Cybernetics of the Nervous systemCybernetics of the Nervous system |
Contents
| 9 | |
Chapter 3 Zur Theorie Der Lateralen Nervösen Inhibition im Limulus KomplexAuge | 64 |
Chapter 4 Über Nichtlineare Analogschaltungen Zur Simulierung Biologischer Adaptationsvorgänge | 74 |
Chapter 5 Some Problems in Artificial Intelligence | 102 |
Chapter 6 On Cybernetics Information Processing and Thinking | 118 |
Chapter 7 Information and Psychic Activity | 139 |
Chapter 8 The Kybernetics of Cyclothymia | 151 |
Chapter 9 Possibilités dune Prothèse Sensorielle Acoustiqtie Par Stimulation Tactile | 169 |
Chapter 14 Pattern Recognition and SelfOrganisation using Wieners Canonical Forms | 258 |
Chapter 15 Solution of Elementary Logical Problems by Animals on the Basis of Extrapolation | 280 |
Chapter 16 Applications of Information Theory and Decision Theory to Human Perception and Reaction | 309 |
Chapter 17 A Minds Eye View of the Brain | 321 |
Chapter 18 Mathematical Models for Verbal Learning | 333 |
Chapter 19 ProbabilityStatistical Model of the Brain Organisation | 350 |
Chapter 20 An Outline of the Development of a Neuron Model | 356 |
Chapter 21 A Model of Learning Mechanisms in the Brain | 369 |
Chapter 10 Überraschungswert Und Auffälligkeit | 179 |
Chapter 11 Taxis Kinesis and Decussation | 210 |
Chapter 12 Universal Embedding Spaces for Automata | 223 |
Chapter 13 Fields and Waves in Excitable Cellular Structures | 244 |
Chapter 22 Perspectives in Neurocybernetics | 399 |
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Common terms and phrases
action potential activity animal artificial intelligence Auffälligkeit automata automata theory automaton axon Beleuchtungsstärke biological brain carotid sinus cells cerebral cortex circuit coding complex composition connected corresponding cortex cybernetics cyclothymia dynamic effect elements embedding ensemble entropy equations error excitatory experimental experiments f-neurons feedback finite frequency function given impulses information theory inhibition inhibitory input intelligent interaction kinesis Kybernetik learning linear logical machine MacKay mathematical mechanism membrane memory nerve nervous system Neumann neural neurons neurophysiology non-linear Norbert Wiener object composition organization output parameter parasympathetic pattern phobia physical physiological possible prediction present probability problem procedure properties Psychol random reaction Reichardt Reiz response screen sequence shown in Fig signal specific stationären statistical statistical mechanics stimulus structure subsets synapse tactile theorem transmission transmitter substance trial type of behaviour Werte Wiener wurde