Neuroscience and Neural Engineering

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.

The paper introduces a tool for aligning electrode tracks with histology and electrophysiological data across species, improving brain area assignment for neurons.

The paper demonstrates functional connectivity between human cortical organoids and mouse visual cortex using transparent graphene microelectrodes and two-photon imaging.

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 paper introduces an automated method to detect extracellular action potentials from individual neurons, insensitive to waveform changes, enabling high-content screening with MEAs.

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 identifies systematic measurement errors in MEA recordings and shows how they affect data interpretation, proposing methods for detection and correction.

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.

The paper reports reversible edema in macaques after electric drilling for craniotomy, observed via MRI, and advises caution in electrophysiological recordings for 2-3 weeks post-surgery.

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.

Lussac improves spike-sorting yield and quality by combining multiple analyses into an automated consensus method.

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 develops a high-density electrode and methodology to decode up to 67 concurrently active motoneurons in humans with 99% accuracy, revealing population-level synaptic input and inhibition patterns.