Expectation violations produce error signals in mouse V1.
Expectation violations produce error signals in mouse V1.
复制标题
违反预期会在鼠标 V1 中产生错误信号。
DOI：
10.1093/cercor/bhad163
复制
发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Gavornik,JeffreyP
中科院分区：
文献类型：
--
作者：
Price,ByronH;Jensen,CambriaM;Khoudary,AnthonyA;Gavornik,JeffreyP
重复暴露于视觉序列改变了初级视觉皮层（V1）的诱发活动形式。预测编码理论对此提供了一种可能的解释，即可塑性塑造了皮层回路以编码时空预测，随后的反应由实际输入与这些预期匹配的程度来调制。在这里，我们使用最近开发的统计建模技术，称为基于模型的有针对性的简化（MbTDR）研究视觉诱发的动态在小鼠V1的实验范例称为“序列学习”的背景下。我们报告说，诱发尖峰活动的变化显着的培训，在一般与预测编码框架一致的方式。在训练后刺激开始后的晚期窗口（100-150 ms），对预期刺激的神经反应被抑制，而对新刺激的反应则没有。用一种新的刺激代替熟悉的刺激，会导致持续至少300毫秒的放电增加。在训练过的动物中，忽略可预测的刺激也会导致在刺激开始的预期时间增加放电。最后，我们表明，尖峰数据可以用来准确地解码序列内的时间。我们的研究结果与早期视觉回路的可塑性参与编码时空信息的想法一致。
Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modulated by the degree to which actual inputs match these expectations. Here we use a recently developed statistical modeling technique called Model-Based Targeted Dimensionality Reduction (MbTDR) to study visually evoked dynamics in mouse V1 in the context of an experimental paradigm called “sequence learning.” We report that evoked spiking activity changed significantly with training, in a manner generally consistent with the predictive coding framework. Neural responses to expected stimuli were suppressed in a late window (100–150 ms) after stimulus onset following training, whereas responses to novel stimuli were not. Substituting a novel stimulus for a familiar one led to increases in firing that persisted for at least 300 ms. Omitting predictable stimuli in trained animals also led to increased firing at the expected time of stimulus onset. Finally, we show that spiking data can be used to accurately decode time within the sequence. Our findings are consistent with the idea that plasticity in early visual circuits is involved in coding spatiotemporal information.