Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex.
Initial conditions combine with sensory evidence to induce decision-related dynamics in premotor cortex.
复制标题
初始条件与感官证据相结合，以诱导前皮层中的决策相关动力学。
DOI：
10.1038/s41467-023-41752-2
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发表时间：
2023-10-16
影响因子：
16.6
通讯作者：
Chandrasekaran, Chandramouli
中科院分区：
文献类型：
--
作者：
Boucher, Pierre O.;Wang, Tian;Carceroni, Laura;Kane, Gary;Shenoy, Krishna V.;Chandrasekaran, Chandramouli
我们使用动力系统的视角来理解与决策相关的神经活动，这是一个根本上尚未解决的问题。这种观点认为，时变神经活动由具有初始条件的状态方程描述，并通过在每个时间步、循环活动和输入相结合而随时间演化。我们假设了各种决策的动态机制，在模型中对其进行模拟以得出预测，并通过检查执行感知决策任务的猴子的背侧前运动皮层（PMd）神经元的放电率来评估这些预测。刺激前神经活动（即初始条件）预测刺激后神经轨迹，与 RT 和先前试验的结果协变，但不与选择相关。刺激后动力学取决于感官证据和初始条件，更容易的刺激和快速的初始条件导致最快的选择相关动力学。总之，这些结果表明初始条件与感官证据相结合可诱导 PMd 的决策相关动态。目前尚不清楚为什么即使感官输入相似，某些决策也比其他决策需要更长的时间。在这里，作者表明，初始神经状态和感觉输入在前运动皮层中相结合，影响决策过程中神经群体活动的速度和几何结构。
We used a dynamical systems perspective to understand decision-related neural activity, a fundamentally unresolved problem. This perspective posits that time-varying neural activity is described by a state equation with an initial condition and evolves in time by combining at each time step, recurrent activity and inputs. We hypothesized various dynamical mechanisms of decisions, simulated them in models to derive predictions, and evaluated these predictions by examining firing rates of neurons in the dorsal premotor cortex (PMd) of monkeys performing a perceptual decision-making task. Prestimulus neural activity (i.e., the initial condition) predicted poststimulus neural trajectories, covaried with RT and the outcome of the previous trial, but not with choice. Poststimulus dynamics depended on both the sensory evidence and initial condition, with easier stimuli and fast initial conditions leading to the fastest choice-related dynamics. Together, these results suggest that initial conditions combine with sensory evidence to induce decision-related dynamics in PMd. It remains unclear why some decisions take longer than others even when the sensory inputs are similar. Here, the authors show that both initial neural state and sensory input combine in the premotor cortex to influence the speed and geometry of neural population activity during decisions.
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