?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Generic+mesoscopic+neural+networks+based+on+statistical+mechanics+of+neocortical+interactions&rft.creator=Ingber%2C+Lester&rft.subject=Computational+Neuroscience&rft.subject=Dynamical+Systems&rft.subject=Statistical+Models&rft.description=A+series+of+papers+over+the+past+decade+%5Bthe+most+recent+being+L.+Ingber%2C+Phys.+Rev.+A+44%2C+4017+(1991)%5D+has+developed+a+statistical+mechanics+of+neocortical+interactions+(SMNI)%2C+deriving+aggregate+behavior+of+experimentally+observed+columns+of+neurons+from+statistical+electrical-chemical+properties+of+synaptic+interactions%2C+demonstrating+its+capability+in+describing+large-scale+properties+of+short-term+memory+and+electroencephalographic+systematics.+This+methodology+also+defines+an+algorithm+to+construct+a+mesoscopic+neural+network%2C+based+on+realistic+neocortical+processes+and+parameters%2C+to+record+patterns+of+brain+activity+and+to+compute+the+evolution+of+this+system.+Furthermore%2C+this+algorithm+is+quite+generic%2C+and+can+be+used+to+similarly+process+information+in+other+systems%2C+especially%2C+but+not+limited+to%2C+those+amenable+to+modeling+by+mathematical+physics+techniques+alternatively+described+by+path-integral+Lagrangians%2C+Fokker-Planck+equations%2C+or+Langevin+rate+equations.+This+methodology+is+made+possible+and+practical+by+a+confluence+of+techniques+drawn+from+SMNI+itself%2C+modern+methods+of+functional+stochastic+calculus+defining+nonlinear+Lagrangians%2C+very+fast+simulated+reannealing%2C+and+parallel-processing+computation.&rft.date=1992&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F99%2F2%2Fsmni92_mnn.ps&rft.identifier=++Ingber%2C+Lester++(1992)+Generic+mesoscopic+neural+networks+based+on+statistical+mechanics+of+neocortical+interactions.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F99%2F