Neuroscience and Neural Engineering

This paper introduces an electrolytic lesioning technique compatible with neuroelectrophysiology recordings, enabling precise brain lesioning without disrupting electrophysiological measurements.

The paper introduces BioemuS, a real-time biomimetic spiking neural network system for biohybrid experiments and emulation, aiming to advance neuroprosthetic development.

The paper introduces the COMBO window, a chronic cranial implant for multimodal brain recordings in mice, combining imaging and behavioral observation.

This paper develops a Random Forest model to predict neurostimulation-induced tissue damage using multiple stimulation parameters, achieving 88.3% accuracy compared to 63.9% for the Shannon equation.

The paper uses two-photon calcium imaging to study how infrared neural stimulation affects excitatory and inhibitory neurons in mouse somatosensory cortex.

This study examines how chronic microelectrode implantation affects functional connectivity in different cortical layers and the hippocampus over 16 weeks, finding layer-specific impairments and altered interlaminar communication.

This study develops an in vitro retinothalamic nerve model using microfluidic channels to investigate signal transmission and network integrity.

This paper introduces a microfluidic and fluorescence platform for in vivo neuropharmacology, enabling drug delivery and neural activity monitoring in rodent brains.

The paper introduces an open-source, 3D-printable implant for simultaneous bilateral electrophysiological recordings in rats across multiple brain areas.

This paper describes a method for acute Neuropixels recordings in marmoset monkeys, enabling long-term, high-density neural recordings with minimal infection risk.

This paper develops 3D printed scaffolds with MXene coatings to guide neuronal growth and enable photothermal stimulation for neural circuit engineering.

This study investigates how different microstimulation frequencies affect neural and hemodynamic responses in the mouse visual cortex, finding that lower frequencies enhance activation while higher frequencies induce depression.

This study evaluates how electrode sharpness and insertion speed affect tissue damage when implanting high-density neural arrays in mice and rats, finding that electro-sharpened arrays and faster insertion reduce cellular damage and BBB compromise.

kCSD-python provides a Python package for reliable current source density estimation with quality control techniques and diagnostic tools.

The paper introduces an optrode array for precise optogenetic stimulation of deep cortical layers in non-human primates, demonstrating its ability to activate neurons in specific or widespread regions.

This paper develops a transparent microcoil array for spatially selective neuronal activation in cortical and retinal tissues using magnetic stimulation.

This paper uses a biophysically based computational model to study the temporal response of cortical neurons to intracortical microstimulation, finding that responses include short latency excitation and prolonged inhibition, with interactions between these components affecting neural activity.

This study shows that the periodicity of spinal cord stimulation pulse trains affects rats' ability to detect and discriminate artificial sensations, with lower periodicity leading to lower detection thresholds.

This paper develops 3D electroplated structures for subretinal prostheses to improve electric field penetration and stimulation efficiency in retinal implants.

This paper demonstrates that infrared neural stimulation (INS) provides spatially constrained responses in thalamocortical circuits and enables closed-loop control using deep reinforcement learning.

This paper describes two methods for inserting Neuropixels probes into awake monkey cortex, enabling stable long-term recordings.

The paper introduces an actor-model framework for visual sensory encoding that outperforms learning-free methods by leveraging retinal network computations for image down-sampling.

This paper presents a differentiable phosphene simulator for optimizing visual cortical prostheses using biologically plausible models of visual perception.

This paper introduces a shape-changing electrode array for minimally invasive large-scale ECoG mapping, demonstrating its biocompatibility and high-resolution brain activity recording in rodents and canines.

This paper introduces a wireless optoelectronic probe that continuously monitors brain tissue oxygenation in live animals, capturing hypoxia states and linking PbtO2 changes to neural activity.

This paper introduces a novel microelectrode-based 3D coculture system (INV-MPS) to study cancer-mediated axonal guidance and nociception in vitro, showing cancer spheroids can direct axonal growth and modulate neuronal excitability.

This paper introduces kirigami electronics for long-term, minimally-invasive electrophysiological recording of human neural organoids and assembloids in suspension.

This paper introduces a micro-fiber array system for measuring and manipulating neural dynamics in large brain volumes during behavior, revealing spatiotemporal patterns of dopamine release and enabling precise optogenetic control.

The paper introduces a high-channel-count flexible electrode for deep brain recording, capable of capturing single-unit activity from up to 128 channels.

This study uses computational modeling to show how the geometry of Aδ neuron initial segments affects extracellular voltage waveforms recorded by microelectrodes in dorsal root ganglia.