Neural Representation and Causal Models in Motor Cortex

作者：Chaisanguanthum Kris S; Shen Helen H; Sabes Philip N^*

来源：Journal of Neuroscience, 2017, 37(12): 3413-3424.

DOI：10.1523/JNEUROSCI.1000-16.2017

• computational model
• electrophysiology
• macaque
• motor cortex
• reaching
• variability

Dorsal premotor (PMd) and primary motor (M1) cortices play a central role in mapping sensation to movement. Many studies of these areas have focused on correlation-based tuning curves relating neural activity to task or movement parameters, but the link between tuning and movement generation is unclear. We recorded motor preparatory activity from populations of neurons in PMd/M1 as macaque monkeys performed a visually guided reaching task and show that tuning curves for sensory inputs (reach target direction) and motor outputs (initial movement direction) are not typically aligned. We then used a simple, causal model to determine the expected relationship between sensory and motor tuning. The model shows that movement variability is minimized when output neurons (those that directly drive movement) have target and movement tuning that are linearly related across targets and cells. In contrast, for neurons that only affect movement via projections to output neurons, the relationship between target and movement tuning is determined by the pattern of projections to output neurons and may even be uncorrelated, as was observed for the PMd/M1 population as a whole. We therefore determined the relationship between target and movement tuning for subpopulations of cells defined by the temporal duration of their spike waveforms, which may distinguish cell types. We found a strong correlation between target and movement tuning for only a subpopulation of neurons with intermediate spike durations (trough-to-peak similar to 350 mu s after high-pass filtering), suggesting that these cells have the most direct role in driving motor output.

• 出版日期2017-3-22