Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10343842 | Nano Communication Networks | 2015 | 32 Pages |
Abstract
This survey reviews computational models of spiking neurons and their changes in connections, known as plasticity. The review studies models that are faithful to real neural cultures, and are computational efficient for real-time BISs. Also, criteria and methods for comparing models with 'in-vitro' experiments are reviewed to conclude on the level of realism of models in comparison with biological setups. Izhikevich's model of spiking neurons is recommended due to its accuracy in reproducing real neural firing patterns, computational efficiency, and ease of parameter adjustment. The model of Spike-timing dependent plasticity is recommended as current basis for representing neuron changes in connections. For the analysis of network connectivity and connectivity changes in BIS, the Cox method is recommended because it evaluates connections based on activities from all recorded neurons as opposed to pair-wise approaches.
Related Topics
Physical Sciences and Engineering
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Authors
Francois Christophe, Vafa Andalibi, Teemu Laukkarinen, Tommi Mikkonen, Kai Koskimies,