Silvestro Micera

The paper proposes a unified neurocomputational framework linking sense of agency and closed-loop motor control through a Bayesian model of self-causation probability.

This study decodes peripheral stimulation from spinal and cortical recordings, showing that spinal signals provide complementary information to cortical EEG for mixed stimulation tasks.

This study decodes simultaneous motor execution and imagination using ECoG signals by identifying orthogonal neural subspaces.

The paper develops a semi-analytic model to simulate compound action potentials in complex nerves and validates it against in vivo measurements, showing how fascicle activation affects signal shape and magnitude.

This study combines gamma neuromodulation and robotic rehabilitation to restore gamma function and improve motor recovery in stroke mice.

The paper compares statistical models to distinguish lexical and syntactic processing in EEG data from language comprehension.

The paper uses event-related causality from SEEG recordings to distinguish neural processing of verb and noun phrases during syntactic analysis.

This study shows immersive virtual reality disrupts head-trunk coordination in 6-8-year-olds by forcing a segmental strategy, suggesting immaturity in postural control.

This paper models low-intensity focused ultrasound's ability to selectively recruit myelinated or unmyelinated nerve fibers through parametric sub-spaces and membrane electromechanical coupling differences.

This study develops a decoding algorithm to identify cardiovascular and respiratory changes from vagus nerve signals in pigs, achieving high accuracy and introducing a new performance index.

The paper introduces a psychometric platform to standardize the assessment of somatosensory sensations in neuroprosthetics, validated with amputees using implanted nerve interfaces.

Recordings from four monkeys handling objects place input-driven activity in one putative somatosensory-feedback subspace of motor cortex, prominent around error correction and probed by stimulating ascending tracts.

This study integrates experimental and computational models of motor control and recovery after stroke to improve experimental design through continuous data integration and simulation.

The paper uses SEEG recordings to show different electrophysiological responses to verb and noun phrases, suggesting distinct neural correlates for syntax.

This study identifies that combined optogenetic stimulation and motor training restores pre-stroke motor-evoked cortical activity, distinguishing it as the most effective post-stroke rehabilitation therapy.

The paper introduces a robotic platform for monitoring sensorimotor signals during natural reaching and grasping tasks in monkeys, demonstrating its use in kinematic studies, neural recordings, and brain-computer interface development.

The paper analyzes single neuron activity in the subthalamic nucleus of Tourette Syndrome patients during DBS procedures, finding higher bursting activity compared to Parkinson's Disease patients.

The paper investigates the electrophysiological correlates of syntactic structures by comparing noun phrases (NPs) and verb phrases (VPs) using homophonous phrases and SEEG recordings.

This paper demonstrates a closed-loop hand prosthesis that provides simultaneous intraneural tactile and position feedback to trans-radial amputees, achieving high accuracy in proprioception and object discrimination.

The paper evaluates red-shifted GECIs for in vivo imaging of cortical neuronal activity during motor tasks in mice, finding jRCaMP1a suitable for longitudinal monitoring.

This study shows rehabilitation promotes recovery of both structural and functional features of healthy neuronal networks after stroke in mice.