Neuroscience and Neural Engineering

Development of novel signal and spike velocity analysis tools in peripheral nerve cuffs

This paper introduces two novel signal analysis techniques for peripheral nerve recordings and demonstrates their ability to detect low signal-to-noise ratio signals and extract velocity information.

Dynamic changes in structure and function of brain mural cells around chronically implanted microelectrodes

This study observes dynamic structural and functional changes in brain pericytes and immune cells around chronically implanted microelectrodes over four weeks.

Comparative analysis of spike-sorters in large-scale brainstem recordings

The paper evaluates spike-sorting algorithms on deep brainstem recordings, finding that all tested methods can identify known cell types but require manual curation.

Spatially mismatched cerebral blood flow and neuronal activity by intracortical microstimulation

This study investigates the spatial and temporal mismatch between neuronal activity and blood flow responses to intracortical microstimulation in mice, finding that low intensity stimulation preserves neurovascular coupling while high intensity causes mismatched responses and potential ischemia.

Rapid neurostimulation at micron scale with optically controlled thermal-capture technique

The paper demonstrates that millisecond heat pulses can induce reversible changes in membrane potential and elicit ionic displacement currents in cells, with significant effects observed at temperatures near 50°C.

A multi-channel electrophysiology approach to non-invasively and precisely record human spinal cord activity

This paper develops a multi-channel electrophysiology method to non-invasively record human spinal cord activity with high temporal resolution and demonstrates its application in studying somatosensation and nociception.

End-to-end multimodal deep learning for real-time decoding of months-long neural activity from the same cells

This paper introduces AutoSort, a deep learning method for real-time decoding of neural activity from the same cells over months, showing improved efficiency and accuracy compared to existing methods.

Biologically grounded brain-on-chip model identifies selective topographic reorganization within hyperexcitable neural networks

The paper uses a brain-on-chip model to show genetic perturbations alter network topology in corticostriatal circuits, leading to new convergent nodes in hyperexcitable neural networks.

Hydrogel Electromagnetic Biohybrid Systems Direct Neural Morphogenesis across Central and Peripheral Systems

This paper introduces a hydrogel-electromagnetic biohybrid system that guides neural morphogenesis in both central and peripheral systems, improving neurite extension and functional recovery in human and rat models.

Graphene microelectrode arrays, 4D structured illumination microscopy, and a machine learning-based spike sorting algorithm permit the analysis of ultrastructural neuronal changes during neuronal signalling in a model of Niemann-Pick disease type C

Tracking neurons across days with high-density probes

The paper introduces UnitMatch, a pipeline for tracking neurons across recordings using spike waveforms, showing stability in visual cortex and changes in striatum during learning.

Minimizing the number of phosphenes required for object recognition under prosthetic vision

This study determines the minimum number of phosphenes needed for object recognition in prosthetic vision, finding that 65 phosphenes suffice, with segments requiring fewer fragments.

Computer vision guided open-source active commutator for neural imaging in freely behaving animals

This paper introduces an open-source active commutator using computer vision to enable reliable long-term neural imaging in freely behaving mice without affecting neurophysiological signals.

Brainwaves Monitoring via Human Midbrain Organoids Microphysiological Analysis Platform: MAP

This paper introduces a microphysiological platform for long-term monitoring of midbrain organoids, capturing electrophysiological development and modeling Parkinson's disease-like alterations.

There is no Biophysical Distinction between Temporal Interference and Direct kHz Stimulation of Peripheral Nerves

This paper shows that temporal interference stimulation (TIS) and direct kHz stimulation of peripheral nerves have similar biophysical effects, challenging claims that TIS relies on amplitude modulation.

DENOISING: Dynamic Enhancement and Noise Overcoming in Multimodal Neural Observations via High-density CMOS-based Biosensors

DENOISING improves signal-to-noise ratio and data reliability in multimodal neural recordings by adaptively separating signal and noise components across various brain networks.

Constructing well-defined neural networks of multiple cell types by picking and placing of neuronal spheroids using FluidFM

This study uses FluidFM technology to automatically pick and place neuronal spheroids and single cells to construct accurate neuronal circuits.

Computer vision guided rapid and precise automated cranial microsurgeries in rodents

This paper introduces a computer vision-guided robot for performing rapid and precise cranial microsurgeries in rodents, reducing surgery time and training requirements.

Ultraconformable cuff implants for long-term bidirectional interfacing of peripheral nerves at sub-nerve resolutions

This paper develops ultraconformable cuff implants for long-term bidirectional nerve interfacing in rats, achieving high-resolution recording and modulation of nerve activity.

A microendovascular system can record precise neural signals from cortical and deep vessels with minimal invasiveness

This paper demonstrates that micro intravascular electrodes can record high-quality ivEEG signals from cortical and deep veins, enabling better spatial resolution and functional mapping compared to traditional methods.

Small animal brain surgery with neither a brain atlas nor a stereotaxic frame

This paper introduces a brain surgery technique for small animals without requiring a brain atlas or stereotaxic frame, using MRI and CT scans with fiducial markers for probe positioning.

Characterization and analysis of neuronal signaling using microelectrode array combined with rapid and localized cooling device for cryo-neuromodulation

This paper introduces a cryo-neuromodulation platform with rapid cooling and microelectrode array to study neuronal signaling and network dynamics during freezing and recovery.

Mouse Exploratory behaviour in the open field with and without NAT-1 EEG device: Effects of MK801 and scopolamine

This study evaluates the impact of NAT-1 EEG devices on mouse behavior in the open field test with and without pharmacological treatments, finding minimal behavioral effects.

An ingestible, battery-free, tissue-adhering robotic interface for non-invasive and chronic electrostimulation of the gut

This paper develops an ingestible, battery-free robotic interface for chronic gut electrostimulation, showing it can modulate ghrelin levels and has potential for treating gastrointestinal conditions.

Precise control of neural activity using dynamically optimized electrical stimulation

This paper introduces a dynamically optimized electrical stimulation method to enhance neural activity control in retinal implants, showing improved visual stimulus reconstruction compared to static methods.

A novel interface for cortical columnar neuromodulation with multi-point infrared neural stimulation

The paper introduces an optical interface for cortical columnar neuromodulation using infrared neural stimulation and demonstrates its effects on visual cortex responses in anesthetized cats.

Assessing cross-contamination in spike-sorted electrophysiology data

The paper develops a model to predict false discovery rate (FDR) in spike sorting using ISI violations and validates it with simulations and public datasets.

Dual-color micro-LEDs integrated neural interface for multi-control optogenetic electrophysiology

This paper develops a dual-color micro-LED neural interface for optogenetic electrophysiology, enabling bidirectional control and recording in vivo.

The DREAM implant: A Lightweight, Modular and Cost-Effective Implant System for Chronic Electrophysiology in Head-fixed and Freely Behaving Mice

The paper introduces a cost-effective, modular implant system for chronic electrophysiology in mice, improving ease of use, recovery, and experimental versatility.

NRV: An open framework for in silico evaluation of peripheral nerve electrical stimulation strategies

The paper introduces an open-source framework for in silico evaluation of peripheral nerve electrical stimulation strategies, enabling simulation and optimization of stimulation parameters.