[HTML][HTML] Implantable brain machine interfaces: first-in-human studies, technology challenges and trends

AB Rapeaux, TG Constandinou - Current opinion in biotechnology, 2021 - Elsevier
Implantable brain machine interfaces (BMIs) are now on a trajectory to go mainstream,
wherein what was once considered last resort will progressively become elective at earlier …

Challenges for large-scale cortical interfaces

A Nurmikko - Neuron, 2020 - cell.com
This Perspective examines the status of large-scale cortical interfaces through the lens of
potential applications to active implants for brain-machine interfaces. Examples of research …

Memristor networks for real-time neural activity analysis

X Zhu, Q Wang, WD Lu - Nature communications, 2020 - nature.com
The ability to efficiently analyze the activities of biological neural networks can significantly
promote our understanding of neural communications and functionalities. However …

Interleukin-4 receptor signaling modulates neuronal network activity

N Hanuscheck, C Thalman, M Domingues… - Journal of Experimental …, 2022 - rupress.org
Evidence is emerging that immune responses not only play a part in the central nervous
system (CNS) in diseases but may also be relevant for healthy conditions. We discovered a …

Materials for implantable surface electrode arrays: current status and future directions

CM Tringides, DJ Mooney - Advanced Materials, 2022 - Wiley Online Library
Surface electrode arrays are mainly fabricated from rigid or elastic materials, and precisely
manipulated ductile metal films, which offer limited stretchability. However, the living tissues …

Neuropixels data-acquisition system: a scalable platform for parallel recording of 10 000+ electrophysiological signals

J Putzeys, BC Raducanu, A Carton… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Although CMOS fabrication has enabled a quick evolution in the design of high-density
neural probes and neural-recording chips, the scaling and miniaturization of the complete …

Adaptive spike detection and hardware optimization towards autonomous, high-channel-count BMIs

Z Zhang, TG Constandinou - Journal of Neuroscience Methods, 2021 - Elsevier
Background The progress in microtechnology has enabled an exponential trend in the
number of neurons that can be simultaneously recorded. The data bandwidth requirement is …

Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey

T Zhang, MR Azghadi, C Lammie… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Spike sorting is a set of techniques used to analyze extracellular neural
recordings, attributing individual spikes to individual neurons. This field has gained …

[HTML][HTML] Studying the visual brain in its natural rhythm

DA Leopold, SH Park - Neuroimage, 2020 - Elsevier
How the brain fluidly orchestrates visual behavior is a central question in cognitive
neuroscience. Researchers studying neural responses in humans and nonhuman primates …

Sequential neural activity in primary motor cortex during sleep

W Xu, F de Carvalho, A Jackson - Journal of Neuroscience, 2019 - Soc Neuroscience
Sequential firing of neurons during sleep is thought to play a role in the consolidation of
learning. However, direct evidence for such sequence replay is limited to only a few brain …