Neuroscience and Neural Engineering

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 paper introduces a scalable neural recording system using nanocapacitor arrays with code division multiplexing, enabling simultaneous recordings from 1,024 electrodes.

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.

The paper rejuvenates silicon probes by stripping and recoating their polymer coating, restoring signal quality after degradation from repeated use.

This paper introduces a new electrical stimulation waveform that evokes more naturalistic neural activity than traditional methods, as shown by human experiments and computational modeling.

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.

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 study develops high-resolution methods to identify thin layers in macaque V1 using Neuropixels probes by analyzing electrical signals and spike waveforms.

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.

This study develops multi-region 3D neural probe arrays to record functional connectivity in thick acute mouse brain slices, showing improved single-unit signal detection compared to conventional slices.

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

ARViS enables precise, fast, and dense viral injection in mouse and marmoset brains with minimal bleeding, facilitating biosensor expression for imaging studies.

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.

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 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 for 3D neuronal cultures with electrophysiological and morphological readouts, enabling high-throughput studies of neuronal networks.

The paper introduces a method for precise 3D localization of intracerebral implants in rodent brains using tissue-clearing and light-sheet fluorescence microscopy, demonstrating its utility with implantation examples in transgenic mice.

The paper introduces a method for chronic, simultaneous neural recordings from multiple brain areas in mice, enabling long-term and flexible monitoring of neural activity during behavior.

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 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.