Neuroscience and Neural Engineering

This paper demonstrates the first-in-human use of floating EMG sensors and stimulators powered and operated via volume conduction, showing feasibility for neuroprosthetics.

This paper demonstrates closed-loop control of functional electrical stimulation using a CNN to classify nerve cuff recordings and trigger stimulation based on detected hindpaw states.

This study introduces a bioelectronic method to modulate neuronal activity in cortical organoids using ion and neurotransmitter delivery, demonstrating precise control over network activity.

This paper presents a microfluidic platform for creating modular cortical neural networks to study neuroplasticity and network dynamics under perturbations.

This study investigates how microchannel width and spatial constraints affect axon growth in brain-on-chip systems, finding that restrictions smaller than 350nm prevent axon penetration.

This paper introduces a microfluidic platform to model human neuronal circuits and axotomy, enabling the study of connectivity and regeneration in vitro.

This paper introduces a microfluidic platform for 3D neuronal cultures with electrophysiological and morphological readouts, enabling high-throughput studies of neuronal networks.

This study investigates how electrical stimulation affects inhibitory and excitatory neurons in the mammalian cortex, finding that increasing stimulation amplitude shifts the balance toward inhibition and correlates with behavioral changes.

This paper introduces a neuron tracking method using non-rigid alignment of spike sorted clusters to identify the same neurons across multiple days in high density electrophysiology recordings, achieving an 84% average recovery rate.

This paper introduces a flexible optrode for multi-site optical stimulation and electrical recording in the spinal cord, demonstrating its potential for therapeutic applications.

This study evaluates the accuracy of quasi-static approximations for electric potential in neurostimulation models, showing when more precise calculations are needed for kilohertz-frequency signals.

This paper develops biochemically-functionalized probes that selectively target and record from specific cell types in the brain, demonstrating their effectiveness in vivo.

This paper introduces TINIscope, a compact head-mounted microscope for simultaneous calcium imaging in multiple brain regions of freely behaving mice, demonstrating its ability to record over 1000 neurons across four hippocampal subregions.

This study improves speech decoding accuracy using high-resolution ECoG recordings, achieving better phoneme decoding than standard methods.

This study evaluates ultrathin amorphous silicon carbide microelectrode arrays for chronic neural recording in rats, showing minimal foreign body response and sustained single-unit activity over 16 weeks.

The paper demonstrates the use of multifunctional fibers to record and modulate neural activity in macaques during cognitive tasks, showing changes in neural activity with local inhibition.

The paper shows that Clemastine treatment improves microelectrode recording performance and neuronal health by enhancing oligodendrocyte activity during chronic implantation.

This study shows that mice can learn to control a virtual cursor using a brain-machine interface only when artificial feedback is spatially and temporally contiguous across the somatosensory cortex.

This paper describes a protocol for simultaneously perturbing and recording neural activity in chronically implanted rodents using LED silicon probes.

The paper develops resource-efficient neural network architectures for classifying nerve cuff recordings, achieving significant reductions in weights, memory, and FLOPs while maintaining comparable accuracy.

This paper describes a method for improving targeting accuracy in chronic microelectrode implantations in large animals using image-guided neuronavigation and custom cranial caps.

The paper develops a method to visualize axonal morphologies using HD-MEAs and applies it to reconstruct and analyze cortical and spinal axons.

The paper investigates the accumulation of age- and disease-associated factors around chronically implanted microelectrodes in a mouse model of Alzheimer's disease using two-photon microscopy.

This paper shows that fluid shear stress from micromotion around neural implants triggers gliosis via mechanosensitive ion channels, and modulating PIEZO1 affects astrocyte reactivity.

The paper introduces Myomatrix arrays, a high-resolution electrode technology for recording muscle activity from motor units across species during natural behaviors.

The paper infers light responses of primate retinal ganglion cells using electrical features, achieving moderate correlation with measured firing rates.

This study uses microfluidic devices to control afferent-efferent connectivity in engineered neuronal networks, showing increased modularity and functional efficiency.

This paper introduces a new prosthesis for long-term, near-continuous electrophysiological recordings in rats, achieving high retrieval success rates and improved durability.

This paper describes an injectable spinal stimulator that enables precise and programmable hindlimb movement in mice by targeting ventral spinal regions.

This paper develops a behavioral go/no-go paradigm to estimate ICMS-evoked somatosensory perception thresholds in rats with high accuracy.