Parag G. Patil

Functional Electrical Stimulation and Brain-Machine Interfaces for Simultaneous Control of Wrist and Finger Flexion

This study demonstrates that intramuscular FES can restore wrist and finger flexion in paralyzed monkeys, controlled by a BMI, achieving functional movement ranges and performance comparable to able-bodied control.

Exploring Synergies in Brain-Machine Interfaces: Compression vs. Performance

This study evaluates if brain and muscle synergies improve decoding performance in implanted brain-machine interfaces (iBMIs) using dimensionality reduction techniques, finding that they do not enhance performance or generalization.

Sparse neural networks enable low-power, implantable neural interfaces

This paper shows that sparse neural networks reduce power consumption in implantable BMIs by pruning decoders, enabling efficient decoding with minimal performance loss.

Artificial neural network for brain-machine interface consistently produces more naturalistic finger movements than linear methods

This study shows that artificial neural networks produce more naturalistic finger movements than linear methods in brain-machine interfaces.

Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

This study compares KalmanNet, an explainable BMI decoder, with deep-learning and Kalman filter models, finding it achieves comparable performance while offering interpretability.

The Impact of Task Context on Predicting Finger Movements in a Brain-Machine Interface

This study examines how task context affects brain-machine interface performance, finding that offline predictions are sensitive to context changes but online control remains stable.

Real-Time Brain-Machine Interface Achieves High-Velocity Prosthetic Finger Movements using a Biologically-Inspired Neural Network Decoder

This paper develops a biologically-inspired neural network decoder for real-time brain-machine interfaces, achieving faster and more natural prosthetic finger movements than existing methods.

Brain-Controlled Electrical Stimulation Restores Continuous Finger Function

This study demonstrates that a brain-controlled functional electrical stimulation system can restore continuous finger function in a paralyzed monkey, achieving high success rates with minimal training.

Stimulation of zona incerta selectively modulates pain in humans

This study investigates the effects of zona incerta stimulation on human pain perception and finds it reduces heat pain but not other sensations.