Real-time interaction between a neuromorphic electronic circuit and the spinal cord

Jung, Ranu; Brauer, E.J.; Abbas, James J.

doi:10.1109/7333.948461

Cited by 62 publications

(47 citation statements)

References 36 publications

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“…In addition to the applications described above, it is a classical approach used in basic science research [6,22] and allows for bidirectional bionic interactions [66,110,130]. Here, we restrict our focus to miniaturized or implantable systems designed to treat diseases of, or injuries to, the nervous system.…”

Section: Very Large Scale Integration (Vlsi) Implementationsmentioning

confidence: 99%

Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations

Greenwald

Masters

Thakor

2016

Med Biol Eng Comput

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A bidirectional neural interface is a device that transfers information into and out of the nervous system. This class of devices has potential to improve treatment and therapy in several patient populations. Progress in very-large-scale integration (VLSI) has advanced the design of complex integrated circuits. System-on-chip (SoC) devices are capable of recording neural electrical activity and altering natural activity with electrical stimulation. Often, these devices include wireless powering and telemetry functions. This review presents the state of the art of bidirectional circuits as applied to neuroprosthetic, neurorepair, and neurotherapeutic systems.

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Section: Very Large Scale Integration (Vlsi) Implementationsmentioning

confidence: 99%

Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations

Greenwald

Masters

Thakor

2016

Med Biol Eng Comput

View full text Add to dashboard Cite

show abstract

“…In future biomedical applications, it might become feasible to directly use the spiking output to activate body muscles [42], potentially obviating the need for counting spikes in a time window to control an actuator. Other potential biomedical applications of spiking neuromorphic computing include restoring spinal cord function [43] and the application in closed-loop deep brain stimulation devices [44], [45].…”

Section: Discussionmentioning

confidence: 99%

Predicting voluntary movements from motor cortical activity with neuromorphic hardware

Lungu¹,

Riehle²,

Nawrot³

et al. 2017

IBM J. Res. & Dev.

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Neurons in mammalian motor cortex encode physical parameters of voluntary movements during planning and execution of a motor task. Brain-machine interfaces can decode limb movements from the activity of these neurons in real time. The future goal is to control prosthetic devices in severely paralyzed patients or to restore communication if the ability to speak or make gestures is lost. Here, we implemented a spiking neural network that decodes movement intentions from the activity of individual neurons recorded in the motor cortex of a monkey. The network runs on neuromorphic hardware and performs its computations in a purely spike-based fashion. It incorporates an insect-brain-inspired, three-layer architecture with 176 neurons. Cortical signals are filtered using lateral inhibition, and the network is trained in a supervised fashion to predict two opposing directions of the monkey's arm reaching movement before the movement is carried out. Our network operates on the actual spikes that have been emitted by motor cortical neurons, without the need to construct intermediate non-spiking representations. Using a pseudo-population of 12 manually-selected neurons, it reliably predicts the movement direction with an accuracy of 89.32 % on unseen data after only 100 training trials. Our results provide a proof of concept for the first-time use of a neuromorphic device for decoding movement intentions.

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“…Neuromorphic electronic design in silicon or other organic computing platforms would allow realization of computational neural models by fabrication of fundamental devices and circuits that can emulate neuronal behavior at the single cell level as well as more complex circuits. These new biomimetic devices offer new platforms for bidirectional bionic neural interfaces [85]. …”

Section: Future Perspectivementioning

confidence: 99%

Bionic Intrafascicular Interfaces for Recording and Stimulating Peripheral Nerve Fibers

et al. 2017

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The network of peripheral nerves presents extraordinary potential for modulating and/or monitoring the functioning of internal organs or the brain. The degree to which these pathways can be used to influence or observe neural activity patterns will depend greatly on the quality and specificity of the bionic interface. The anatomical organization, which consists of multiple nerve fibers clustered into fascicles within a nerve bundle, presents opportunities and challenges that may necessitate insertion of electrodes into individual fascicles to achieve the specificity that may be required for many clinical applications. This manuscript reviews the current state-of-the-art in bionic intrafascicular interfaces, presents specific concerns for stimulation and recording, describes key implementation considerations and discusses challenges for future designs of bionic intrafascicular interfaces.

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Real-time interaction between a neuromorphic electronic circuit and the spinal cord

Cited by 62 publications

References 36 publications

Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations

Implantable neurotechnologies: bidirectional neural interfaces—applications and VLSI circuit implementations

Predicting voluntary movements from motor cortical activity with neuromorphic hardware

Bionic Intrafascicular Interfaces for Recording and Stimulating Peripheral Nerve Fibers

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