Davis Zachary W, Busch Alexandria, Stewerd Christopher, Muller Lyle, Reynolds John
The Salk Institute for Biological Studies, La Jolla, CA, USA. 92037.
Department of Ophthalmology and Visual Science, University of Utah, SLC, UT, USA 84112.
Res Sq. 2024 Jan 9:rs.3.rs-3830199. doi: 10.21203/rs.3.rs-3830199/v1.
Intrinsic, ongoing fluctuations of cortical activity form traveling waves that modulate the gain of sensory-evoked responses and perceptual sensitivity. Several lines of evidence suggest that intrinsic traveling waves (iTWs) may arise, in part, from the coordination of synaptic activity through the recurrent horizontal connectivity within cortical areas, which include long range patchy connections that link neurons with shared feature preferences. In a spiking network model with anatomical topology that incorporates feature-selective patchy connections, which we call the Balanced Patchy Network (BPN), we observe repeated iTWs, which we refer to as . In the model, motifs stem from fluctuations in the excitability of like-tuned neurons that result from shifts in E/I balance as action potentials traverse these patchy connections. To test if feature-selective motifs occur , we examined data previously recorded using multielectrode arrays in Area MT of marmosets trained to perform a threshold visual detection task. Using a newly developed method for comparing the similarity of wave patterns we found that some iTWs can be grouped into motifs. As predicted by the BPN, many of these motifs are feature selective, exhibiting direction-selective modulations in ongoing spiking activity. Further, motifs modulate the gain of the response evoked by a target and perceptual sensitivity to the target if the target matches the preference of the motif. These results provide evidence that iTWs are shaped by the patterns of horizontal fiber projections in the cortex and that patchy connections enable iTWs to regulate neural and perceptual sensitivity in a feature selective manner.
皮层活动的内在、持续波动形成行波，这些行波调节感觉诱发反应的增益和感知灵敏度。多条证据表明，内在行波（iTWs）可能部分源于通过皮层区域内的递归水平连接对突触活动的协调，其中包括将具有共享特征偏好的神经元连接起来的长程斑块状连接。在一个具有解剖拓扑结构的尖峰网络模型中，该模型纳入了特征选择性斑块状连接，我们称之为平衡斑块网络（BPN），我们观察到重复的iTWs，我们将其称为 。在该模型中，基序源于同调神经元兴奋性的波动，这种波动是由于动作电位穿过这些斑块状连接时E/I平衡的变化而产生的。为了测试特征选择性基序是否发生 ，我们检查了之前使用多电极阵列在训练有素的狨猴MT区域记录的数据，这些狨猴被训练执行阈值视觉检测任务。使用一种新开发的比较波形相似性的方法，我们发现一些iTWs可以被分组为基序。正如BPN所预测的，许多这些基序是特征选择性的，在持续的尖峰活动中表现出方向选择性调制。此外，如果目标与基序的偏好匹配，基序会调节目标诱发反应的增益和对目标的感知灵敏度。这些结果提供了证据，表明iTWs由皮层中水平纤维投射的模式塑造，并且斑块状连接使iTWs能够以特征选择性方式调节神经和感知灵敏度。
