Seo Serah, Bharmauria Vishal, Schütz Adrian, Yan Xiaogang, Wang Hongying, Crawford J Douglas
Centre for Vision Research and Centre for Integrative and Applied Neuroscience, York University, Toronto, Ontario M3J 1P3, Canada.
Centre for Vision Research and Centre for Integrative and Applied Neuroscience, York University, Toronto, Ontario M3J 1P3, Canada
eNeuro. 2024 Aug 8;11(8). doi: 10.1523/ENEURO.0413-23.2024. Print 2024 Aug.
Single-unit (SU) activity-action potentials isolated from one neuron-has traditionally been employed to relate neuronal activity to behavior. However, recent investigations have shown that multiunit (MU) activity-ensemble neural activity recorded within the vicinity of one microelectrode-may also contain accurate estimations of task-related neural population dynamics. Here, using an established model-fitting approach, we compared the spatial codes of SU response fields with corresponding MU response fields recorded from the frontal eye fields (FEFs) in head-unrestrained monkeys () during a memory-guided saccade task. Overall, both SU and MU populations showed a simple visuomotor transformation: the visual response coded target-in-eye coordinates, transitioning progressively during the delay toward a future gaze-in-eye code in the saccade motor response. However, the SU population showed additional secondary codes, including a predictive gaze code in the visual response and retention of a target code in the motor response. Further, when SUs were separated into regular/fast spiking neurons, these cell types showed different spatial code progressions during the late delay period, only converging toward gaze coding during the final saccade motor response. Finally, reconstructing MU populations (by summing SU data within the same sites) failed to replicate either the SU or MU pattern. These results confirm the theoretical and practical potential of MU activity recordings as a biomarker for fundamental sensorimotor transformations (e.g., target-to-gaze coding in the oculomotor system), while also highlighting the importance of SU activity for coding more subtle (e.g., predictive/memory) aspects of sensorimotor behavior.
单神经元活动——从单个神经元分离出的动作电位——传统上被用于将神经元活动与行为联系起来。然而,最近的研究表明,多神经元活动——在一个微电极附近记录的总体神经活动——也可能包含与任务相关的神经群体动力学的准确估计。在这里,我们使用一种既定的模型拟合方法,比较了在记忆引导扫视任务期间,从头部不受约束的猴子的额叶眼区(FEF)记录的单神经元反应场的空间编码与相应的多神经元反应场的空间编码。总体而言,单神经元和多神经元群体都表现出一种简单的视觉运动转换:视觉反应编码目标在眼中的坐标,在延迟期间逐渐转变为扫视运动反应中未来注视在眼中的编码。然而,单神经元群体还表现出额外的二级编码,包括视觉反应中的预测性注视编码和运动反应中目标编码的保留。此外,当将单神经元分为规则/快速发放神经元时,这些细胞类型在延迟后期表现出不同的空间编码进展,仅在最终扫视运动反应期间趋向于注视编码。最后,通过对同一部位的单神经元数据求和来重建多神经元群体,未能复制单神经元或多神经元的模式。这些结果证实了多神经元活动记录作为基本感觉运动转换(例如,动眼系统中的目标到注视编码)生物标志物的理论和实践潜力,同时也强调了单神经元活动对编码感觉运动行为更细微(例如,预测性/记忆性)方面的重要性。