Manifold properties in the macaque medial premotor cortex during switching from attending to tapping to a metronome
Dotov, D.; Betancourt, A.; Gamez, J.; Merchant, H.
Show abstract
Animals synchronize their movements with external rhythms to coordinate perception and action, but the neural population mechanisms that allow them to attend and then initiate and sustain these rhythms remain unclear. Using high-density recordings from the medial premotor cortex (MPC) of two macaque monkeys, we investigated neural dynamics during an attend-then-synchronize tapping task with visual metronomes. We found low-dimensional neural manifolds that capture neural population trajectories. During the attention phase, trajectories exhibited increasing amplitude and oscillatory modulation along successive stimuli, consistent with a resonant-like mechanism. Transition to tapping was marked by a reliable shift into a distinct manifold subspace, enabling accurate decoding of the switch in behavior. In addition, large amplitude and oscillatory indices were higher in successful tapping synchronization trials than in incorrect ones. These findings demonstrate that macaque MPC activity evolves along smooth, low-dimensional trajectories whose geometry governs different perceptual and motor aspects of tapping synchronization.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Neural Dynamics Underlying False Alarms in Extrastriate Cortex 96%
- Trial-to-trial variability of spiking delay activity in prefrontal cortex constrains burst-coding models of working memory 95%
- Broadband Signal Rather than Frequency-Specific Rhythms Underlie Prediction Error in the Primate Auditory Cortex 95%
Similar papers in this journal
- A geometric characterization of population coding in the prefrontal cortex and hippocampus during a paired-associate learning task 96%
- Bilateral field advantage of spatial attention in macaque lateral prefrontal cortex 95%
- Leveraging spiking deep neural networks to understand the neural mechanisms underlying selective attention 94%
Similar papers in this journal
Similar papers in this journal
- Distributed coding of evidence accumulation across the mouse brain using microcircuits with a diversity of timescales 96%
- The neural and computational architecture of feedback dynamics in mouse cortex during stimulus report 95%
- Population coupling of V1 and V4 neurons and its relation to local cortical state fluctuations and attention in macaque monkey 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.