Temporal sequence learning, prediction, and control: a review of different models and their relation to biological mechanisms
F Wörgötter, B Porr - Neural computation, 2005 - ieeexplore.ieee.org
In this review, we compare methods for temporal sequence learning (TSL) across the
disciplines machine-control, classical conditioning, neuronal models for TSL as well as …
disciplines machine-control, classical conditioning, neuronal models for TSL as well as …
Spike timing dependent synaptic plasticity in biological systems
PD Roberts, CC Bell - Biological cybernetics, 2002 - Springer
Association of a presynaptic spike with a postsynaptic spike can lead to changes in synaptic
efficacy that are highly dependent on the relative timing of the pre-and postsynaptic spikes …
efficacy that are highly dependent on the relative timing of the pre-and postsynaptic spikes …
[BOEK][B] Artificial neural systems: foundations, paradigms, applications, and implementations
PK Simpson - 1991 - dl.acm.org
Artificial neural systems | Guide books skip to main content ACM Digital Library home ACM
home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search …
Time-derivative models of Pavlovian reinforcement.
Time-derivative models of Pavlovian reinforcement. Time-derivative models of Pavlovian
reinforcement. Citation Sutton, RS, & Barto, AG (1990). Time-derivative models of Pavlovian …
reinforcement. Citation Sutton, RS, & Barto, AG (1990). Time-derivative models of Pavlovian …
Hidden patterns in combined and adaptive knowledge networks
B Kosko - International Journal of Approximate Reasoning, 1988 - Elsevier
Uncertain causal knowledge is stored in fuzzy cognitive maps (FCMs). FCMs are fuzzy
signed digraphs with feedback. The sign (+ or-) of FCM edges indicates causal increase or …
signed digraphs with feedback. The sign (+ or-) of FCM edges indicates causal increase or …
[BOEK][B] Neural organization: Structure, function, and dynamics
MA Arbib, J Szentágothai - 1998 - books.google.com
In Neural Organization, Arbib, Erdi, and Szentagothai integrate structural, functional, and
dynamical approaches to the interaction of brain models and neurobiologcal experiments …
dynamical approaches to the interaction of brain models and neurobiologcal experiments …
[BOEK][B] Introduction to neural and cognitive modeling
DS Levine - 2000 - taylorfrancis.com
This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …
principles and the details of neural network modeling accessible to cognitive scientists of all …
A neuronal model of classical conditioning
A Harry Klopf - Psychobiology, 1988 - Springer
A neuronal model of classical conditioning is proposed. The model is most easily described
by contrasting it with a still influential neuronal model first analyzed by Hebb (1949). It is …
by contrasting it with a still influential neuronal model first analyzed by Hebb (1949). It is …
Fuzzy cognitive strategic maps in business process performance measurement
M Glykas - Expert Systems with Applications, 2013 - Elsevier
This paper elaborates on the application of Fuzzy Cognitive Maps (FCMs) in strategy maps
(SMs). The limitations of the Balanced Scorecards (BSCs) and SMs are first discussed and …
(SMs). The limitations of the Balanced Scorecards (BSCs) and SMs are first discussed and …
Unsupervised learning procedures for neural networks
S Becker - International Journal of Neural Systems, 1991 - World Scientific
Supervised learning procedures for neural networks have recently met with considerable
success in learning difficult map**s. However, their range of applicability is limited by their …
success in learning difficult map**s. However, their range of applicability is limited by their …