Neuroscience and Neural Engineering

Machine Learning-Based Early Prediction of Neural Microelectrode Lifetime Under Accelerated Aging Conditions

This paper develops a machine learning model to predict neural microelectrode lifetimes from early-life data under accelerated aging conditions, achieving significant error reduction through feature engineering and calibration.

Injectable Nanoparticles Assemble In Situ into Modular, Functionally Segmented Brain Electrodes

The paper develops injectable nanoparticles that form soft, functionally segmented brain electrodes capable of neuronal stimulation and gene transfer in chicken embryos.

Astrocyte modulation of neural activity during intracortical microstimulation

This study shows astrocytes actively shape neural activity during intracortical microstimulation by modulating calcium signaling, influencing neuronal responses in a pattern-dependent manner.

Scalable hardware and software for high-density, multi-regional electrophysiology in non-human primates

The paper introduces MIND and UnitAssay for scalable, high-density, multi-regional electrophysiology in non-human primates, enabling stable recordings and reliable single-unit identification.

Substrate chemistry in cancer bioelectronics: phenotype-dependent cell-electrode coupling and motility

This study examines how electrode coatings affect cell-electrode coupling and motility in different breast epithelial phenotypes, finding that coating effects vary with cell type.

Ultra-high-efficacy Wireless Neuromodulation Using a Conductive Ring Interface

This paper proposes a neuromodulation system using a conductive ring interface that generates a highly localized electric field with minimal magnetic field requirements.

Why phosphenes are not always dots: modeling the shapes elicited 1by intracortical stimulation of human V1

The paper models phosphenes elicited by intracortical stimulation in human V1, showing that electrode stimulation can produce varied shapes due to activation of multiple locations.

Retinal Resistivity Mapped by Electrical Resistance Tomography

The paper measures retinal resistivity using electrical resistance tomography in rat retinas, comparing results from commercial and machine learning-based methods.

MRI-compatible 3D Soft Carbon Neural Interface Enabled by Versatile Depth-tunable Laser Drawing

This paper introduces a 3D soft carbon neural interface fabricated via depth-tunable laser drawing, showing improved in-vitro and in-vivo performance and reduced MRI artifacts compared to 2D alternatives.

Neural signatures of glioma progression using implanted neural interfaces

Microwire recordings in glioma-bearing mice track tumor progression: gamma power rises in glioblastoma and diffuse intrinsic pontine glioma xenografts, and low-gamma trajectories predict tumor growth rate (R^2 0.63).

Thermoplastic polyurethane as a base material for soft, high-density neural interfaces

This paper introduces thermoplastic polyurethane (TPU) as a base material for soft, high-density neural interfaces and demonstrates its fabrication and biocompatibility.

Flexible 3D multimodal organoid interface reveals functional subnetworks and coordinated circuit activity in cortical organoids

This paper introduces INFORM, a multimodal interface for cortical organoids that enables long-term recordings and modulation of neural activity, revealing functional subnetworks and inhibitory signaling.

Biomimetic scaffolds mimic human subretinal debris for preclinical testing of prosthetic vision

This paper develops biomimetic scaffolds to mimic human subretinal debris in animal models, improving the accuracy of preclinical testing for subretinal prostheses.

Embedded Printing-Derived Pyrolytic Carbon Electrodes with Graphene-like Features for Neural Stem Cell Differentiation and Dopamine Sensing

Spatial Sampling and Temporal Dynamics Shape Motor Decoding from Broadband Intracortical Signals

The paper compares neural signal features from different electrode configurations and decoding strategies to identify factors affecting motor decoding performance.

Toward A Whole-Brain Interface Enabled by High-Resolution Surface Electrophysiology

This paper presents a functional atlas of the human central nervous system using high-resolution surface electrophysiology from 70 patients, revealing conserved electrophysiological patterns and enabling neuroprosthetic applications.

Decoding natural scenes from patterned optogenetic responses in mouse visual cortex

This paper decodes natural scenes from optogenetic responses in mouse visual cortex and shows that patterned stimulation can reproduce visual representations with high fidelity.

SCREWx: A Screwless, Chronic, Recoverable, and Lightweight Neuropixels fixture for freely-moving rodents

The paper introduces a lightweight, screwless Neuropixels fixture for chronic recordings in freely moving rodents, enabling stable multi-probe implants and high extraction success.

Biophysical modeling reveals how recording geometry shapes representations of cortical activity

The paper shows how recording geometry affects the representation of cortical activity through biophysical modeling and experimental recordings.

A redundant encoding algorithm for artificial sensory information speeds learning and improves multisensory-guided navigation

This study shows that using a redundant encoding algorithm for intracortical microstimulation improves learning and multisensory integration in navigation tasks.

Extraocular Electrical Stimulation Activates Retinal Ganglion Cells In Vivo

This study shows that asymmetric charge-balanced electrical stimulation more effectively activates retinal ganglion cells in vivo at lower amplitudes than symmetric waveforms.

Precision cooling assists electrical stimulation: Breaking selectivity barriers in nerve control

The paper shows that local cooling improves the selectivity of electrical stimulation in nerves by reducing unwanted activity and enabling directional control.

Electrodeposited Biocompatible Coatings for 3D Electrodes on Retinal Prostheses

The paper develops biocompatible coatings for 3D electrodes on retinal prostheses using electrodeposition and photolithography to protect gold surfaces while preserving functionality.

Comparable phosphene size and contrast properties, but differing detection reliability for optogenetic versus electrical stimulation of macaque V1

This study compares perceptual properties of phosphenes evoked by optogenetic and electrical stimulation in macaques, finding comparable size and contrast but lower detection reliability for optogenetic methods.

Tunable neuronal microenvironments drive distinct functional phenotypes in human iPSCs-derived dopaminergic neurons

This study shows that tunable microenvironments using chitosan hydrogels with carbon nanotubes influence firing dynamics and activity phenotypes in human iPSCs-derived dopaminergic neurons.

Development of a Primary Visual Cortex Model to Investigate Cortical Visual Prosthesis Stimulation

The paper develops a computational model of the rat primary visual cortex to study electrical stimulation effects for cortical visual prosthesis development.

A Translational Platform for Brain-Computer Interfaces and Adaptive Neuromodulation: Technical Characterization, Long-Term Validation, and Implementation of the CorTec Brain Interchange--BCI2000 Ecosystem

The paper develops and validates an open-source ecosystem for implantable brain-computer interfaces and adaptive neuromodulation, demonstrating its capabilities through preclinical and human studies.

Modular chronic cranial platform for longitudinal functional ultrasound, optical, and ECoG recording in a gyrencephalic model species

This paper introduces a modular chronic cranial platform for longitudinal multimodal recording in a gyrencephalic brain, validated in cats with functional implants lasting up to 3.3 years.

Electrophysiological profiling of hiPSC-derived neurospheres using a novel NeuroMPS with integrated electrodes

This paper develops a novel NeuroMPS platform to monitor neuronal network dynamics in 3D human iPSC-derived neurospheres with high electrophysiological resolution and multimodal analysis.

Spinotrode: long-term intraspinal electrophysiological recordings to unravel dorsal horn neuron dynamics in behaving mice

The paper introduces Spinotrode, a vertebral implant for long-term single-cell recordings in the dorsal horns of behaving mice, revealing new insights into spinal neuron dynamics during natural behaviors.