Neuroscience and Neural Engineering

'SpikeNburst and 'Nicespike: Advanced Tools for Enhancing and Accelerating In Vitro High-Density Electrophysiology Analysis

This paper introduces two Python tools, spikeNburst and nicespike, for analyzing HD-MEA data, improving spike sorting and synchronization analysis.

An adaptable, reusable, and light implant for chronic Neuropixels probes

The paper introduces an adaptable implant for chronic Neuropixels recordings in mice, enabling stable, reusable, and lightweight neural recordings across multiple experimental conditions.

A biodegradable and restorative peripheral neural interface for the interrogation of neuropathic injuries

This paper introduces a biodegradable neural interface that monitors nerve injury recovery using machine learning, enabling early detection of neuroma formation and improved therapeutic outcomes.

Accelerated Simulation of Multi-Electrode Arrays Using Sparse and Low-Rank Matrix Techniques

This paper accelerates multi-electrode array simulations using sparse and low-rank matrix techniques, achieving up to 133x speedup with minimal error.

MEDiCINe: Motion Correction for Neural Electrophysiology Recordings

MEDiCINe improves motion correction in neural electrophysiology recordings, leading to more accurate spike sorting.

Spike sorting AI agent

SpikeAgent automates spike sorting with a multimodal LLM-based AI agent, achieving curation consistency equal to or exceeding human experts and drastically reducing expertise barriers.

An implantable biohybrid nerve model towards synaptic deep brain stimulation

This paper develops an implantable biohybrid nerve model for synaptic deep brain stimulation, demonstrating in vitro and in vivo functionality for over 22 days.

Sapphire-Based Optrode for Low Noise Neural Recording and Optogenetic Manipulation

This paper introduces a sapphire-based optrode that combines high-intensity LED optogenetic stimulation with low-noise neural recording, demonstrating its effectiveness in vivo.

Influence of asymmetric microchannels in the structure and function of engineered neuronal circuits

The paper tests asymmetric microchannel designs to promote unidirectional connectivity in cultured neuronal circuits and finds that the 'Rams' design achieves ~76% unidirectional connections and ~94% directional spiking activity.

Graphene-based micro-electrodes with reinforced interfaces and tunable porous structures for improved neural recordings

This study develops graphene-based micro-electrodes with tunable porous structures to improve neural recordings by reducing impedance and increasing charge injection capacity.

A Bioelectric Router for Adaptive Isochronous Neurostimulation

The paper introduces a cost-effective, customizable open-source device for multipolar brain stimulation experiments, demonstrating its effectiveness through bench-top and in vivo testing.

Optimal placement of high-channel visual prostheses in human retinotopic visual cortex

This paper develops an automatic method to optimize electrode placement for visual prostheses by matching phosphene distributions using retinotopic predictions and individual anatomy data.

Repetitive stimulation modifies network characteristics of neural organoid circuits

This study shows that three-organoid networks exhibit better stimulus decoding after repetitive stimulation compared to smaller networks.

Stress-actuated Flexible Microelectrode Arrays for Activity Recording in 3D Neuronal Cultures

This paper develops flexible microelectrode arrays (MEAs) for recording neuronal activity in 3D cultures, showing improved performance and scalability.

Nanoporous Platinum Microelectrode Arrays for Neuroscience Applications

This study evaluates nanoporous platinum microelectrode morphologies for neural cell cultures, finding that uniform nanoporous electrodes balance biocompatibility and electrophysiological performance.

Reversible and reusable compartmentalized microfluidic chip for coculture of dorsal root ganglion neurons

This paper develops a reversible and reusable microfluidic chip for culturing dorsal root ganglion neurons, enabling PNS modeling with improved accessibility and sustainability.

Engineered biological neural networks as basic logic operators

This paper demonstrates in vitro neuronal networks capable of performing Boolean computations like NAND and OR using controlled topology and extracellular stimulation.

Large-scale infra-slow dynamics of extracellular potentials linked to synchronous states revealed by graphene neural probes

This study introduces DC-coupled graphene neural probes to record infra-slow brain dynamics in freely moving rats, linking synchronous states to structured DC potential shifts.

Understanding responses to multi-electrode epiretinal stimulation using a biophysical model

The paper develops a biophysical model to study retinal ganglion cell responses to multi-electrode stimulation and validates it with experimental data from macaque retinas.

Neural bidomain model for multidimensional ephaptic coupling of neural spike propagation along myelinated fiber bundles with the nodes of Ranvier

The paper introduces a multidimensional neural bidomain model to study ephaptic coupling in myelinated fiber bundles, showing how fiber configurations affect spike propagation.

Graphene-polymer Nanofibers Enable Optically Induced Electrical Maturation in Stem Cell-Derived Cardiomyocytes and Brain Organoids

This paper demonstrates that graphene-polymer nanofibers can be optically stimulated to enhance electrical activity in stem cell-derived cardiomyocytes and brain organoids.

An AI-Cyborg System for Adaptive Intelligent Modulation of Organoid Maturation

This paper introduces an AI-cyborg system that uses adaptive intelligent modulation to enhance cardiac organoid maturation through real-time feedback.

Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands

This study evaluates biomimetic multi-channel microstimulation for restoring high-resolution force feedback in bionic hands through somatosensory cortex stimulation.

RT-Sort: an action potential propagation-based algorithm for real time spike detection and sorting with millisecond latencies

RT-Sort detects and sorts action potentials in real time with millisecond latencies using propagation patterns and a convolutional neural network.

Spike sorting biases and information loss in a detailed cortical model

The paper evaluates spike sorters using a cortical model, finding that sorting biases reduce stimulus discrimination ability by nearly half.

Evolving alterations of structural organization and functional connectivity in feedforward neural networks after induced P301L tau mutation

This study examines how induced P301L tau mutation alters structural and functional connectivity in engineered neural networks over time.

3D electronic implants in subretinal space: long-term follow-up in rodents

This study evaluates long-term biocompatibility and performance of 3D honeycomb-shaped subretinal implants in rats, showing improved stimulation thresholds compared to flat designs.

Optogenetic stimulation of a cortical biohybrid implant guides goal directed behavior

This study demonstrates that a cortical biohybrid implant can transmit information to the brain by enabling mice to report optogenetic stimulation of engrafted neurons.

Soft biocompatible polymer optical fiber tapers for implantable neural devices

This paper develops polymer optical fiber tapers for implantable neural devices, demonstrating their potential for homogeneous light delivery in vitro.

A Wireless Network of Implantable Microstimulators for Addressable and Patterned Electrical Brain Stimulation

This paper introduces a wireless network of implantable microstimulators for patterned electrical brain stimulation in rats, demonstrating chronic implantation and behavioral effects.