Electronic neural interfaces

  title={Electronic neural interfaces},
  author={Milin Zhang and Zijian Tang and Xilin Liu and Jan Van der Spiegel},
  journal={Nature Electronics},
Devices such as keyboards and touchscreens allow humans to communicate with machines. Neural interfaces, which can provide a direct, electrical bridge between analogue nervous systems and digital man-made systems, could provide a more efficient route to future information exchange. Here we review the development of electronic neural interfaces. The interfaces typically consist of three modules — a tissue interface, a sensing interface, and a neural signal processing unit — and based on… 

A Fully Integrated Sensor-Brain–Machine Interface System for Restoring Somatosensation

A fully-integrated wireless sensor-brain-machine interface (SBMI) system for communicating key somatosensory signals, fingertip forces and limb joint angles, to the brain and provides a novel solution for providing somatoensory feedback to next-generation neural prostheses.

Wireless interfaces for brain neurotechnologies

  • Han-Joon KimJ. Ho
  • Computer Science
    Philosophical Transactions of the Royal Society A
  • 2022
The requirements that state-of-the-art brain-implanted devices impose on the wireless interface are summarized, and the working principles and applications of wireless interfaces based on each modality are discussed.

Technologies toward next generation human machine interfaces: From machine learning enhanced tactile sensing to neuromorphic sensory systems

This review offers a general knowledge of HMI technologies beginning with tactile sensors and their piezoresistive, capacitive, piezoelectrics, and triboelectric sensing mechanisms.

Soft, wireless and subdermally implantable recording and neuromodulation tools

This review explores the current state-of-the-art in wireless, subdermally implantable tools that quantitively expand capabilities in analysis and perturbation of the central and PNS by removing tethers and externalized features of implantable neuromodulation and recording tools.

A Survey in Implementation and Applications of Electroencephalograph (EEG)-Based Brain-Computer Interface

A simple and easy analysis of each technique and its respective benefits and drawbacks, including signal acquisition, signal pre-processing, feature classification and classification are shown.

An Ultra-Low-Noise, Low Power and Miniaturized Dual-Channel Wireless Neural Recording Microsystem

An ultra-low-noise, low power and miniaturized dual-channel wireless neural recording microsystem that can be applied to freely behaving small animals, such as rats, and may help advance neuroscientific discovery is developed.

A Review: Electrode and Packaging Materials for Neurophysiology Recording Implants

In this review, inorganic (metals and semiconductors), organic (conducting polymers), and carbon-based (graphene and carbon nanostructures) electrode materials are reviewed individually in terms of various neural recording devices reported in recent years.

Flexible Electrodes for In Vivo and In Vitro Electrophysiological Signal Recording

It is believed that the further exploration of materials for flexible electrodes and the combination of multidisciplinary technologies will boost the applications of flexible electrodes for medical diagnosis and human-machine interface.

Dielectric Engineered Two-Dimensional Neuromorphic Transistors.

This work reports a 2D transition metal dichalcogenide-based synaptic array fabricated on commercial silicon-rich silicon nitride (sr-SiNx) substrate, and proves that the artificial synapses can achieve a recognition accuracy of 91% on the MNIST handwritten data set.



Wireless implantable microsystems: high-density electronic interfaces to the nervous system

This paper describes the development of a high-density electronic interface to the central nervous system that permits the long-term monitoring of neural activity in vivo as well as the insertion of electronic signals into neural networks at the cellular level.

Massively Parallel Microwire Arrays Integrated with CMOS chips for Neural Recording

A new strategy to interface silicon-based chips with three-dimensional microwire arrays is presented, providing the link between rapidly-developing electronics and high density neural interfaces, and has excellent recording performance.

The Microbead: A 0.009 mm3 Implantable Wireless Neural Stimulator

The fabricated free-floating miniaturized implant has the best depth-to-volume ratio making it an excellent tool for minimally-invasive distributed neural interface, and thus could eventually complement or replace the rigid arrays that are currently the state-of-the-art in brain set-ups.

A Minimally Invasive 64-Channel Wireless μECoG Implant

A microsystem based on electrocorticography (ECoG) that overcomes difficulties, enabling chronic recording and wireless transmission of neural signals from the surface of the cerebral cortex and a simultaneous 3× improvement in power efficiency over the state of the art.

A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface

An optimized wireless compressed sensing neural signal recording system that achieves high signal recording quality with minimized power consumption, while reducing the risk of infection from through-skin connectors has been successfully used for long-term wireless neural recording in freely behaving rhesus monkey.

A High DR, DC-Coupled, Time-Based Neural-Recording IC With Degeneration R-DAC for Bidirectional Neural Interface

A voltage-controlled oscillator (VCO)-based neural-recording IC is presented, which directly quantizes the input signal and achieves a large DR to process the small-amplitude neural signal in the presence of the large-AMplitude stimulation artifact (SA).

A CMOS Distributed Sensor System for High-Density Wireless Neural Implants for Brain-Machine Interfaces

Current state-of-the-art Brain-Machine Interfaces (BMIs) rely on invasive “passive” microelectrode technologies, which are prohibitively challenging to scale beyond several hundred channels due to

A Distributed Wireless Network of Implantable Sub-mm Cortical Microstimulators for Brain-Computer Interfaces

  • F. LaiwallaJihun Lee A. Nurmikko
  • Biology
    2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • 2019
This paper describes a microscale (500 µm) programmable neural stimulator in the context of an epicortical wireless networked system of sub-mm "Neurograins" with wireless energy harvesting and bidirectional telemetry and describes the stimulation neurograin performance specifications and proof-of-concept in bench top and ex vivo rodent platforms.

A brain–computer interface using electrocorticographic signals in humans

It is demonstrated here for the first time that electrocorticographic (ECoG) activity recorded from the surface of the brain can enable users to control a one-dimensional computer cursor rapidly and accurately.

The “sewing machine” for minimally invasive neural recording

Together the system permits rapid and precise implantation of probes, each individually targeted to avoid observable vasculature and to attain diverse anatomical targets, and points the way toward a new generation of scaleable, stable, and safe neural interfaces.