TY  - CHAP
M1  - Book, Section
TI  - Neural Networks
Y1  - 2014
N1  - 
T2  - Principles of Neural Science, Fifth Edition
AB  - Early  Neural  Network  ModelingNeurons  Are  Computational  DevicesA  Neuron  Can  Compute  Conjunctions  and  DisjunctionsA  Network  of  Neurons  Can  Compute  Any  Boolean  Logical  FunctionPerceptrons  Model  Sequential  and  Parallel  Computation  in  the  Visual  SystemSimple  and  Complex  Cells  Could  Compute  Conjunctions  and  DisjunctionsThe  Primary  Visual  Cortex  Has  Been  Modeled  As  a  Multilayer  PerceptronSelectivity  and  Invariance  Must  Be  Explained  by  Any  Model  of  VisionVisual  Object  Recognition  Could  Be  Accomplished  by  Iteration  of  Conjunctions  and  DisjunctionsAssociative  Memory  Networks  Use  Hebbian  Plasticity  to  Store  and  Recall  Neural  Activity  PatternsHebbian  Plasticity  May  Store  Activity  Patterns  by  Creating  Cell  AssembliesCell  Assemblies  Can  Complete  Activity  PatternsCell  Assemblies  Can  Maintain  Persistent  Activity  PatternsInterference  Between  Memories  Limits  CapacitySynaptic  Loops  Can  Lead  to  Multiple  Stable  StatesSymmetric  Networks  Minimize  Energy-Like  FunctionsHebbian  Plasticity  May  Create  Sequential  Synaptic  PathwaysAn  Overall  View  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/16
UR  - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1102061481
ER  -