Neuroscience and Neural Engineering

This study classifies neuron cell types and subtypes from extracellular recordings using machine learning algorithms, achieving high accuracy in single-channel and multi-channel data.

The paper establishes a neural circuit model involving inductance to explain neural network behavior and derives the strength-duration relationship.

This study measures brain penetration forces and tissue compression using microscale probes to inform better brain-machine interface design.

The paper introduces a mesoscale electrode array for epicortical recordings that selectively captures synchronized spiking activity, improving signal quality and reducing noise compared to intracortical recordings.

MATLAB tool registers histology slices to the Allen Mouse Brain Atlas and traces electrode tracks across them, reported to localize recording sites more accurately than eyeballing the atlas.

This study shows that high temporal sub-millisecond stimulation improves discrimination performance in retinal prosthetics compared to conventional frame rates.

This study investigates how electrode impedance affects extracellular spike recordings and finds that within standard ranges, impedance does not significantly impact data quality or spike sorting.

This paper develops an ultralight head-mounted camera system for monitoring behavior and electrophysiology in freely moving mice, showing correlations between eye position, whisking, and neural activity.

D.sort is a spike sorting tool that uses template matching and normalization to improve accuracy in detecting and clustering neuronal spikes across different recording conditions.

This study introduces TMFPMS, a noninvasive neurostimulation technique with high spatial resolution, and demonstrates its ability to steer stimulation with mm-level precision.

The paper presents a multiscale simulator for peripheral nerve signaling that integrates biophysical axon models with extracellular space models to predict signal shapes and stimulation thresholds.

The paper uses t-SNE to visualize and cluster extracellular spike data from neural recordings, showing it can identify single units and improve sorting efficiency.

The paper quantifies how blanking during electrical stimulation affects spike train statistics, finding up to 27% spike loss at 130 Hz and 2 ms blanking window.

This study compares manual and KiloSort-based sorting of single-unit activity from midbrain recordings, finding KiloSort to be equally accurate but more efficient.

This study investigates how human observers perceive phosphenes from multiple electrode stimulations in visual cortex, finding that patterns can be reliably perceived with electrodes spaced millimeters apart.

This paper demonstrates the use of multi-electrode arrays to record action potential propagation in single axons, revealing insights into axonal physiology and excitability changes over time.

MEA Viewer provides a high-performance interactive tool for visualizing electrophysiological data from multi-electrode arrays, enabling direct visualization of action potential propagation.

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.

ERAASR removes electrical stimulation artifacts from multielectrode array recordings, improving the detection of spiking activity in neural data.

This paper introduces fluidic microdrives to implant and actuate ultra-flexible neural electrodes with minimal tissue damage and high precision.

The paper develops a Gaussian Process model to cancel electrical stimulation artifacts and detect neural spikes in multi-electrode recordings, achieving low error rates and real-time compatibility.

The paper shows that chronic implantation of microelectrodes, but not electrical stimulation, causes c-fos expression in surrounding neurons in rats.

The paper describes a simplified electronic circuit for combined single-cell stimulation and recording using loose cell-attached electrodes, enabling efficient neuronal pair studies.

This paper describes a method to assemble carbon fiber electrodes on a flexible polyimide substrate for high-density neural recording and stimulation in peripheral nerves.

This paper introduces a hyperdrive microelectrode array for simultaneous multi-site electrophysiological recording and wide-field optical imaging in mouse cortex, demonstrating its use in analyzing local and global cortical activity.

pulse2percept simulates the perceptual experience of retinal prosthesis patients to aid in the development of visual prostheses.

This paper introduces a spike sorting method using a mixture of drifting t-distributions, showing improved robustness and accuracy for chronic extracellular recordings.

A dense multi-electrode array spike sorter that triages collisions, clusters clean waveforms with a coreset Dirichlet process mixture, then deconvolves, giving more stable clusters and faster template learning than KiloSort.

The paper introduces a new method for segmenting axons from HDMEA data and analyzes neuronal network connectivity, finding that one third of connections are putative chemical synapses and no polychronisation is observed.

The paper demonstrates real-time decoding of bladder pressure from pelvic nerve activity using spectral analysis and linear filtering techniques.