Neuroscience and Neural Engineering

Axonal spike-count regimes link spinal cord stimulation periodicity to artificial sensory detection and discrimination in rodents

This study links spinal cord stimulation periodicity to artificial sensory perception by identifying spike-count regimes that shape detection and discrimination behavior in rodents.

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.

Intracortical bipolar stimulation allows selective activation of neuronal populations in the cortex

This study shows that bipolar intracortical stimulation selectively activates distinct neural populations, increasing addressable clusters by up to 9-fold compared to monopolar stimulation.

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.

golgi: an open-source graphical platform for image-to-recruitment modeling of peripheral nerve stimulation

golgi provides an open-source platform for modeling peripheral nerve stimulation, enabling image-to-recruitment analysis with a graphical interface and reproducible results.

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.