Selective information processing in neural networks is studied through computer simulations of Pavlovian conditioning data. The model reproduces properties of blocking, inverted-U in learning as a function of interstimulus interval, anticipatory conditioned responses, secondary reinforcement, attentional focusing by conditioned motivational feedback, and limited capacity short-term memory processing. Conditioning occurs from sensory to drive representations (conditioned reinforcer learning), from drive to sensory representations (incentive motivational learning), and from sensory to motor representations (habit learning). The conditionable pathways contain long-term memory traces that obey a non-Hebbian associative law. The neural model emb...
A change in synaptic strength arising from the activation of two neuronal pathways at approximately ...
Selective attention involves the differential processing of different stimuli, and has widespread ps...
Associative learning involves the encoding of relationships between events, for example, between two...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
This thesis documents the development, operation, and performance of a new nonlinear analog system d...
This dissertation focuses on the biological structures that allow animals to exhibit classical condi...
As summarized in the present volume, the mechanisms that underlie learning and memory in invertebrat...
This paper describes simulations of two context-dependence phenomena in Pavlovian conditioning, usin...
Pavlovian conditioning is the process by which we learn relationships between stimuli and thus const...
Present neural models of classical conditioning all suffer from the same shortcoming: local represen...
The SOP model [Information Processing in Animals: Memory Mechanisms, Erlbaum, Hillsdale, NJ, 1981, p...
Current knowledge on the neuronal substrates of Pavlovian conditioning in animals and man is briefly...
Some existing models of hippocampal function simulate performance in classical conditioning tasks us...
Classical and operant conditioning principles, such as the behavioral discrepancy-derived assumption...
A change in synaptic strength arising from the activation of two neuronal pathways at approximately ...
Selective attention involves the differential processing of different stimuli, and has widespread ps...
Associative learning involves the encoding of relationships between events, for example, between two...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
This paper investigates the possible role of neuroanatomical features in Pavlovian conditioning, via...
This thesis documents the development, operation, and performance of a new nonlinear analog system d...
This dissertation focuses on the biological structures that allow animals to exhibit classical condi...
As summarized in the present volume, the mechanisms that underlie learning and memory in invertebrat...
This paper describes simulations of two context-dependence phenomena in Pavlovian conditioning, usin...
Pavlovian conditioning is the process by which we learn relationships between stimuli and thus const...
Present neural models of classical conditioning all suffer from the same shortcoming: local represen...
The SOP model [Information Processing in Animals: Memory Mechanisms, Erlbaum, Hillsdale, NJ, 1981, p...
Current knowledge on the neuronal substrates of Pavlovian conditioning in animals and man is briefly...
Some existing models of hippocampal function simulate performance in classical conditioning tasks us...
Classical and operant conditioning principles, such as the behavioral discrepancy-derived assumption...
A change in synaptic strength arising from the activation of two neuronal pathways at approximately ...
Selective attention involves the differential processing of different stimuli, and has widespread ps...
Associative learning involves the encoding of relationships between events, for example, between two...