12 Behavioral Diversity, Search and Stochastic Connectionist Systems

SJ Hanson - Neural network models of conditioning and action, 2016 - books.google.com
Biological systems engaged in “strategic” type behavior—foraging, avoiding threats, sexual
selection—tend to become “activated” or aroused. Concomitant with the observable …

[PDF][PDF] Predictive hebbian learning

TJ Sejnowski, P Dayan, PR Montague - Proceedings of the eighth annual …, 1995 - dl.acm.org
A creature presented with an uncertain and diction are less well understood. Prediction, and
its apvariable environment needs to anticipate in- propriate use for action, is essentially a …

Modeling the behavioral substrates of associate learning and memory: adaptive neural models

CC Lee - IEEE transactions on systems, man, and cybernetics, 1991 - ieeexplore.ieee.org
Three adaptive single-neuron models based on neural analogies of behavior modification
episodes are proposed, which attempt to bridge the gap between psychology and …

Neurophysiological theory of kamin blocking in fear conditioning.

DB Padlubnaya, NH Parekh, TH Brown - Behavioral neuroscience, 2006 - psycnet.apa.org
Kamin blocking in fear conditioning is thought to reflect diminished processing of the
unconditional stimulus (US) in the presence of a conditional stimulus (CS+) that was …

Classical conditioning as an adaptive specialization: A computational model

CR Gallistel - Psychology of Learning and Motivation, 1992 - Elsevier
Publisher Summary This chapter analyzes the results of some modern classical conditioning
experiments from the perspective of a computational model based on the assumption that …

Some biological implications of a differential-Hebbian learning rule

MA Gluck, DB Parker, E Reifsnider - Psychobiology, 1988 - Springer
Klopf (1988) presents a formal real-time model of classical conditioning which generates a
wide range of behavioral Pavlovian phenomena. We describe a replication of his simulation …

Empirically derived adaptive elements and networks simulate associative learning

DA Baxter, DV Buonomano, JL Raymond… - … network models of …, 1991 - books.google.com
ABSTRACT A goal common to both neurobiologists and neural network theorists is to
understand the events occurring within single elements and networks that contribute to …

Behavioral and neural correlates of error correction in classical conditioning and human category learning

MA Gluck - Memory and mind: A festschrift for Gordon H. Bower, 2008 - taylorfrancis.com
To what extent are the processes of human learning analogous to the more elementary
learning processes studied in animal-conditioning experiments? This question, and the …

Neuronal and network determinants of simple and higher-order features of associative learning: Experimental and modeling approaches

JH Byrne, DA Baxter, DV Buonomano… - Cold Spring Harbor …, 1990 - symposium.cshlp.org
One of the fundamental problems in neurobiology is to understand events occurring within
individual neurons and within neural networks that contribute to learning and memory. An …

The role of time in natural intelligence: implications for neural network and artificial intelligence research

AH Klopf, JS Morgan - Advanced neural computers, 1990 - Elsevier
Real-time, closed-loop interactions between biological systems and their environments
appear to be fundamental to the mechanisms that underlie natural intelligence. Such a …