (RRID:SCR_010686)
Description: SpikeNET is a program designed for simulating very large networks of asynchronous spiking neurons. Neurons are simulated with a limited number of parameters that includes classic properties like the post-synaptic potential and threshold, but also more novel features like dendritic sensitivity. SpikeNET can be used to simulate networks with millions of neurons and hundreds of millions of synaptic weights. Optimization of computation time and the aim of real time computation has been one of the driving forces behind the development of SpikeNET. It works on Unix. What SpikeNET can do * Perform image processing using biologically plausible network of neurons. * Simulate millions of integrate-and-fire neurons organized in retinotopical maps. * Connect these neuronal maps using projection files, and regroup common synaptic weights to save memory in order to be able to declare several hundreds of billions of synaptic connections. * Convert gray level images into lists of spikes (also SpikeNET can perform a variety of preprocessing on the input images). * Implement a complex mechanism for projection between neuronal maps of different sizes. * Implement supervised learning. * Implement the efficient neuronal Rank-Order-Coding scheme (optional)
Synonyms: SpikeNET software
Resource Type: software resource
Defining Citation: PMID:14653495
Keywords: face recognition, digit recognition, rank order coding
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