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
中科院分区:
文献类型:
--
作者:
Francis NA;Winkowski DE;Sheikhattar A;Armengol K;Babadi B;Kanold PO
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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