Neuroscience and Neural Engineering

A fatigue-resistant myoneural actuator for implantable biohybrid systems

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

A Bidirectional Neural Interface With Direct On-Device Neuromorphic Decoding for Closed-Loop Optogenetics

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.

Investigating Neurochemistry, Connectivity, and Audio Stimuli Relationship Among Surface and Depth Cortical Neurons

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.

Ultra-sensitive measurement of brain penetration mechanics and blood vessel rupture with microscale probes

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.

Microelectrode array scaled for recording human hippocampal slices

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.

Adaptation of visual responses in degenerating rd10 and healthy mouse retinas during ongoing electrical stimulation.

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.

In Search for Biomarkers Reflecting Neural Implant-Induced Tissue Response Dynamics

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.

A fast and simple algorithm for accurate spike detection in HD-MEA recordings

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.

Integrating Electrical Components into a Printed Self-folding Cuff Electrode for Chronic Peripheral Nerve Interfaces

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.

A systematic analysis of brain tissue response to microelectrode material and size with single-cell spatial transcriptomics

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: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings

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

Built-in integrated living electronics: from biosynthesis tomodulation of neuronal function

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

Ex vivo Infrared Nerve Stimulation on the Rat Sciatic Nerve: Challenges and Pitfalls

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.

A Novel Rapidly Manufacturable Flexible Subdural Electrode Array for Intraoperative Mapping of Cortical Activity

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

OP-GLX: A MATLAB toolbox for online processing and plotting of Neuropixels data acquired with SpikeGLX

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

Control of cortical population activity with patterned microstimulation

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.

Smart Dura: a functional artificial dura for multimodal neural recording and modulation

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

A large-scale optogenetic neurophysiology platform for improving accessibility in NHP behavioral experiments

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

Flexible thin-film Implant with Depth Selectivity for Intraspinal Microstimulation

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

Computational modelling of the suppression of optic nerve fibre

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

Growth-adaptive spring electronics for long-term, same-neuron mapping in the developing rat brain

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.

Engineering an in vitro model of demyelinated spinal cord tissue

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.

Large cranial windows distort sensory maps and degrade feature integration in higher-order cortex

Polymer-based flexible multi-shank probes for simultaneous intracortical microstimulation and two-photon calcium imaging

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: a turnkey pipeline for processing of Neuropixel recordings

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

DeepUnitMatch: tracking neurons across days in electrophysiology using Deep Neural Networks

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

Microglia surveillance is directed toward neuron activation during sustained intracortical microstimulation

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.

Neuromodulation of a peripheral nerve using fully polymeric cuff electrodes: Understanding predictability of selective stimulation

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

Leveraging current steering and the biophysics of spike generation for cellular-resolution electrical stimulation of neurons

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.

Large-Scale Control of Neuronal Networks In Vitro Using Perforated Microfluidic Devices

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