Neuroscience and Neural Engineering

This paper develops a fatigue-resistant myoneural actuator for implantable biohybrid systems, showing 260% increased fatigue resistance compared to native muscles.

This paper introduces a compact wireless neural interface with on-device neuromorphic decoding for closed-loop optogenetics in rodents, achieving high accuracy with low computational resources.

This study uses a 3D neural probe to record electrical and chemical signals from surface and depth cortical neurons in response to auditory stimuli, revealing connectivity patterns and stimulus-selective spiking behavior.

The paper measures insertion mechanics and vascular responses of microscale neural probes in vivo, finding constant insertion force post-pia penetration and vessel displacement avoiding rupture at small scales.

The paper develops a custom microelectrode array for recording extracellular action potentials and local field potentials from human hippocampal slices to study temporal lobe epilepsy.

This study examines how electrical stimulation affects visual adaptation in healthy and degenerating mouse retinas, finding that stimulation alters visual response properties and cell type classification.

This study identifies a conserved ECM regulatory axis linking traumatic brain injury, spinal cord injury, and neural implant-induced injury through transcriptomic analysis, highlighting HA-DAMP signaling as a potential biomarker for monitoring implant biocompatibility.

The paper introduces a spike detection method for HD-MEA recordings that improves spike detection during bursts and reduces computational cost compared to existing methods.

This paper introduces a printed self-folding cuff electrode with integrated rigid electrical components for chronic peripheral nerve interfacing, demonstrating reliable nerve recordings in locusts and rats.

This study uses single-cell spatial transcriptomics to analyze the brain's response to different microelectrode materials and sizes in rats, finding that electrode dimensions have a greater impact on tissue response than material type.

HuiduRep is a self-supervised framework that learns robust representations from extracellular recordings, improving spike sorting performance across datasets and outperforming existing tools.

The paper describes bionic neurons that autonomously build integrated fluorescent fibrils and demonstrate neuromodulatory effects on neuronal function.

This study presents an ex vivo infrared nerve stimulation setup for rat sciatic nerves, demonstrating compound action potential evocation and identifying key artifacts in the method.

This paper introduces a low-cost, rapidly manufacturable flexible subdural electrode array for intraoperative cortical activity mapping, validated in vivo in rats.

OP-GLX enhances real-time processing and visualization of Neuropixels data by integrating with SpikeGLX for improved data handling during neural experiments.

This paper introduces REACH-Ctrl, a data-driven method for real-time control of cortical population activity using microstimulation and multi-electrode recordings, achieving high accuracy in macaque prefrontal cortex.

This paper introduces Smart Dura, a multi-modal neural interface for non-human primates that enables long-term electrophysiological recording, neuromodulation, and optical transparency.

The paper introduces an optogenetics and electrophysiology platform for NHPs to enable long-term, multi-modal neural studies in behavioral experiments.

This paper introduces flex-ISMS, a flexible thin-film implant for intraspinal microstimulation, demonstrating depth selectivity and functional motor unit recruitment in pigs.

This paper models how sinusoidal currents can suppress optic nerve fibre conduction based on diameter, improving selectivity in retinal neuroprostheses.

This paper introduces growth-adaptive spring electronics and a spike processing pipeline to enable long-term, same-neuron mapping in developing rat brains, revealing neuron-specific developmental decorrelation.

This study develops an in vitro model of demyelinated spinal cord tissue using human neural stem cells and chemical treatments to mimic demyelination and assess its physiological effects.

This paper introduces a flexible multi-shank probe for simultaneous intracortical microstimulation and two-photon calcium imaging in mice, showing how stimulation parameters affect neuronal activation patterns.

Power Pixels is a pipeline that integrates multiple steps for processing Neuropixel recordings, simplifying data analysis for users.

DeepUnitMatch tracks individual neurons across days using deep neural networks, outperforming current methods by analyzing spike waveforms.

This study shows that 10-Hz intracortical microstimulation directs microglial surveillance toward activated neurons, revealing their role in modulating cortical circuits during early post-implantation.

This paper validates polymeric cuff electrodes for selective peripheral nerve fascicle stimulation and highlights the need for improved modeling to enhance simulation accuracy.

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.

The paper develops a microtunnel device to guide neuronal network formation in vitro, showing improved signal-to-noise ratio and electrophysiological recording quality.