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Binding problem

Known as: Binding 
The binding problem is a term used at the interface between neuroscience, cognitive science and philosophy of mind that has multiple meanings… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2009
2009
A new micro immune-magnetophoretic cell sorter (micro IMP cell sorter) has been developed to isolate T lymphocytes from… Expand
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Highly Cited
2005
Highly Cited
2005
It is well-known that ellipsis constructions involving bound variables are sometimes ambiguous. For instance, the sentence… Expand
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Highly Cited
2005
Highly Cited
2005
Barrett, Niedenthal, Winkielman, Introduction. Part 1. Cognition and Emotion. Niedenthal, Barsalou, Ric, Krauth-Gruber… Expand
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Highly Cited
2004
Highly Cited
2004
This paper presents the inception and subsequent revisions of an immune-inspired supervised learning algorithm, Artificial Immune… Expand
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Highly Cited
2004
Highly Cited
2004
The paper proposes a way of bridging the gapbetween physical processes in the brain and the ''felt''aspect of sensory experience… Expand
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Highly Cited
2004
Highly Cited
2004
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning… Expand
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2002
2002
In this paper we present a novel Genetic Algorithm (GA) for feature selection in machine learning problems. We introduce a novel… Expand
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Highly Cited
2001
Highly Cited
2001
  • B. Charlton
  • BMJ : British Medical Journal
  • 2001
  • Corpus ID: 60583696
Merlin Donald ![][1] W W Norton, £22.95, pp 371 ISBN 0 393 04950 7 Rating: ![Graphic][2] ![Graphic][3] ![Graphic][4] There… Expand
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Highly Cited
1999
Highly Cited
1999
In attempts to formulate a computational understanding of brain function, one of the fundamental concerns is the data structure… Expand
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Highly Cited
1994
Highly Cited
1994
Single neurons generate action potentials that express their output in pulse frequencies, so that sensory stimuli can be… Expand
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