Neuroscience and Neural Engineering

An artefact-resilient wide bandwidth bidirectional graphene neural interface

This paper presents a bidirectional neural interface combining graphene technologies for recording and stimulation, showing that recording performance is not compromised during stimulation.

A biointegrated living brain stimulator evokes specific neural signalling

This paper introduces a biointegrated living brain stimulator that uses dopamine neurotransmitter-evoked signaling to restore motor function in a rodent Parkinson's disease model.

Residual photoreceptors affect the response of a degenerate retina to electrical stimulation

This study shows that residual photoreceptors affect the response of a degenerate retina to electrical stimulation, with implications for improving subretinal prosthesis design.

Hippocampal tangential insertions of high-density silicone probes in head-fixed mice enhance spatial sampling

This paper introduces two tangential insertion methods for high-density silicone probes in head-fixed mice to improve spatial sampling of hippocampal activity.

Spatial Richness of Neural Magnetic Fields

This study establishes the informational differences between neural magnetic fields and electrical potentials, showing magnetic fields offer better discrimination of dense neuronal networks and enable morphological reconstruction with sparse sensors.

Multi-site temporal control of optogenetic stimulation enhances firing frequencies in peripheral nerves

This study shows that multi-site optogenetic stimulation can increase firing rates in peripheral nerves through in silico, ex vivo, and in vivo experiments.

An Integrated Photoreceptor-to-RGC Stimulation Circuit for Intraocular Visual Prostheses

This paper designs an integrated circuit for intraocular visual prostheses that converts photoreceptor signals into RGC stimulation patterns without external processing.

Electrode pooling preserves movement decoding by retaining neural population dynamics

This study evaluates electrode pooling in mouse sensorimotor cortex, finding that while some neuronal detail is lost, population dynamics for movement decoding are preserved.

A Comprehensive Computational Model of the Human head for Designing and Optimizing Visual Brain-Machine Interfaces

The paper develops a comprehensive computational model of the human head to optimize visual brain-machine interfaces by simulating the entire visual pathway and surrounding tissues.

Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks

This study uses microfluidic platforms to investigate how damage to hub or peripheral connections in modular neuronal networks affects recovery, finding that hub damage leads to delayed recovery through alternative pathway formation.

Extending Kilosort for 3D Neural Probes

This paper extends Kilosort 2.0 to handle 3D neural probes by modifying spatial processing while keeping the core algorithm unchanged, improving resolution of spatial ambiguities.

Targeted Magnetic Nanodiscs for Wireless Causal Manipulation of Gut-Brain Circuits

This paper develops magnetic nanodiscs for wireless, cell-type specific activation of gut-brain circuits, showing they can regulate feeding behavior through hindbrain satiety circuits.

Maximizing the fidelity of a photovoltaic subretinal prosthesis for human patients

This paper optimizes a 3D electrode design for a photovoltaic subretinal implant to improve visual acuity beyond current clinical devices.

Size Scaling of the Electrochemical Performance of Ti3C2Tx MXene Microelectrode Arrays for Electrophysiological Recording and Stimulation

This study evaluates Ti3C2Tx MXene microelectrodes across different sizes and finds they outperform platinum electrodes in recording and stimulation due to lower resistance and higher capacitance.

Electrical stimulation precisely reproduces naturalistic spiking activity in complete and intermixed neural populations in the primate retina

This study uses electrical stimulation to replicate natural spiking activity in primate retinal neurons, achieving lower variability than visual stimuli.

Functional Cell-Type Identification in Neuronal Networks Using High-Density Microelectrode Arrays

The paper develops a classifier to identify excitatory and inhibitory neurons using HD-MEA recordings without post-hoc labeling, revealing cell-type-specific network dynamics.

Spatially defined axonal guidance in neural organoids with micropatterned microfluidic channels

This paper introduces a microfluidic platform called directoids to study directional axonal growth between neural organoids, showing robust directional bias in axon outgrowth.

Chronic alteration of Ca2+ and hemodynamic signals induced by intracortical microstimulation in the visual cortex of awake mice

This study examines chronic effects of intracortical microstimulation on visual cortex function in awake mice, finding progressive neuronal and vascular responses with neurovascular uncoupling and frequency-dependent after discharges.

An Approach to Measure Conductivity Gradients of Brain Tissue Transitions using Electrode Arrays

This study evaluates using impedance spectroscopy with electrode arrays to detect tissue transitions in ex vivo porcine brain tissue, showing promise for intraoperative margin detection.

Custom-Built Electrodes Perform Comparably to a Discontinued Commercial Electrode for Neuromuscular Electrical Stimulation in Mice

The paper compares two custom-built electrodes to a discontinued commercial electrode for neuromuscular stimulation in mice, finding no significant differences in torque output.

Population-Scale Analysis of Frequency-Dependent Calcium Dynamics in Retinal Ganglion Cells Under Electric Field Stimulation

This paper investigates how electric field stimulation frequency and waveform shape affect intracellular calcium dynamics in retinal ganglion cells using experimental and computational approaches.

Estimation of motion direction and speed using an organic-semiconductor retinal prosthetic in a blind retinae

The paper demonstrates that a polymer-based retinal prosthesis can evoke physiologically relevant motion direction and speed responses in blind chick retinas.

Friend, not Foe: Lowered Tissue Reactivity to Long-Term Polyimide Implants

This study compares tissue reactivity to stiff silicon and flexible polyimide implants in mice, finding that flexible polyimide reduces lesions and immune response.

A mechanically stable neural probe for percutaneous high-resolution, multichannel recordings in peripheral nerves

This paper develops mechanically stable multi-electrode neural probes for high-resolution, multichannel recordings in peripheral nerves, improving signal yield and performance compared to single-electrode probes.

Live Spike Sorting of Large-scale Neural Recordings

This paper introduces a live spike sorting system that achieves performance comparable to offline sorting and enables closed-loop interventions in neural recordings.

Biohybrid Robots with Embedded Conductive Fibers for Actuation, Sensing, and Closed-loop Control

This paper introduces a biohybrid robot system using conductive fibers for low-power actuation, sensing, and closed-loop control, achieving autonomous locomotion and reduced muscle fatigue.

A water compartment cell culture lid enables stable longitudinal recording of neuronal networks in vitro

This paper introduces a water compartment cell culture lid that enables stable, long-term electrophysiological recordings of neuronal networks in vitro.

A minimally invasive EEG recording method in mice using thin needle electrodes

This paper introduces a minimally invasive EEG recording method in mice using thin needle electrodes, which reduces surgery time and improves animal welfare without compromising recording quality.

An Integrated In Vitro Platform and Biophysical Modeling Approach for Studying Synaptic Transmission in Isolated Neuronal Pairs

The paper develops an in vitro platform with biophysical modeling to study synaptic transmission in isolated human neuronal pairs, revealing receptor-specific changes in long-term potentiation.

A Semi-Automated MEA Spike sorting (SAMS) method for high throughput assessment of cultured neurons

SAMS improves spike sorting accuracy and efficiency for hPSC-derived neurons, enabling better disease modeling and drug development.