A category-free neural population supports evolving demands during decision-making.
A category-free neural population supports evolving demands during decision-making.
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DOI：
10.1038/nn.3865
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发表时间：
2014-12
影响因子：
25
通讯作者：
Churchland, Anne K.
中科院分区：
文献类型：
--
作者：
Raposo, David;Kaufman, Matthew T.;Churchland, Anne K.
后顶叶皮层（PPC）接受各种各样的输入，并参与一系列令人眼花缭乱的行为。这些多重行为可能依赖于不同类别的神经元来表示特定的变量，也可能依赖于以不同方式利用的单一PPC神经元群。为了区分这些可能性，我们评估了在多感觉决策过程中记录的大鼠PPC神经元。新的测试显示，任务参数和时间反应特征在神经元之间随机分布，没有类别的证据。这表明PPC神经元构成了一个动态网络，可以根据动物当前的需求进行解码。为了测试动态网络的额外特征，我们比较了行为需求不同的时刻：决定和移动。我们新颖的状态空间分析揭示了网络在决策和运动过程中探索不同的维度。这些观察结果表明，单个神经元网络可以支持决策过程中不断变化的行为需求。
The posterior parietal cortex (PPC) receives diverse inputs and is involved in a dizzying array of behaviors. These multiple behaviors could rely on distinct categories of neurons specialized to represent particular variables or could rely on a single population of PPC neurons that is leveraged in different ways. To distinguish these possibilities, we evaluated rat PPC neurons recorded during multisensory decisions. Novel tests revealed that task parameters and temporal response features were distributed randomly across neurons, without evidence of categories. This suggests that PPC neurons constitute a dynamic network that is decoded according to the animal’s current needs. To test for an additional signature of a dynamic network, we compared moments when behavioral demands differ: decision and movement. Our novel state-space analysis revealed that the network explored different dimensions during decision and movement. These observations suggest that a single network of neurons can support the evolving behavioral demands of decision-making.
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影响因子：
5.3
作者：
El-Shamayleh, Yasmine;Kumbhani, Romesh D.;Movshon, J. Anthony
通讯作者：
Movshon, J. Anthony
影响因子：
2.5
作者：
Linden, JF;Grunewald, A;Andersen, RA
通讯作者：
Andersen, RA
影响因子：
5.5
作者：
BARLOW, HB
通讯作者：
BARLOW, HB
影响因子：
1.9
作者：
Britten, KH;Newsome, WT;Movshon, JA
通讯作者：
Movshon, JA
影响因子：
5.3
作者：
Balan, Puiu F.;Gottlieb, Jacqueline
通讯作者：
Gottlieb, Jacqueline