Small Networks Encode Decision-Making in Primary Auditory Cortex.

Small Networks Encode Decision-Making in Primary Auditory Cortex.
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DOI:
10.1016/j.neuron.2018.01.019
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发表时间:
2018-02-21
期刊:
影响因子:
16.2
通讯作者:
Kanold PO
Kanold PO
中科院分区:
医学1区
文献类型:
--
作者:
Francis NA;Winkowski DE;Sheikhattar A;Armengol K;Babadi B;Kanold PO

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感觉检测任务增强了初级听觉皮质(A1)对行为有意义刺激的表征。然而,目前尚不清楚A1是如何编码决策的。A1层2/3(L2/3)的神经元表现出异质性的刺激选择性,复杂的解剖连接,并接受来自前额叶皮质的输入。因此,A1 L2/3中活动的任务相关调节可能因亚群而不同。为了研究决策的神经编码,我们在执行音调检测任务的A1 L2/3小鼠中使用了双光子成像。对目标的神经反应显示出注意力的增加和编码的行为选择。为了表征行为选择的网络表征,我们使用格兰杰因果关系、成对噪声相关性和神经解码来分析功能连通性。在任务执行过程中,由4-5个神经元组成的小组变得稀疏连接、局部聚集和空间定向,而噪声相关性既增加又减少。我们的结果表明,基于感觉的决策涉及到由感觉输入、注意力获取和行为选择的总和驱动的小型神经网络。Francis等人使用双光子成像技术研究了听觉皮质决策的神经编码。神经活动表现为注意力获得和编码的行为选择。较小的神经元网络可以预测行为选择。在目标识别过程中,功能连接变得稀疏、吻尾定向和局部聚集。
Sensory detection tasks enhance representations of behaviorally meaningful stimuli in primary auditory cortex (A1). However, it remains unclear how A1 encodes decision-making. Neurons in A1 layer 2/3 (L2/3) show heterogeneous stimulus selectivity, complex anatomical connectivity, and receive input from prefrontal cortex. Thus, task-related modulation of activity in A1 L2/3 might differ across subpopulations. To study the neural coding of decision-making, we used 2-photon imaging in A1 L2/3 of mice performing a tone detection task. Neural responses to targets showed attentional gain and encoded behavioral choice. To characterize network representation of behavioral choice, we analyzed functional connectivity using Granger causality, pairwise noise correlations, and neural decoding. During task performance, small groups of 4–5 neurons became sparsely linked, locally clustered, and spatially oriented, while noise correlations both increased and decreased. Our results suggest that sensory-based decision-making involves small neural networks driven by the sum of sensory input, attentional gain, and behavioral choice. Francis et al studied the neural coding of decision-making in auditory cortex using 2-photon imaging. Neural activity showed attentional gain and encoded behavioral-choice. Small neuronal networks predicted behavioral-choice. Functional connectivity became sparse, rostro-caudally oriented, and locally clustered during target recognition.
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