Neuroscience and Neural Engineering

This paper develops a method to record and optogenetically manipulate neural activity in awake, behaving marmosets, demonstrating its use in recording from V1 and V6 and showing behavioral effects from optogenetic activation in V6.

This paper introduces a thin-film optogenetic visual prosthesis called FlexLED that stimulates retinal ganglion cells to restore vision in a rabbit model of photoreceptor degeneration.

This study introduces a Circuit-Probability theory model to explain how neuronal electrical resonance affects stimulus-induced instability and proposes a method to minimize it.

This study shows that young rats exhibit reduced inflammatory response and better recording performance with neural implants compared to adult rats.

The paper compares gene expression in reactive astrocyte culture models to spatial transcriptomics data from implanted devices in rat brains, identifying shared genes and biomarkers of the foreign body response.

The paper introduces a lightweight micro-drive implant for chronic electrophysiological recordings in juvenile mice, enabling simultaneous recordings from up to sixteen brain regions during critical developmental stages.

This paper introduces an open-source MXene-based EEG system for chronic rodent recordings, showing it avoids skull surgery and detects mTBI effects on brain activity.

The paper demonstrates an efficient method to map thalamocortical connectivity in vivo using high-density electrodes in mouse cortex.

This paper demonstrates that a graphene-enhanced organic photovoltaic device restores visual function in a rat model of retinitis pigmentosa without significant inflammation.

This paper presents a fully desktop-fabricated flexible graphene ECoG array that can record brain activity in mice with long-term functionality and customizable electrode layouts.

The paper demonstrates that retinal neurons migrate into honeycomb-shaped wells of a subretinal prosthesis, enabling selective stimulation of second-order neurons without affecting electrical excitability or causing additional glial stress.

This paper introduces a neural implant that enables simultaneous two-photon imaging and extracellular electrophysiology in freely moving animals, showing a positive correlation between optical and electrical recordings.

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.

The paper introduces a high-resolution CMOS-MEA technology for single-cell neural activity analysis and demonstrates its application in studying brain circuits and drug responses.

This paper develops in vitro neuron-glia circuits using human iPSC-derived neurons and rat glia to test neuroactive compounds.

This paper demonstrates a magnetomechanical approach using magnetic nanodiscs to achieve wireless neuronal stimulation in vitro and untethered deep brain stimulation in vivo without implants or genetic modification.

The paper develops a 3D printed skull cap and benchtop fabrication method for custom microwire microelectrode arrays to enable low-cost, repeatable, and accurate multi-region recordings in rats.

The paper develops a system integrating implantable brain stimulation devices with wearable electronics for adaptive stimulation and real-time analysis in natural environments.

The paper localizes neurons around subcellular-scale carbon fiber electrodes and shows their placement affects spike sorting reliability.

The paper introduces E-Cannula, a tool for simultaneous electrical and optical recording in the hippocampus, revealing anatomical diversity in sharp-wave ripples and their association with distinct cell assemblies.

This study uses microstimulation in V1 of behaving monkeys to investigate spatio-temporal neural activity patterns and their relation to visual responses and saccades.

This paper demonstrates a hybrid system combining optogenetics and deep reinforcement learning to enhance nematode navigation and food search performance.

The paper introduces GEMsort, a multichannel neural spike sorting algorithm that reduces data volume and improves sorting speed using signal processing modifications.

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.

The paper uses two-photon calcium imaging and surface electrophysiology to show that only a small fraction of layer 2 neurons follow surface MUA, suggesting MUA may primarily reflect axonal inputs.

The paper introduces a 3D high-density CMOS multi-electrode array with microneedles for improved recording from 3D brain tissue and spheroids, showing enhanced signal quality and tissue vitality.

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.