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About 1,147 papers for “Connectionism”

Connectionism

Weijters, A.J.M.M., Bosch, van den, A.P.J., Sandra, D. et al. · Data Archiving and Networked Services (DANS) · 2009

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Connectionism

Jerome A. Feldman, Lokendra Shastri · Encyclopedia of Cognitive Science · 2005

Abstract Science must eventually explain how the properties of the brain determine cognitive behavior. Connectionist approaches to cognitive science are based on the belief that our present understanding of neural and brain physiology should guide cognitive research.

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Connectionism

Weijters, AJMM Ton, Bosch, APJ van den · TU/e Research Portal (Eindhoven University of Technology) · 2009

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Connectionism

Onnis L · CINECA IRIS Institutial Research Information System (University of Genoa) · 2012

The Routledge Encyclopedia of Second Language Acquisition offers a user-friendly, authoritative survey of terms and constructs that are important to understanding research in second language acquisition (SLA) and its applications. The Encyclopedia is designed for use as a reference tool by students, researchers, teachers and professionals with an interest in SLA.

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Connectionism

Glenn Rowe · 1994

Abstract Minsky and Papert’ s work on perceptrons (Chapter 18) is widely regarded as having put a wet blanket on research into neural networks for many years, since it shows that perceptrons are severely limited in the sorts of predicates they could handle efficiently. The perceptron theorems, however, apply specifically to networks with an input layer (the retina), a single ‘ hidden’ layer (the subpredicates) and an output layer (the single predicate ;). The weights from the input layer to the layer of subpredicates are fixed, so the only adaptable parts of a perceptron are the weights from the hidden layer to the output cell. Minsky and Papert hypothesized, but did not prove, that adding more hidden layers would not lead to any improvement in the performance of the network.

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Connectionism

Joel Walmsley · Palgrave Macmillan UK eBooks · 2012

If one can describe GOFAI as ‘the computer model of mind’, it would be fair to describe connectionism as ‘the brain model of mind’. Neurophysiology is certainly an inspiration for connectionist models, and whilst there are many important differences, it is this broad architectural similarity that leads to the latter sometimes being described as ‘neural networks’. The approach is also called ‘Parallel Distributed Processing’ (PDP) because of its conception of how the brain works, and although these three expressions — connectionism, neural networks and PDP — all have slightly different connotations that one should probably take care to distinguish, doing so won’t be necessary for our discussion, and so I shall use them more-or-less synonymously.

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Connectionism

Ton Weijters, Antal van den Bosch · Handbook of pragmatics highlights · 2009

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"Connectionism"

Karaminis, Themis, Thomas, Michael · Edge Hill University Research Information Repository (Edge Hill University) · 2012

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Connectionism

Romain Brette · Princeton University Press eBooks · 2026

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Connectionism

Kenneth Aizawa · Oxford Bibliographies Online Datasets · 2011

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Connectionism

Hartley Slater · 2018

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Connectionism

Wangbing Shen · 2024

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Connectionism

International Journal of Parallel Programming · 1987

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Connectionism

Som Naidu · Distance Education · 2012

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CONNECTIONISM

Earl Hunt · Cambridge University Press eBooks · 2001

The mind is the product of the brain. Modern scientists are convinced that all the thoughts in our mind can, somehow, be reduced to physical actions in the brain. Alas, the "somehow" is important. We don't know just how the brain does it. What we think we know, though, is that computational modeling will help. To understand why we have to take a quick look at brains and neurons as physical devices.

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