Neuroscience and Neural Engineering

Multi-shanks SiNAPS Active Pixel Sensor CMOS probe: 1024 simultaneously recording channels for high-density intracortical brain mapping

This paper introduces a high-density CMOS neural probe with multiple shanks for simultaneous recording of neural activity across 2D brain regions.

A Brain to Spine Interface for Transferring Artificial Sensory Information

This paper demonstrates a brain-to-spine interface using dorsal column stimulation to transfer artificial sensory information between rats, showing corticostriatal plasticity and tactile discrimination.

Recording from the same neuron with high-density CMOS probes and patch-clamp: a ground-truth dataset and an experiment in collaboration.

The paper describes a method to record from the same neuron using patch-clamp and CMOS probes, presents a dataset, and discusses collaborative analysis through an open repository.

Uncovering biomarkers during therapeutic neuromodulation with PARRM: Period-based Artifact Reconstruction and Removal Method

This paper introduces PARRM, a method to remove stimulation artifacts from neural recordings, improving biomarker detection in neuromodulation.

THE FREQUENCY OF CORTICAL MICROSTIMULATION SHAPES ARTIFICIAL TOUCH

This study investigates how the frequency of cortical microstimulation affects artificial touch perception in monkeys, finding that discrimination is possible up to 200 Hz with electrode-dependent sensory correlates.

Electrochemical carbon fiber-based technique for simultaneous recordings of brain tissue PO2, pH, and extracellular field potentials

The paper describes an electrochemical technique using carbon fiber electrodes to simultaneously record brain tissue PO2, pH, and extracellular field potentials in vivo.

Performance of Complex Visual Tasks using Simulated Prosthetic Vision via Augmented-Reality Glasses

This study evaluates the performance of complex visual tasks with simulated prosthetic vision using AR glasses, finding that face recognition accuracy exceeds 75% even at low resolution.

Stimjim: open source hardware for precise electrical stimulation

Stimjim is an open-source, low-cost electrical stimulation device that provides precise microsecond control for in vitro and in vivo experiments.

Scalable Spike Source Localization in Extracellular Recordings using Amortized Variational Inference

This paper introduces a Bayesian model using variational autoencoder for localizing spike sources in extracellular recordings, showing improved accuracy over heuristic methods.

Chronic Stability of Single-Channel Neurophysiological Correlates of Gross and Fine Reaching Movements in the Rat

This study examines the long-term stability of task-related neural activity in healthy rats during reaching movements, showing consistent patterns in primary and premotor cortex over several weeks.

Differential effects of open- and closed-loop intracortical microstimulation on firing patterns of neurons in distant cortical areas

This study compares open-loop and closed-loop intracortical microstimulation in rats, finding that activity-dependent stimulation more effectively increases short-latency evoked spikes in distant cortical areas.

An integrated brain-machine interface platform with thousands of channels

This paper describes the development of a high-channel-count brain-machine interface system with scalable and implantable electrode arrays.

μECoG Recordings Through a Thinned Skull

This paper demonstrates the acute and chronic performance of optically transparent μECoG grids on a thinned skull, showing stable impedances and reliable optogenetic activation and spatially distinct recordings.

jULIEs: extracellular probes for recordings and stimulation in the structurally and functionally intact mouse brain

The paper introduces jULIEs, a new type of ultramicroelectrode that enables high signal-to-noise neural recordings and stimulation in intact mouse brains with minimal tissue damage.

Mechanical characterization of compliant neural probes, their insertion regimes and a rule of thumb design

The paper investigates the mechanical buckling of compliant neural probes, relates insertion forces to buckling, and proposes a design rule of thumb for reliable insertion.

A multi-site MicroLED Optrode Array for Neural Interfacing

The paper introduces a multi-site MicroLED Optrode Array for neural interfacing capable of optogenetic excitation in large mammals.

Open Hardware For Neuro-Prosthesis Research: A Study About A Closed-Loop Multi-Channel System For Electrical Surface Stimulations And Measurements

The paper designs an open-source closed-loop system for neuro-prosthetic research that can stimulate and measure neuronal activity with high precision and scalability.

Selective Recruitment of Cortical Neurons by Electrical Stimulation

This paper develops a model to predict which cortical neurons are activated by electrical stimulation, finding selective activation across cell types, layers, and stimulation parameters.

Modelling functional human neuromuscular junctions in a differentially-perturbable microfluidic environment, validated through recombinant monosynaptic pseudotyped ΔG-rabies virus tracing

The paper presents a microfluidic platform for creating functional neuromuscular junctions using human motor neurons and myotubes, validated by rabies virus tracing.

The CMU Array. A 3D Nano-Printed, Fully Customizable Ultra-High-Density Microelectrode Array

The paper introduces a 3D-printed microelectrode array with ultra-high density and customizable design for electrophysiological recordings.

A normalized template matching method for improving spike detection in extracellular voltage recordings

This paper introduces a template matching method for spike detection in extracellular recordings, showing improved detection of spikes during high firing rates and noisy conditions.

PASER for automated analysis of neural signals recorded in pulsating magnetic fields

PASER is a MATLAB-based toolbox for automated analysis of neural recordings in magnetic fields, offering denoising, artefact removal, and spike sorting with integrated evaluation of algorithms.

Visual epidural field potentials possess high functional specificity in single trials.

The paper shows that single-trial epidural field potentials can reliably decode spatial information with high accuracy using machine learning.

Classification of naturally evoked compound action potentials in peripheral nerve spatiotemporal recordings

The paper classifies naturally evoked compound action potentials using spatiotemporal signatures from multi-contact nerve cuff recordings in rats, achieving moderate accuracy and correlation with original firing rates.

Stereotactic system for accurately targeting deep brain structures in awake head-fixed mice

The paper introduces a stereotactic system for accurately targeting deep brain structures in awake head-fixed mice, validated through electrophysiological recordings and histological reconstruction.

A model of ganglion axon pathways accounts for percepts elicited by retinal implants

This study predicts retinal implant users' phosphenes using a model simulating individual retinal ganglion axon pathways, accurately replicating percept shapes.

A microfabricated, 3D-sharpened silicon shuttle for insertion of flexible electrode arrays through dura mater into brain

This paper introduces a 3D-sharpened silicon shuttle for inserting flexible electrode arrays through dura mater into rat brains, enabling less damaging and faster implantation for chronic recordings.

Photovoltaic stimulation efficiently evokes network-mediated activity of retinal ganglion cells

This study shows that photovoltaic stimulation with capacitive-like pulses improves network-mediated activation of retinal ganglion cells by leveraging inhibitory feedback and long voltage pulses.

STIMULUS: Noninvasive Dynamic Patterns of Neurostimulation using Spatio-Temporal Interference

The paper introduces a computational framework for noninvasive neurostimulation using spatio-temporal interference, achieving higher spatial precision than existing methods.

High-density multi-fiber photometry for studying large-scale brain circuit dynamics

This paper introduces high-density multi-fiber photometry arrays for studying brain circuit dynamics in behaving animals, demonstrating simultaneous recordings and optogenetic perturbations across multiple brain regions.