RT Book, Section SR Print(0) ID 1102061481 T1 Neural Networks T2 Principles of Neural Science, Fifth Edition YR 2014 FD 2014 PB McGraw-Hill Education PP New York, NY SN 978-0-07-139011-8 LK neurology.mhmedical.com/content.aspx?aid=1102061481 RD 2024/03/29 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