David D. Vogel

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I first describe a neural network model of associative memory in a small region of the brain. The model depends, unconventionally, on disinhibition of inhibitory links between excitatory neurons rather than long-term potentiation (LTP) of excitatory projections. The model may be shown to have advantages over traditional neural network models both in terms(More)
  • D D Bigner, Vick, Engel, Bigner, Brightman, Reese +14 others
  • 2013
An improved method of preparing Schmidt Ruppin Rous sarcoma virus for brain tumor induction in mammals. Correlated virological and ultrastructural study of Schmidt Ruppin Rous sarcoma virus induced dog brain tumors. A mechanism underlying the lack of a blood–brain barrier to peroxidase in virally induced brain tumors. Avian sarcoma virus induced brain(More)
This paper provides an analysis of a new class of distributed memories known as R-nets. These networks are similar to Hebbian networks, but are relatively sparsly connected. R-nets use simple binary neurons and trained links between excitatory and inhibitory neurons. They use inhibition to prevent neurons not associated with a recalled pattern from firing.(More)
I first describe a neural network model of associative memory in a small region of the brain. The model depends, unconventionally, on disinhibition of inhibitory links between excitatory neurons rather than long-term potentiation of excitatory projections. The model may be shown to have advantages over traditional neural network models both in terms(More)
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