Neuroscience and Neural Engineering

This study analyzes anodal-first waveforms to improve selective stimulation of C-fiber nerves over Aδ fibers using ion dynamics models.

This paper describes a surgical technique using laser ablation to thin the pia mater in sheep, enabling safer insertion of high-density microelectrode arrays for neural recordings.

This paper develops transparent and flexible ECoG electrodes using silver nanowire and IZO hybrid films, demonstrating improved electrical properties and compatibility with fluorescence microscopy.

The paper introduces a recoverable and reusable microdrive and head cap system for silicon probe recovery in freely moving rodents, reducing cost and experimental complexity.

This paper introduces electrode pooling to increase the number of recording sites on silicon probes by using a single wire for multiple sites, demonstrating its feasibility on Neuropixels 1.0 and simulating its effectiveness.

The paper analyzes what information about brain current sources can be recovered or remains unobservable using extracellular multielectrode recordings, across different experimental setups.

The paper develops a holographic optogenetic platform to study long-term functional connectivity in human stem-cell-derived neuronal networks.

The paper develops a neural activity score (NAS) using PCA to quantify neural network development and treatment effects on MEAs, showing it accurately reflects expected results.

TetrODrive is a low-cost, 3D-printable microdrive for electrophysiology and optophysiology in mice, enabling stable recordings and optotagging with high signal-to-noise ratio.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

This paper introduces a multi-modal artificial dura for large-scale neural recording, imaging, and stimulation in non-human primates, showing reduced photo-induced artifacts and transparency.

This paper introduces a triangle-shaped neurofluidic system to study neurite growth kinetics in primary rat hippocampal neurons by applying hydrostatic pressure.

The paper evaluates spike detection methods in intracranial recordings, showing inconsistencies due to varying pipelines and suggesting consensus-based event acceptance to improve reliability.

The paper introduces a psychometric platform to standardize the assessment of somatosensory sensations in neuroprosthetics, validated with amputees using implanted nerve interfaces.

This study investigates how microchannel patterning strategies affect neuronal connectivity in microfluidic devices, showing they can modulate the direction and number of neurites between neuronal populations.

This study qualitatively examines the perceptual experiences of individuals with retinal implants, finding that artificial vision is a learned skill involving distinct perceptual vocabulary and cognitive effort.

This paper introduces transparent graphene microelectrodes to simultaneously record microelectrocorticography and calcium fluorescence in vivo, revealing spatiotemporal seizure dynamics through non-negative matrix factorization.

The paper introduces a new silicon-based micro-fabrication technology for creating high-density neural micro-probe arrays with thousands of electrodes, achieving a record density of 400 electrodes/mm2 in rat brain recordings.

The paper investigates how the placement of recording sites on silicon probes affects neural signal quality, finding edge sites provide better signal quality than center sites in acute recordings.

This paper describes a head-mounted multi-camera system for monitoring behavior and electrophysiology in freely-moving mice, enabling comprehensive measurement of natural behaviors and eye movements.

This study uses HD-MEAs to characterize electrophysiological phenotypes of iPSC-derived neurons and assess drug effects in Parkinson's and ALS models.

This paper develops a motion compensation method for whole-cell patch-clamp recordings in vivo, significantly improving gigaseal and recording yields in the mouse thalamus.

ION-Decoding is a single-channel, interactive, offline spike sorting algorithm that outperforms Wave_Clus in hit count but has higher false-positive errors.

This paper uses Bayesian inference to estimate parameters of retinal neuron models from imaging data and optimizes stimulus waveforms for retinal neuroprosthetics.

The paper compares retinal response fidelity to visual and electrical stimulation using single-cell modeling and decoding, finding that electrical stimulation activates fewer cells, requiring more stimulus presentations for equivalent decoding.

This paper demonstrates a method for long-term, multi-probe Neuropixels recordings in freely moving rats over multiple months, showing high yield and probe reusability.

This paper introduces an implant-free, tether-free optical neuromodulation technique using NIR-II light to stimulate deep brain regions in mice through the scalp.

This study evaluates the long-term performance of Utah Slanted Electrode Arrays and intramuscular leads in human amputees, showing initial decline but stable signal quality and sensory percepts over 14 months.

This paper introduces an algorithm to optimize electrode selection in neural recordings, improving neuron isolation quality and yield compared to existing methods.