Alexa Riehle C

This study investigates how fronto-parietal interactions support different motor strategies during sequential reaching in rhesus macaques, finding bidirectional information transfer between parietal and motor areas.

The paper identifies and removes hyper-synchronous artifacts in electrophysiological recordings using zero-phase component analysis.

The paper shows that spontaneous spiking statistics uniquely identify cortical areas and correlate with their hierarchical position in the cerebral cortex.

The paper shows that target information modulates neural and behavioral variability in motor cortex through a spiking attractor model, explaining reaction time and variability patterns in monkeys.

This study compares deep reinforcement learning models with monkey behavior in a reaching task, showing convergence toward optimal motor paths and revealing sub-optimal trade-offs in movement duration and energy cost.

The paper investigates how motor cortex activity patterns enable parallel movement planning in non-human primates and finds that preparatory activity adjusts within an optimal subspace to balance multiple movements.

The paper shows that heterogeneous local connectivity enables complex long-range coordination in neuronal networks, explaining covariance patterns in motor cortex during rest and task.

The paper analyzes resting state spiking activity in monkey motor cortex, finding higher dimensionality, lower firing rates, and less excitation-inhibition balance compared to task-related states.

The paper investigates whether LFP beta oscillation amplitude correlates with neuronal firing rate in monkey motor cortex and concludes no intrinsic relationship exists beyond task-related modulations.

The paper analyzes trial-to-trial and within-trial variability in monkey motor cortex during movement preparation and execution, finding distinct patterns in spike count variability and spike timing irregularity.