Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.
Learning to use working memory: a reinforcement learning gating model of rule acquisition in rats.
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DOI：
10.3389/fncom.2012.00087
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发表时间：
2012
影响因子：
3.2
通讯作者：
Bogacz R
中科院分区：
文献类型：
--
作者：
Lloyd K;Becker N;Jones MW;Bogacz R
Learning to form appropriate, task-relevant working memory representations is a complex process central to cognition. Gating models frame working memory as a collection of past observations and use reinforcement learning (RL) to solve the problem of when to update these observations. Investigation of how gating models relate to brain and behavior remains, however, at an early stage. The current study sought to explore the ability of simple RL gating models to replicate rule learning behavior in rats. Rats were trained in a maze-based spatial learning task that required animals to make trial-by-trial choices contingent upon their previous experience. Using an abstract version of this task, we tested the ability of two gating algorithms, one based on the Actor-Critic and the other on the State-Action-Reward-State-Action (SARSA) algorithm, to generate behavior consistent with the rats'. Both models produced rule-acquisition behavior consistent with the experimental data, though only the SARSA gating model mirrored faster learning following rule reversal. We also found that both gating models learned multiple strategies in solving the initial task, a property which highlights the multi-agent nature of such models and which is of importance in considering the neural basis of individual differences in behavior.
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影响因子：
1.7
作者：
Futter, JE;Aggleton, JP
通讯作者：
Aggleton, JP
影响因子：
25
作者：
Morris, Genela;Nevet, Alon;Bergman, Hagai
通讯作者：
Bergman, Hagai
DOI：
10.3758/bf03206554
发表时间：
2004-11-01
期刊：
BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS
影响因子：
--
作者：
Bogacz, R;Cohen, JD
通讯作者：
Cohen, JD
影响因子：
1.9
作者：
Baird, AL;Futter, JE;Aggleton, JP
通讯作者：
Aggleton, JP
影响因子：
3.2
作者：
Dayan P
通讯作者：
Dayan P