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Disjunctive models of Boolean category learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Memory, Learning, and Higher Function
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Competition and Cooperation in Neural Nets
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A self-organizing neural network with a function of associative memory: Feedback-type cognitron
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Connectionistic models of boolean category representation
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A neural model for category learning
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An analysis of associative learning in a terrestrial mollusc
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Parallel models of associative memory
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Short-term changes in neural activity and behavior
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Comparison of the enhancement gradients of retention obtained with stimulation of the mesencephalic reticular formation after training or memory reactivation
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Characteristics of retrograde amnesia following reactivation of memory in mice
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Principles of neural science
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The Physiological Basis of Memory
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Changing Concepts of the Nervous System
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Adaptive Behavior and Learning
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Is there a cell-biological alphabet for simple forms of learning?
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Learned helplessness: Theory and evidence.
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Model of response-reinforcer contingency.
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Physiological plasticity of single neurons in auditory cortex of the cat during acquisition of the pupillary conditioned response: I. Primary field (AI).
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Is there a cell-biological alphabet for simple forms of learning?
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Physiological plasticity of single neurons in auditory cortex of the cat during acquisition of the pupillary conditioned response: II. Secondary field (AII).
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Pavlovian conditioning and its proper control procedures.
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Cue-dependent amnesia in rats.
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Concept identification of auditory stimuli as a function of amount of relevant and irrelevant information.
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Mathematical theory of concept identification.
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A Bayesian analysis of attribution processes.
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Logic Design and Switching Theory
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Judgement of Act-Outcome Contingency: The Role of Selective Attribution
inferredcites →https://doi.org/10.1080/14640748508402082openalex-snapshot
Forward and Backward Blocking in Human Contingency Judgement
inferredcites →https://doi.org/10.1126/science.150.3696.554-aopenalex-snapshot
Legacy of the Flexner Report
inferredcites →https://doi.org/10.1126/science.160.3827.554openalex-snapshot
Retrograde Amnesia Produced by Electroconvulsive Shock after Reactivation of a Consolidated Memory Trace
inferredcites →https://doi.org/10.1126/science.166.3904.525openalex-snapshot
Electroconvulsive Shock Effects on a Reactivated Memory Trace: Further Examination
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Retrograde Amnesia for Old (Reactivated) Memory: Some Anomalous Characteristics
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From Neuron to Brain: A Cellular Approach to the Function of the Nervous System
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Hormonal Influences on Memory
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Progress in Psychobiology and Physiological Psychology, Vol. 8
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Feature Discovery by Competitive Learning*
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A Learning Algorithm for Boltzmann Machines*
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From Neuron to Brain
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CONTINGENCY SPACES AND MEASURES IN CLASSICAL AND INSTRUMENTAL CONDITIONING1
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Learning Internal Representations by Error Propagation
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Cognition and Categorization
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Cognitive Processes in Animal Behavior
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Attention: Contemporary Theory and Analysis
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Contemporary Approaches to Conditioning and Learning
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Adaptive Behavior and Learning
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Conditioning and Associative Learning
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Contemporary Animal Learning Theory
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Autoshaping and Conditioning Theory
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Pattern Classification and Scene Analysis.
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Tests of two explanations of response elimination by noncontingent reinforcement
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A note on measurement of contingency between two binary variables in judgment tasks
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Categories and Concepts
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Information Processing in Animals
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Perspectives on Learning and Memory
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Synaptic Modification, Neuron Selectivity, and Nervous System Organization
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Principles of Categorization
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Certain Aspects of the Anatomy and Physiology of the Cerebral Cortex

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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The implementation of propositional logic in random neural networks
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Feature Handling in Learning Algorithms
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Bibliography
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Evolutionary Adaptation to a Real and an Artificial World
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Informational properties of neural nets performing algorithmic and logical tasks
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Learning and using specific instances
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A parallel network that learns to play backgammon
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Connectionist learning procedures
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Using a neural network to forecast visitor behavior
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The optimised internal representation of multilayer classifier networks performs nonlinear discriminant analysis
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Mapping hierarchical neural networks to VLSI hardware
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CONNECTIONIST LEARNING PROCEDURES11This chapter appeared in Volume 40 of Artificial Intelligence in 1989, reprinted with permission of North-Holland Publishing. It is a revised version of Technical Report CMU-CS-87-115, which has the same title and was prepared in June 1987 while the author was at…
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BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH 1985–1989
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Constructing X-of-N Attributes for Decision Tree Learning
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Representing and learning Boolean functions of multivalued features
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Pattern classification using neural networks
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Flash learning for a multilayer network
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On generalized adaptive neural filters
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Binary Higher Order Neural Networks for Realizing Boolean Functions
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Learning in artificial neural systems
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