Nicholas G. Hatsopoulos

The paper infers motor cortex inputs during movement tasks and finds similar encoding for initial and corrective movements despite nonidentifiability challenges.

This study shows that sensorimotor cortex maintains canonical dynamics during natural prey capture but flexibly reconfigures them for online control.

The paper develops a framework to quantify the mechanics of primate dexterous grasp by measuring contact forces, kinematics, and joint torques using an experimental apparatus and musculoskeletal modeling.

The paper shows that neural dynamics during movement are conserved across mice, monkeys, and humans, despite phylogenetic differences.

This study examines how immersive environments affect BCI performance, finding that prior experience with an environment is more important than its immersiveness for decoder performance and generalization.

The paper trains an autoregressive Transformer on neural spiking data to decode motor behavior, showing broad utility across tasks but highlighting limitations in scaling.

This study evaluates biomimetic multi-channel microstimulation for restoring high-resolution force feedback in bionic hands through somatosensory cortex stimulation.

This study investigates how microstimulation of somatosensory cortex affects motor cortex activity in paralyzed individuals, finding task-dependent spatial patterns and showing that biomimetic stimulation improves control of a virtual hand.

The paper investigates the localization of intracortical microstimulation-evoked sensations in human somatosensory cortex and demonstrates improved localization with multi-channel stimulation in a bionic hand.

This paper develops a recurrent neural network model of motor cortex to show that external inputs shape preparatory activity while recurrent connectivity dominates during movement execution.

This study shows that the spatial organization of motor cortex encoding changes dynamically during movement, with stable topographic maps near movement onset.

The paper shows that functional networks of motor cortical neurons change dynamically during movement tasks and carry behaviorally relevant information.

This paper develops a method for chronic wireless neural recordings in marmosets across multiple behaviors and brain states, validated through sensorimotor cortex activity tracking.

The paper shows that neuronal population dynamics in motor cortex differ between reaching and grasping movements, suggesting different circuit mechanisms for each task.

This study investigates how neurons in different regions of primate orofacial sensorimotor cortex encode bite force and gape during feeding, finding stronger individual neuron encoding of bite force and population-level encoding of gape.

This paper introduces a semi-automated platform for training common marmosets in-home for behavioral neuroscience studies, enabling naturalistic behavior analysis with minimal experimenter intervention.

The paper investigates neural representations of hand postures during grasping in primates, finding that somatosensory and motor cortex track multi-joint hand configurations differently than arm movements during reaching.

The paper shows that propagating patterns of cortical excitability in M1 are necessary for movement initiation and can decode muscle activity more accurately.

The paper shows non-monotonic spatial correlation structures in prefrontal cortex neurons during visual stimulation, challenging the idea of uniform spatial decay in cortical connectivity.

The paper investigates the contribution of spiking neurons to local field potentials (LFP) in human and monkey cortex, finding that LFP primarily reflects inhibitory neuron activity.