Research Project
Grant-in-Aid for Young Scientists (B)
We proposed a mathematical model of local cortical neural network. The proposed model reproduces the experimentally observed neural activities on prefrontal cortex. We mathematically clarify the concept of synaptic assemblies which characterize a temporally strengthened group of synapses and contribute information representation in the brain. We elucidate dynamical properties on several neural network with dynamic synapses, i.e. the associative memory network. We established the basis of engineering application of neural dynamics by implementing the associative memory network on a programmable device.
All 2015 2014 2013 Other
All Journal Article (5 results) (of which Open Access: 2 results, Acknowledgement Compliant: 2 results, Peer Reviewed: 2 results) Presentation (10 results) Book (2 results) Remarks (2 results)
生産研究
Volume: 67 Pages: 295-298
130005074275
SEISAN KENKYU
Volume: 66 Issue: 3 Pages: 295-298
10.11188/seisankenkyu.66.295
130004678864
Advances in Cognitive Neurodynamics
Volume: 未定
Plos One
Volume: 8(12) Issue: 12 Pages: e80906-e80906
10.1371/journal.pone.0080906
http://researchmap.jp/katori