Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior.
Information-processing dynamics in neural networks of macaque cerebral cortex reflect cognitive state and behavior.
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DOI：
10.1073/pnas.2207677120
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发表时间：
2023-01-10
影响因子：
11.1
通讯作者：
中科院分区：
文献类型：
--
作者：
说大脑“处理信息”是什么意思？科学家们经常从信息处理的角度来讨论大脑--动物通过感官从环境中获取信息，并利用这些信息来决定如何在世界上行动。在这项工作中，我们使用一个名为信息论的数学框架来探索来自环境的信号如何影响大脑活动，以及大脑活动如何反过来影响行为。我们发现，不同的大脑区域以动态和灵活的方式处理信息，信号在感觉运动处理的层次结构中上下流动，取决于瞬间的需求。这表明大脑中的“计算”可以反映复杂的行为和认知状态。生物神经网络的基本功能之一是信息处理。这包括从处理感官信息到感知环境，到处理运动信息以与环境互动的一切。由于方法的限制，信息处理在不同的认知或行为状态下如何变化，以及信息在不同脑区的神经元网络内或之间处理的程度一直不清楚。在这项研究中，我们利用信息动力学计算的最新进展来探索在三只猕猴执行的延迟抓取任务中，额顶区AIP、F5和M1内部和之间的神经水平处理。虽然在任务的所有认知和行为状态下，所有区域的信息加工都很高，但区域间加工差异很大：在视觉运动转换过程中，AIP和F5形成了一个相互连接的加工单位，而在记忆期间，区域之间没有加工。所有区域的运动执行都是全局处理的，其中反馈方向的处理占优势。此外，尽管存在的总信息量没有差异，但精细网络结构在神经元水平上重新配置，以响应不同的掌握条件。这些结果表明，区域根据认知或行为需求动态地形成更高级别的加工单元，信息加工网络在神经元水平上是层次化的，粗略的网络结构决定行为状态，细微的变化反映不同的条件。
What does it mean to say that the brain “processes information?” Scientists often discuss the brain in terms of information processing—animals take in information from their environment through their senses and use it to make decisions about how to act in the world. In this work, we use a mathematical framework called information theory to explore how signals from the environment influence brain activity and how brain activity in turn informs on behaviors. We found that different brain regions process information in dynamic and flexible ways, with signals flowing up and down the hierarchy of sensorimotor processing depending on the demands of the moment. This shows how “computation” in the brain can reflect complex behaviors and cognitive states. One of the essential functions of biological neural networks is the processing of information. This includes everything from processing sensory information to perceive the environment, up to processing motor information to interact with the environment. Due to methodological limitations, it has been historically unclear how information processing changes during different cognitive or behavioral states and to what extent information is processed within or between the network of neurons in different brain areas. In this study, we leverage recent advances in the calculation of information dynamics to explore neural-level processing within and between the frontoparietal areas AIP, F5, and M1 during a delayed grasping task performed by three macaque monkeys. While information processing was high within all areas during all cognitive and behavioral states of the task, interareal processing varied widely: During visuomotor transformation, AIP and F5 formed a reciprocally connected processing unit, while no processing was present between areas during the memory period. Movement execution was processed globally across all areas with predominance of processing in the feedback direction. Furthermore, the fine-scale network structure reconfigured at the neuron level in response to different grasping conditions, despite no differences in the overall amount of information present. These results suggest that areas dynamically form higher-order processing units according to the cognitive or behavioral demand and that the information-processing network is hierarchically organized at the neuron level, with the coarse network structure determining the behavioral state and finer changes reflecting different conditions.
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影响因子：
3.7
作者：
Felleman, Daniel J.;Van Essen, David C.
通讯作者：
Van Essen, David C.
DOI：
10.1007/978-3-642-53734-9_5
发表时间：
2014-01-01
期刊：
GUIDED SELF-ORGANIZATION: INCEPTION
影响因子：
--
作者：
Lizier, Joseph T.;Prokopenko, Mikhail;Zomaya, Albert Y.
通讯作者：
Zomaya, Albert Y.
影响因子：
16.6
作者：
Lara AH;Cunningham JP;Churchland MM
通讯作者：
Churchland MM
影响因子：
3.3
作者：
He F;Yang Y
通讯作者：
Yang Y
影响因子：
7.7
作者：
Dann, Benjamin;Michaels, Jonathan A.;Scherberger, Hansjoerg
通讯作者：
Scherberger, Hansjoerg