Neuroscience and Neural Engineering

This study benchmarks spike sorting performance in the presence of spike collisions using synthetic data, finding that all methods struggle with detecting synchronous spikes from neurons with similar signals.

This study examines neural and vascular recovery in aged mice after ultraflexible electrode implantation, finding vascular remodeling precedes neural signal recovery and normalizes by six weeks.

This paper introduces a deep contractive autoencoder for online spike sorting, achieving over 90% accuracy and outperforming offline methods.

This paper introduces eSee-Shells, transparent polymer skulls with integrated electrode arrays for long-term multimodal neural recordings in mice.

The paper introduces a GUI toolkit for analyzing LFP data from HD-MEA recordings, demonstrating its utility in detecting seizure propagation in Scn1aHet mice.

This paper demonstrates a noninvasive method to stimulate peripheral nerves using temporally-interfering electrical fields, achieving effective stimulation with lower current amplitudes than traditional methods.

This paper introduces a stretchable mesh electrode system for long-term electrical interfacing with human cortical organoids, demonstrating stable performance and successful integration with neural tissue.

This paper presents a method for high-density single-unit recording in human cortex using Neuropixels probes, achieving 596 single units across 11 recordings in 8 participants.

This paper introduces a minimally invasive coaxial microprobe for multi-modal neural interfacing, enabling efficient electrical and optical interrogation with reduced inflammation.

This study evaluates how tactile percepts from intracortical microstimulation (ICMS) in the human somatosensory cortex adapt over time with different stimulation protocols.

This paper optimizes visual prosthetic stimulation using patient feedback and Bayesian optimization, improving perceived image quality in healthy subjects.

pyNeurode provides a real-time spike sorting framework for neural signals with high accuracy and scalability, supporting up to 128 channels and integrating with Open Ephys.

The paper describes a method to measure neuronal activity across a large region of the mouse superior colliculus using high-density electrodes and optogenetic tools for cell-type identification.

This paper develops a flexible microneedle electrode array for peripheral nerve recording, demonstrating reduced tissue encapsulation and chronic reactivity in rats.

The paper provides a step-by-step guide for custom-fitting implants to skulls with continuous or discontinuous surfaces, using virtual bending and CAD tools, and demonstrates its application in rhesus monkeys.

The paper introduces a new chronic implant device for mice that combines tetrode arrays and silicon probes to record layer-resolved neural activity in freely moving animals.

This paper develops a method to pattern neuronal circuits in vitro using nanoscale structures to guide synapse formation between isolated neuron groups.

The paper characterizes the short-latency neural responses to intracortical microstimulation using a multi-electrode array and describes the temporal dynamics of evoked activity.

This study shows that different ICMS pulse waveforms and frequencies activate distinct patterns of cortical neurons and neuropil in mice, with frequency-dependent effects on population activity.

This paper introduces SEEC, a method using ICMS and multi-unit recordings to assess mesoscale effective connectivity in sensorimotor cortex of squirrel monkeys, showing stable short-latency responses correlated with anatomical connections.

This paper describes a low-cost, open-source headstage system for scalable electrophysiological recordings from multiple brain regions using custom electrode arrays.

This paper introduces an automated method to reconstruct axons and estimate action-potential propagation velocities from high-density microelectrode array recordings.

The paper develops a toolbox for studying cortical physiology in non-human primates, combining optical and electrophysiological techniques to monitor and modulate cortical function.

This paper develops thin optical fibers and integration techniques to enable large-scale neuronal recordings and ultrafast optogenetic inhibition in freely moving animals.

This paper describes a method to engineer biological neural networks on high-density CMOS microelectrode arrays to improve spatial resolution and axon guidance.

This paper measures impedance of neural tissue across different preparations and shows frequency-dependent behavior that cannot be explained by resistive models, attributing it to ionic diffusion in Debye layers.

The paper compares somatosensory cortical responses from natural touch and microstimulation in macaques' ventral posterior lateral thalamus, showing high correlation between the two.

This paper describes a new high-density Neuropixels probe enabling single-cell resolution recordings from over 200 cortical neurons in humans during surgery, identifying eight distinct single unit classes.

The paper presents a method to create topologically controlled circuits of human iPSC-derived neurons for long-term electrophysiology recordings.

This paper introduces a 3D neuro-microphysiological system with microelectrodes for high-throughput electrical recording and analysis of human neurons.