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Trends in Neurosciences

H. J. Gamble
- 01 Dec 1980 - 
- Vol. 131, pp 731-731
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By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism

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Memory systems of the brain: A brief history and current perspective

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Synaptic depression and cortical gain control

TL;DR: Modeling work based on experimental measurements indicates that short-term depression of intracortical synapses provides a dynamic gain-control mechanism that allows equal percentage rate changes on rapidly and slowly firing afferents to produce equal postsynaptic responses.
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The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

TL;DR: An unsupervised learning algorithm for a multilayer network of stochastic neurons is described, where bottom-up "recognition" connections convert the input into representations in successive hidden layers, and top-down "generative" connections reconstruct the representation in one layer from the representations in the layer above.
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Synaptic reverberation underlying mnemonic persistent activity

TL;DR: A review of experimental and modeling work has begun to test the reverberation hypothesis at the cellular level, and insights and predictions from biophysically based models are discussed.
References
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Journal ArticleDOI

By Carrot or by Stick: Cognitive Reinforcement Learning in Parkinsonism

TL;DR: It is shown, using two cognitive procedural learning tasks, that Parkinson's patients off medication are better at learning to avoid choices that lead to negative outcomes than they are at learning from positive outcomes.
Journal ArticleDOI

Memory systems of the brain: A brief history and current perspective

TL;DR: This article traces the development of these ideas that memory is composed of multiple separate systems supported by the hippocampus and related structures, the amygdala, the neostriatum, and the cerebellum and provides a current perspective on how these brain systems operate to support behavior.
Journal ArticleDOI

Synaptic depression and cortical gain control

TL;DR: Modeling work based on experimental measurements indicates that short-term depression of intracortical synapses provides a dynamic gain-control mechanism that allows equal percentage rate changes on rapidly and slowly firing afferents to produce equal postsynaptic responses.
Journal ArticleDOI

The "Wake-Sleep" Algorithm for Unsupervised Neural Networks

TL;DR: An unsupervised learning algorithm for a multilayer network of stochastic neurons is described, where bottom-up "recognition" connections convert the input into representations in successive hidden layers, and top-down "generative" connections reconstruct the representation in one layer from the representations in the layer above.
Journal ArticleDOI

Synaptic reverberation underlying mnemonic persistent activity

TL;DR: A review of experimental and modeling work has begun to test the reverberation hypothesis at the cellular level, and insights and predictions from biophysically based models are discussed.