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眶额皮质群体中的异质价值编码。

Heterogeneous value coding in orbitofrontal populations.

机构信息

Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai.

出版信息

Behav Neurosci. 2021 Apr;135(2):245-254. doi: 10.1037/bne0000457.

DOI:10.1037/bne0000457
PMID:34060877
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8175004/
Abstract

Value signals in the brain are important for learning, decision-making, and orienting behavior toward relevant goals. Although they can play different roles in behavior and cognition, value representations are often considered to be uniform and static signals. Nonetheless, contextual and mixed representations of value have been widely reported. Here, we review the evidence for heterogeneity in value coding and dynamics in the orbitofrontal cortex. We argue that this diversity plays a key role in the representation of value itself and allows neurons to integrate value with other behaviorally relevant information. We also discuss modeling approaches that can dissociate potential functions of heterogeneous value codes and provide further insight into its importance in behavior and cognition. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

摘要

大脑中的价值信号对于学习、决策和引导行为朝向相关目标非常重要。尽管它们在行为和认知中可能发挥不同的作用,但价值表现通常被认为是统一和静态的信号。尽管如此,价值的上下文和混合表示已经被广泛报道。在这里,我们回顾了眶额皮层中价值编码和动态异质性的证据。我们认为,这种多样性在价值本身的表示中起着关键作用,并允许神经元将价值与其他行为相关的信息整合起来。我们还讨论了可以区分异构价值代码潜在功能的建模方法,并进一步深入了解其在行为和认知中的重要性。

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Heterogeneous value coding in orbitofrontal populations.眶额皮质群体中的异质价值编码。
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Cognitive strategies shift information from single neurons to populations in prefrontal cortex.认知策略将信息从单个神经元转移到前额叶皮层的神经元群体。
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本文引用的文献

1
Emergence of Nonlinear Mixed Selectivity in Prefrontal Cortex after Training.前额叶皮层在训练后出现非线性混合选择性。
J Neurosci. 2021 Sep 1;41(35):7420-7434. doi: 10.1523/JNEUROSCI.2814-20.2021. Epub 2021 Jul 22.
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Neural state space alignment for magnitude generalization in humans and recurrent networks.用于人类和递归网络中幅度泛化的神经状态空间对准。
Neuron. 2021 Apr 7;109(7):1214-1226.e8. doi: 10.1016/j.neuron.2021.02.004. Epub 2021 Feb 23.
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Value and choice as separable and stable representations in orbitofrontal cortex.价值和选择作为眶额皮质中可分离和稳定的表现形式。
Nat Commun. 2020 Jul 10;11(1):3466. doi: 10.1038/s41467-020-17058-y.
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Stable and dynamic representations of value in the prefrontal cortex.前额叶皮层中价值的稳定和动态表现。
Elife. 2020 Jul 6;9:e54313. doi: 10.7554/eLife.54313.
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Time-invariant working memory representations in the presence of code-morphing in the lateral prefrontal cortex.在外侧前额叶皮层存在代码变形的情况下,工作记忆表示是时不变的。
Nat Commun. 2019 Nov 1;10(1):4995. doi: 10.1038/s41467-019-12841-y.
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Distinct role of flexible and stable encodings in sequential working memory.灵活和稳定编码在序列工作记忆中的不同作用。
Neural Netw. 2020 Jan;121:419-429. doi: 10.1016/j.neunet.2019.09.034. Epub 2019 Sep 28.
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Circuit mechanisms for the maintenance and manipulation of information in working memory.工作记忆中信息的维持和操作的电路机制。
Nat Neurosci. 2019 Jul;22(7):1159-1167. doi: 10.1038/s41593-019-0414-3. Epub 2019 Jun 10.
8
A diverse range of factors affect the nature of neural representations underlying short-term memory.多种因素影响短期记忆的神经表象的本质。
Nat Neurosci. 2019 Feb;22(2):275-283. doi: 10.1038/s41593-018-0314-y. Epub 2019 Jan 24.
9
Encoding of Multiple Reward-Related Computations in Transient and Sustained High-Frequency Activity in Human OFC.人类眶额皮层中瞬态和持续高频活动中多重奖励相关计算的编码。
Curr Biol. 2018 Sep 24;28(18):2889-2899.e3. doi: 10.1016/j.cub.2018.07.045. Epub 2018 Sep 13.
10
Dynamic population coding and its relationship to working memory.动态群体编码及其与工作记忆的关系。
J Neurophysiol. 2018 Nov 1;120(5):2260-2268. doi: 10.1152/jn.00225.2018. Epub 2018 Sep 12.