Statistical mechanics of reward-modulated learning in decision-making networks.

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Bayesian deterministic decision making: a normative account of the operant matching law and heavy-tailed reward history dependency of choices.Dynamical regimes in neural network models of matching behavior.

P2860

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P2860

Statistical mechanics of reward-modulated learning in decision-making networks.

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2012 nî lūn-bûn

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2012年の論文

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2012年学术文章

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name

Statistical mechanics of reward-modulated learning in decision-making networks.

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Statistical mechanics of reward-modulated learning in decision-making networks.

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Statistical mechanics of reward-modulated learning in decision-making networks.

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Statistical mechanics of reward-modulated learning in decision-making networks.

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P1476

Statistical mechanics of reward-modulated learning in decision-making networks.

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P2093

Kentaro Katahira

http://www.w3.org/2001/XMLSchema#string

Masato Okada

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P2860

Linear-Nonlinear-Poisson models of primate choice dynamics

Probabilistic population codes for Bayesian decision making

Choice, uncertainty and value in prefrontal and cingulate cortex.

Robustness of learning that is based on covariance-driven synaptic plasticity.

A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback

When does reward maximization lead to matching law?

Competitive Hebbian learning through spike-timing-dependent synaptic plasticity.

On two types of deviation from the matching law: bias and undermatching.

Cascade models of synaptically stored memories.

The neural basis of decision making.

P304

1230-1270

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scholarly article

P356

10.1162/NECO_A_00264

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Kazuo Okanoya

P577

2012-02-01T00:00:00Z

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P698

22295982

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P921

Amar

Statistical mechanics of reward-modulated learning in decision-making networks.

about

P2860

P2860

Statistical mechanics of reward-modulated learning in decision-making networks.

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