Supervised deep machine learning models predict forelimb movement from excitatory neuronal ensembles and suggest distinct pattern of activity in CFA and RFA networks
Shahrzad Latifi, Jonathan Chang, Mehdi Pedram, Roshanak Latifikhereshki, Stanley Thomas Carmichael
The paper uses supervised deep learning models to decode forelimb movement from neuronal ensembles in CFA and RFA, finding distinct activity patterns between the two areas.
bioRxiv · Jan 30, 2024 · PreprintNeuroscience