Task-driven neural network models predict neural dynamics of proprioceptionNeural networks optimized to perform computational tasks, which were proposed as hypotheses of the proprioceptive system, develop representations that generalize from synthetic data to predict neural dynamics in CN and S1 of primates.Neural networks optimized to perform computational tasks, which were proposed as hypotheses of the proprioceptive system, develop representations that generalize from synthetic data to predict neural dynamics in CN and S1 of primates.Alessandro Marin Vargas, Axel Bisi, Alberto S. Chiappa, Chris Versteeg, Lee E. Miller, Alexander Mathishttps://www.cell.com/cell/fulltext/S0092-8674(24)00239-3?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignMarch 22, 2024

Powered by WPeMatico