Layer and rhythm specificity for predictive routing.

Layer and rhythm specificity for predictive routing.
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DOI:
10.1073/pnas.2014868117
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发表时间:
2020-12-08
影响因子:
11.1
通讯作者:
Miller EK
Miller EK
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Bastos AM;Lundqvist M;Waite AS;Kopell N;Miller EK

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一个已建立的理论模型,预测编码,指出大脑不断建立环境模型(表示不断变化的预测)。大脑通过形成预测和发出偏离预测的信号(“预测错误”)来实现这一点。关于如何在大脑中实施预测编码存在各种假设。我们记录了神经尖峰和振荡与层状分辨率在网络中的皮质区作为猴子执行工作记忆任务,改变刺激的可预测性。可预测性调制的前馈/反馈流,皮质层,和用于处理视觉刺激的振荡的模式。这些数据支持预测编码的理论,但也为它的神经实现提出了一种替代模型:预测路由。在预测编码中,经验产生的预测削弱了预测刺激的前馈,同时传递了不可预测的“错误”。不同的模型表明了不同的皮层层,节奏实现了预测编码。我们记录了尖峰和局部场电位从层状电极在五个皮层区域(视觉区4 [V4],外侧顶内[LIP],后顶叶区7A,额叶眼场[FEF],和前额叶皮层[PFC]),而猴子执行的任务,调制视觉刺激的可预测性。在可预测的块,有增强的α(8至14赫兹)或β(15至30赫兹)的功率在所有领域的刺激处理和prestimulus β(15至30赫兹)的功能连接在深层的PFC到其他地区。不可预测的刺激与尖峰脉冲和伽马波段(40至90 Hz)功率/连接的增加有关,这些功率/连接通过表层皮层向前传递到皮层层级。功率和尖峰调制的可预测性是刺激特异性。LIP、FEF和PFC中的α/β功率抑制V4深层中的尖峰。区域7A独特地显示了对不可预测的刺激的高β(22至28 Hz)功率/连接的增加。这些结果激发了一个概念模型,预测路由。这表明,预测编码可以通过低频α/β节律来实现,低频α/β节律通过抑制前馈γ节律和相关尖峰来“准备”处理预测输入的通路。
An established theoretical model, predictive coding, states that the brain is constantly building models (signifying changing predictions) of the environment. The brain does this by forming predictions and signaling sensory inputs which deviate from predictions (“prediction errors”). Various hypotheses exist about how predictive coding could be implemented in the brain. We recorded neural spiking and oscillations with laminar resolution in a network of cortical areas as monkeys performed a working memory task with changing stimulus predictability. Predictability modulated the patterns of feedforward/feedback flow, cortical layers, and oscillations used to process a visual stimulus. These data support the theory of predictive coding but suggest an alternate model for its neural implementation: predictive routing. In predictive coding, experience generates predictions that attenuate the feeding forward of predicted stimuli while passing forward unpredicted “errors.” Different models have suggested distinct cortical layers, and rhythms implement predictive coding. We recorded spikes and local field potentials from laminar electrodes in five cortical areas (visual area 4 [V4], lateral intraparietal [LIP], posterior parietal area 7A, frontal eye field [FEF], and prefrontal cortex [PFC]) while monkeys performed a task that modulated visual stimulus predictability. During predictable blocks, there was enhanced alpha (8 to 14 Hz) or beta (15 to 30 Hz) power in all areas during stimulus processing and prestimulus beta (15 to 30 Hz) functional connectivity in deep layers of PFC to the other areas. Unpredictable stimuli were associated with increases in spiking and in gamma-band (40 to 90 Hz) power/connectivity that fed forward up the cortical hierarchy via superficial-layer cortex. Power and spiking modulation by predictability was stimulus specific. Alpha/beta power in LIP, FEF, and PFC inhibited spiking in deep layers of V4. Area 7A uniquely showed increases in high-beta (∼22 to 28 Hz) power/connectivity to unpredictable stimuli. These results motivate a conceptual model, predictive routing. It suggests that predictive coding may be implemented via lower-frequency alpha/beta rhythms that “prepare” pathways processing-predicted inputs by inhibiting feedforward gamma rhythms and associated spiking.
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