Neuroscience and Neural Engineering

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

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

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.

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

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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

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

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

The paper introduces a modular and flexible open-source cell incubator system for both mobile and stationary use, enabling customized incubation for diverse experimental needs.

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

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.

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.

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

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.

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.

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.

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.

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.