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Theory for the development of neuron selectivity: orientation specificity and binocular interaction in visual cortex
The development of stimulus selectivity in the primary sensory cortex of higher vertebrates is considered in a general mathematical framework. A synaptic evolution scheme of a new kind is proposed inExpand
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A unified model of NMDA receptor-dependent bidirectional synaptic plasticity
Synapses in the brain are bidirectionally modifiable, but the routes of induction are diverse. In various experimental paradigms, N-methyl-d-aspartate receptor-dependent long-term depression andExpand
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Bound electron pairs in a degenerate Fermi gas
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When Networks Disagree: Ensemble Methods for Hybrid Neural Networks
Abstract : This paper presents a general theoretical framework for ensemble methods of constructing significantly improved regression estimates. Given a population of regression estimators, theExpand
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Microscopic theory of superconductivity
Key steps in the development of the microscopic understanding of superconductivity are discussed. Expand
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Theory of superconductivity
A theory of superconductivity is presented, based on the fact that the interaction between electrons resulting from virtual exchange of phonons is attractive when the energy difference between theExpand
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On the problem of consciousness
  • L. Cooper
  • Psychology, Medicine
  • Neural Networks
  • 1 November 2007
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A physiological basis for a theory of synapse modification.
The functional organization of the cerebral cortex is modified dramatically by sensory experience during early postnatal life. The basis for these modifications is a type of synaptic plasticity thatExpand
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The BCM theory of synapse modification at 30: interaction of theory with experiment
  • L. Cooper, M. Bear
  • Psychology, Medicine
  • Nature Reviews Neuroscience
  • 1 November 2012
Thirty years have passed since the publication of Elie Bienenstock, Leon Cooper and Paul Munro's 'Theory for the development of neuron selectivity: orientation specificity and binocular interactionExpand
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Improving nearest neighbor rule with a simple adaptive distance measure
We demonstrate that an extremely simple adaptive distance measure significantly improves the performance of the k-nearest neighbor rule when patterns of different classes overlap. Expand
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