A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex.
A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex.
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DOI：
10.1016/j.neuron.2021.08.025
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发表时间：
2021-09-15
期刊：
影响因子：
16.2
通讯作者：
Jazayeri, Mehrdad
中科院分区：
文献类型：
--
作者：
Meirhaeghe, Nicolas;Sohn, Hansem;Jazayeri, Mehrdad
预测加工理论假设大脑通过计算预期来预测性地处理信息。然而，支持这一理论的经验证据很少，而且主要局限于感官领域。在这里，我们报告了一种在非人类灵长类动物的额叶皮质中的精确和适应机制，与对时间事件的预测处理一致。我们发现，神经动力学的速度是根据预期刺激的平均时间精确调整的。这种速度调整反过来又使神经元能够根据与预期的偏差对刺激进行编码。这种合法关系在多次实验中是显而易见的，并在学习过程中保持正确：当时间统计经历秘密变化时，神经反应经历了反映新平均值的可预测变化。总之，这些结果强调了环境中的时间统计和额叶皮质神经活动之间的精确数学关系，这可能是预测性时间处理的机制基础。
The theory of predictive processing posits that the brain computes expectations to process information predictively. Empirical evidence in support of this theory however is scarce and largely limited to sensory areas. Here, we report a precise and adaptive mechanism in the frontal cortex of non-human primates consistent with predictive processing of temporal events. We found that the speed of neural dynamics is precisely adjusted according to the average time of an expected stimulus. This speed adjustment, in turn, enables neurons to encode stimuli in terms of deviations from expectation. This lawful relationship was evident across multiple experiments and held true during learning: when temporal statistics underwent covert changes, neural responses underwent predictable changes that reflected the new mean. Together, these results highlight a precise mathematical relationship between temporal statistics in the environment and neural activity in the frontal cortex that may serve as a mechanistic foundation for predictive temporal processing.
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