smni01_lecture

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smni01_lecture.pdf
%A L. Ingber
%T Statistical Mechanics of Neocortical Interactions (SMNI): Multiple Scales of Short-Term Memory and EEG Phenomena
%R SMNI Lecture Plates
%I Lester Ingber Research
%D 2001
%O URL http://www.ingber.com/smni01_lecture.pdf

 COVER PAGE
CONTENTS-1
CONTENTS-2
SMNI RATIONALE--"TOP DOWN"
Noninvasive Recordings of Brain Activity
EEG Electrodes
Single Electrode Recording of Dipole Activity
EEG of Mechanical String
String Equation
String Observables
SMNI DEVELOPMENT--"BOTTOM UP"
Scales Illustrated
Microscopic Neurons
Mesoscopic Aggregation
Mesoscopic Interactions
Mathematical Development
Inclusion of Macroscopic Circuitry
Equivalent Nearest-Neighbor Interactions
MATHEMATICAL AND NUMERICAL ASPECTS
Induced Riemannian Geometry
Measures of Nonlinear Nonequilibrium
Representations of Path Integral
Adaptive Simulated Annealing (ASA)
GENERIC MESOSCOPIC NEURAL NETWORKS (MNN)
Applications
MNN Learning
MNN Prediction
MNN Parallel Processing
SHORT-TERM MEMORY (STM)
Derivation of Short-Term Memory (STM)
Centering Mechanism
Applying the Centering Mechanism--"Inhibitory" State
Contours of "Inhibitory" State
Applying the Centering Mechanism--"Excitatory" State
Contours of "Excitatory" State
Applying the Centering Mechanism--"Balanced" State
Contours of "Balanced" State
Modeling Visual Cortex STM
STM Stability and Duration
PATHINT Calculations of STM
PATHINT Calculations of STM BC'_VIS
Primacy Versus Recency Rule
40 Hz Models of STM
ELECTROENCEPHALOGRAPHY (EEG)
Local and Global EEG
EEG Phenomena--Euler-Lagrange Approximation
E-L Propagation of Information
Macroscopic Linearization Aids Probability Development
EEG Macrocolumnar Lagrangian
EEG Variational Equation
Macroscopic Coarse-Graining
Development of Macrocolumnar EEG Distribution
Development of EEG Dipole Distribution
Key Indicators of EEG Correlates to Brain States
Pilot Study--EEG Correlates to Behavioral States
Lessons Learned
CANONICAL MOMENTA INDICATORS (CMI) -- EEG
Canonical Momenta Indicators (CMI)
SMNI CMI of Genetic Predisposition to Alcoholism
Data vs SMNI CMI for Alcoholic Group -- S2 Match
Data vs SMNI CMI for Control Group -- S2 Match
CHAOS IN EEG?
Duffing EEG Analog -- Chaos in Noise
Duffing EEG Analog -- Preliminary Indications
SMNI CORRELATES OF REACTION TIMES
Hick's Law
Time of First Passage Estimate of RT
Calculation of Hick's Law
SMNI FEATURES
Increasing Signal to Noise/Audit Trail to Sources

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Lester Ingber <[email protected]>
Copyright © 2001-2012 Lester Ingber. All Rights Reserved.

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