Heinke / Olson / Humphreys | Connectionist Models in Cognitive Neuroscience | Buch | 978-1-85233-052-1 | sack.de

Buch, Englisch, 299 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Perspectives in Neural Computing

Heinke / Olson / Humphreys

Connectionist Models in Cognitive Neuroscience

The 5th Neural Computation and Psychology Workshop, Birmingham, 8¿10 September 1998

Buch, Englisch, 299 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 482 g

Reihe: Perspectives in Neural Computing

ISBN: 978-1-85233-052-1
Verlag: Springer


1. Introdudion This volume collects together the refereed versions of 25 papers presented at the 5th Neural Computation and Psychology Workshop (NCPW5), held at the University of Birmingham from the 8th until the lOth of September 1998. The NCPW is a well-established, lively forum, which brings together researchers from a range of disciplines (artificial intelligence, mathematics, cognitive science, computer science, neurobiology, philosophy and psychology), all of whom are interested in the application of neurally-inspired (connectionist) models to topics in psychology. The theme of the 5th workshop in the series was Connectionist models in cognitive neuroscience', and the workshop aimed to bring together papers focused on the inter-relations between functional (psychological) accounts of cognition and neural accounts of underlying brain processes, linked by connectionist models. From the very beginnings of modern psychology, with the work of William James and his contemporaries, researchers have believed it important to relate behavioural analyses to neurological underpinnings. However, with the advent of connectionist modelling, where models are at least inspired by neuronal processes, this enterprise has received a new boost. With this volume, we hope that this volume adds one further mosaic stone to this ambitious objective, of unifying functional and neuronal accounts of performance.
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Language Processes.- The SPLIT Model of Visual Word Recognition: Complementary Connectionist and Statistical Cognitive Modelling.- Modelling Early Stages of Word Recognition: Case and the Peripheral Dyslexias.- Competitive Queuing and Spelling: Modelling Acquired Dysgraphia.- Neuropsychologically Plausible Sequence Generation in a Multi-Layer Network Model of Spelling.- Connectionist Dissociations, Confounding Factors and Modularity.- The Frontal Lobes and Episodic Memory.- Investigating the Role of Multimodal and Unimodal Cells of the Prefrontal Cortex Using a Computational Model of Working Memory.- Short Term Memory and Selection Processes in a Frontal-Lobe Model.- Experimenting with Models of the Frontal Lobes.- Towards an Emotional Robot: Simulating Hippocampal-Mediated Anxiety.- A Connectionist Model for Frequency Effects in Recall and Recognition.- Semantic Memory.- Semantic Judgement Errors in Parkinson’s Disease: The Role of Priming.- Category-Specific Deficits in a Self-Organizing Model of the Lexical-Semantic System.- What Causes Lexical Access Difficulties in Dementia? The Role of Covert Category-Specificity.- Feature Distributions and Experimental Evaluation in a Connectionist Model of Semantic Memory.- Stochastic Double Dissociations in Distributed Models of Semantic Memory.- Systematicity and Specialization in Semantics.- Vision, Attention and Action.- Unsupervised Detection of Illusory Contours.- Modelling Adaptation in the Human Oculomotor System.- A Study of the Neuronal Encoding of Categorization with the Use of a Kohonen Network.- A Connectionist Model of Categorization Response Times.- Modelling Emergent Attentional Properties.- The Role of Feedback Connections in Task-Driven Visual Search.- A Neuronal Model of Binding and Selective Attention forVisual Search.- Modelling Selective Processing in Vision and Action.- Attention and the Control of Action: An Investigation of the Effects of Selection on Population Coding of Hand and Eye Movement.- Author Index.


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