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Short-term memory traces for action bias in human reinforcement learning.

Short-term memory traces for action bias in human reinforcement learning. Research Abstract Details 

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  • Short-term memory traces for action bias in human reinforcement learning. Abstract Text:

    rafal bogaczRafal Bogacz,samuel m mcclureSamuel M McClure,jian liJian Li,jonathan d cohenJonathan D Cohen,p read montagueP Read Montague,rafal bogaczRafal Bogacz,samuel m mcclureSamuel M McClure,jian liJian Li,jonathan d cohenJonathan D Cohen,p read montagueP Read Montague,

    Recent experimental and theoretical work on reinforcement learning has shed light on the neural bases of learning from rewards and punishments. One fundamental problem in reinforcement learning is the credit assignment problem, or how to properly assign credit to actions that lead to reward or punishment following a delay. Temporal difference learning solves this problem, but its efficiency can be significantly improved by the addition of eligibility traces (ET). In essence, ETs function as decaying memories of previous choices that are used to scale synaptic weight changes. It has been shown in theoretical studies that ETs spanning a number of actions may improve the performance of reinforcement learning. However, it remains an open question whether including ETs that persist over sequences of actions allows reinforcement learning models to better fit empirical data regarding the behaviors of humans and other animals. Here, we report an experiment in which human subjects performed a sequential economic decision game in which the long-term optimal strategy differed from the strategy that leads to the greatest short-term return. We demonstrate that human subjects' performance in the task is significantly affected by the time between choices in a surprising and seemingly counterintuitive way. However, this behavior is naturally explained by a temporal difference learning model which includes ETs persisting across actions. Furthermore, we review recent findings that suggest that short-term synaptic plasticity in dopamine neurons may provide a realistic biophysical mechanism for producing ETs that persist on a timescale consistent with behavioral observations.

    Short-term memory traces for action bias in human reinforcement learning. Publishing Authors By Initials

    r bogaczR Bogacz,sm mcclureSM McClure,j liJ Li,jd cohenJD Cohen,pr montaguePR Montague,r bogaczR Bogacz,sm mcclureSM McClure,j liJ Li,jd cohenJD Cohen,pr montaguePR Montague,

    For similar abstracts research abstracts see: abstracts research

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    Short-term memory traces for action bias in human reinforcement learning. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Brain research

    VOLUME: 1153

    Page Numbers: 111-21

    Journal Abbreviation: Brain Res.

    ISSN: 0006-8993

    DAY: 24

    MONTH: 03

    YEAR: 2007

    Short-term memory traces for action bias in human reinforcement learning. Information

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    LANGUAGE: eng

    NlmUniqueID: 45503

    Short-term memory traces for action bias in human reinforcement learning. Keywords Mesh Terms:

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    Grant and Affiliation Information for Short-term memory traces for action bias in human reinforcement learning.

    AFFILIATION: Center for the Study of Brain, Mind and Behavior, Princeton University, Princeton, NJ 08544, USA. R.Bogacz@bristol.ac.uk

    Country: Netherlands

    Netherlands Research PublicationNetherlands Research Publication

    AGENCY: United States NIMH

    GRANT: P50 MH62196

    ACRONYM: MH

    MEDLINETA: Brain Res

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