?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Statistical+mechanics+of+neocortical+interactions%3A+A+scaling+paradigm+applied+to+electroencephalography&rft.creator=Ingber%2C+Lester&rft.subject=Computational+Neuroscience&rft.subject=Statistical+Models&rft.description=A+series+of+papers+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.+While+not+useful+to+yield+insights+at+the+single+neuron+level%2C+SMNI+has+demonstrated+its+capability+in+describing+large-scale+properties+of+short-term+memory+and+electroencephalographic+(EEG)+systematics.+The+necessity+of+including+nonlinear+and+stochastic+structures+in+this+development+has+been+stressed.+In+this+paper%2C+a+more+stringent+test+is+placed+on+SMNI%3A+The+algebraic+and+numerical+algorithms+previously+developed+in+this+and+similar+systems+are+brought+to+bear+to+fit+large+sets+of+EEG+and+evoked+potential+data+being+collected+to+investigate+genetic+predispositions+to+alcoholism+and+to+extract+brain+%22signatures%22+of+short-term+memory.+Using+the+numerical+algorithm+of+Very+Fast+Simulated+Re-Annealing%2C+it+is+demonstrated+that+SMNI+can+indeed+fit+this+data+within+experimentally+observed+ranges+of+its+underlying+neuronal-synaptic+parameters%2C+and+use+the+quantitative+modeling+results+to+examine+physical+neocortical+mechanisms+to+discriminate+between+high-risk+and+low-risk+populations+genetically+predisposed+to+alcoholism.+Since+this+first+study+is+a+control+to+span+relatively+long+time+epochs%2C+similar+to+earlier+attempts+to+establish+such+correlations%2C+this+discrimination+is+inconclusive+because+of+other+neuronal+activity+which+can+mask+such+effects.+However%2C+the+SMNI+model+is+shown+to+be+consistent+with+EEG+data+during+selective+attention+tasks+and+with+neocortical+mechanisms+describing+short-term+memory+previously+published+using+this+approach.+This+paper+explicitly+identifies+similar+nonlinear+stochastic+mechanisms+of+interaction+at+the+microscopic-neuronal%2C+mesoscopic-columnar+and+macroscopic-regional+scales+of+neocortical+interactions.+These+results+give+strong+quantitative+support+for+an+accurate+intuitive+picture%2C+portraying+neocortical+interactions+as+having+common+algebraic+or+physics+mechanisms+that+scale+across+quite+disparate+spatial+scales+and+functional+or+behavioral+phenomena%2C+i.e.%2C+describing+interactions+among+neurons%2C+columns+of+neurons%2C+and+regional+masses+of+neurons.&rft.date=1991&rft.type=Journal+(Paginated)&rft.type=PeerReviewed&rft.format=application%2Fpostscript&rft.identifier=http%3A%2F%2Fcogprints.org%2F98%2F2%2Fsmni91_eeg.ps&rft.identifier=++Ingber%2C+Lester++(1991)+Statistical+mechanics+of+neocortical+interactions%3A+A+scaling+paradigm+applied+to+electroencephalography.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F98%2F