Context-dependent computation by recurrent dynamics in prefrontal cortex.
Context-dependent computation by recurrent dynamics in prefrontal cortex.
复制标题
作者：
前额叶皮层被认为在灵活的、上下文相关的行为中发挥着重要作用，但这一作用背后的计算的确切性质仍然在很大程度上是个谜。特别是，单个前额叶神经元经常产生非常复杂的反应，这些反应无法深入理解它们对行为的贡献。在这里，我们研究了猴子的前额皮质，这些猴子经过训练可以灵活地选择和整合嘈杂的感官输入以做出选择。我们发现，在群体水平上展开的动态过程的框架中，观察到的单个神经元的复杂性和功能作用很容易理解。群体动态可以通过训练有素的循环神经网络来重现，这表明了一种以前未知的用于选择和整合任务相关输入的机制。这种机制意味着选择和整合是在同一前额叶回路中展开的单个动态过程的两个方面，并可能为理解上下文相关计算提供一个新颖的通用框架。
Prefrontal cortex is thought to play a fundamental role in flexible, context-dependent behavior, but the exact nature of the computations underlying this role remains largely mysterious. In particular, individual prefrontal neurons often generate remarkably complex responses that defy deep understanding of their contribution to behavior. Here we study prefrontal cortex in monkeys trained to flexibly select and integrate noisy sensory inputs towards a choice. We find that the observed complexity and functional roles of single neurons are readily understood in the framework of a dynamical process unfolding at the level of the population. The population dynamics can be reproduced by a trained recurrent neural network, which suggests a previously unknown mechanism for selection and integration of task-relevant inputs. This mechanism implies that selection and integration are two aspects of a single dynamical process unfolding within the same prefrontal circuits, and potentially provides a novel, general framework for understanding context-dependent computations.
登录
查看更多内容
影响因子：
25
作者：
Kim, JN;Shadlen, MN
通讯作者：
Shadlen, MN
影响因子：
5.7
作者：
Noudoost, Behrad;Chang, Mindy H.;Steinmetz, Nicholas A.;Moore, Tirin
通讯作者：
Moore, Tirin
影响因子：
3.5
作者：
Huk AC;Meister ML
通讯作者：
Meister ML
影响因子：
5.4
作者：
COHEN, JD;DUNBAR, K;MCCLELLAND, JL
通讯作者：
MCCLELLAND, JL
DOI：
10.1073/pnas.0804451105
发表时间：
2008-12-02
影响因子：
11.1
作者：
Ganguli, Surya;Huh, Dongsung;Sompolinsky, Haim
通讯作者：
Sompolinsky, Haim