Nishal P. Shah

Leveraging current steering and the biophysics of spike generation for cellular-resolution electrical stimulation of neurons

This study develops a framework for cellular-resolution electrical stimulation of neurons using current steering and biophysical models, demonstrating its effectiveness in targeting retinal ganglion cells.

Improved interpretability in LFADS models using a learned, context-dependent per-trial bias

This paper improves the interpretability of LFADS models by introducing a per-trial bias, enabling simpler contextual dynamics and better analysis of neural activity in simulated and real data.

Gesture encoding in human left precentral gyrus neuronal ensembles

This study analyzes neural activity in the precentral gyrus of two spinal cord injury patients to classify hand gestures with 70% accuracy, showing potential for intracortical BCI applications.

Decomposition of retinal ganglion cell electrical images for cell type and functional inference

The paper decomposes retinal ganglion cell electrical images to infer cell types and functional properties using a novel optimization-based algorithm.

Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex

The paper shows that neural activity in human premotor cortex combines finger movements through pseudo-linear summation, with deviations that improve decoding performance.

Fixational Eye Movements Enhance the Precision of Visual Information Transmitted by the Primate Retina

This study shows fixational eye movements improve retinal signal precision by enhancing spike timing and cell interactions in macaque retinas.

Precise control of neural activity using dynamically optimized electrical stimulation

This paper introduces a dynamically optimized electrical stimulation method to enhance neural activity control in retinal implants, showing improved visual stimulus reconstruction compared to static methods.

A flexible intracortical brain-computer interface for typing using finger movements

This paper develops a flexible intracortical BCI for typing using finger movements, achieving high accuracy and speed in two typing paradigms.

Inferring light responses of primate retinal ganglion cells using intrinsic electrical signatures

The paper infers light responses of primate retinal ganglion cells using electrical features, achieving moderate correlation with measured firing rates.

Inference of Electrical Stimulation Sensitivity from Recorded Activity of Primate Retinal Ganglion Cells

The paper infers electrical stimulation sensitivity of primate retinal ganglion cells from their recorded activity, showing that electrode features and cell compartmental differences affect stimulation thresholds.

Focal Electrical Stimulation of Human Retinal Ganglion Cells for Vision Restoration

This study demonstrates that high-fidelity electrical stimulation of human retinal ganglion cells is achievable with extracellular stimulation, validated through ex vivo experiments and comparison to macaque retina results.

Individual variability of neural computations in the primate retina

The paper examines individual variability in neural computations of the primate retina using machine learning and finds sex-based differences in firing rates and temporal integration.

Reconstruction of natural images from responses of primate retinal ganglion cells

The paper reconstructs natural images from primate retinal ganglion cell responses, showing that optimal filters reflect image statistics and include contributions from nearby cells.

Functional Organization of Midget and Parasol Ganglion Cells in the Human Retina

The paper compares functional properties of major retinal ganglion cell types between humans and macaques using similar experimental methods, finding close parallels in their responses and organization.

Inference of Nonlinear Spatial Subunits by Spike-Triggered Clustering in Primate Retina

The paper introduces a method to infer nonlinear spatial subunits in primate retina using spike-triggered clustering, showing improved response prediction with subunit models in both natural and controlled stimuli.

Unusual physiological properties of two ganglion cell types in primate retina

The paper investigates the unique physiological properties of ON and OFF smooth monostratified ganglion cells in primate retinas, revealing nonlinear subunit properties and dendritic contributions to their receptive field structure.

Learning a neural response metric for retinal prosthesis

The paper learns a neural response metric from retinal ganglion cell data to improve retinal prosthesis performance by better matching artificial and natural visual signals.