Neurochip3: An Autonomous Multichannel Bidirectional Brain-Computer Interface for Closed-Loop Activity-Dependent Stimulation

Shupe, Larry E.; Miles, Frank P.; Jones, Geoff; Yun, Richy; Mishler, Jonathan; Rembado, Irene; Murphy, Rich; Perlmutter, Steve I.; Fetz, Eberhard E.

doi:10.3389/fnins.2021.718465

Cited by 17 publications

(16 citation statements)

References 38 publications

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“…All data was collected with the head-mounted Neurochip3 (Shupe et al, 2021) while the monkeys were freely behaving in their home cage (Figure 1A). The Neurochip3 is a battery powered bidirectional brain-computer interface capable of saving data to an SD card, allowing for wireless recording and stimulation for up to 24 hours.…”

Section: Methodsmentioning

confidence: 99%

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Yun

Mishler

Perlmutter

et al. 2022

Preprint

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Different sleep states have been shown to be vital for a variety of brain function, including learning, memory, and skill consolidation. However, our understanding of neural dynamics during sleep and the role of prominent LFP frequency bands remain incomplete. To discern changes between different behavioral states we collected multichannel LFP and spike data in primary motor cortex of unconstrained macaques for up to 24 hours using the Neurochip3. Each 8 second bin of time was classified into awake and moving (Move), awake and at rest (Rest), REM sleep (REM), or non-REM sleep (NREM) by using dimensionality reduction and clustering on the average spectral density and the acceleration of the head. LFP power showed high delta during NREM, high theta during REM, and high beta when the animal was awake. Cross-frequency phase-amplitude coupling typically showed higher coupling for deeper sleep between all pairs of frequency bands except for high delta-high gamma and theta-high gamma coupling during Move, and high theta-beta coupling during REM. Sorted single units showed decreased firing rate with deeper sleep, though with higher “bursty” patterns during NREM compared to other states. Spike-LFP synchrony showed high delta synchrony during Move, and higher coupling with all other frequency bands during NREM. These results altogether are consistent with previous findings showing reactivation of cortical circuitry activated during the day, which may be driven by the delta band LFP.

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Section: Methodsmentioning

confidence: 99%

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Yun

Mishler

Perlmutter

et al. 2022

Preprint

Self Cite

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“…Central uses one processing node with the same processor as Hull, and multiple sensors that are connected using wires. Finally, Central No-Hash is a centralized design without hash processing, like most existing BCIs [27,31,100]. We do not consider wireless centralized designs as they need a radio and have lesser compute available than the wired ones.…”

Section: M E T H O D O L O G Ymentioning

confidence: 99%

A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing

Sriram¹,

Pothukuchi²,

Michał³

et al. 2023

Preprint

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Hull 1 is an accelerator-rich distributed implantable brain-computer interface (BCI) that reads biological neurons at data rates that are 2-3 orders of magnitude higher than the prior art, while supporting many neuroscientific applications. Prior approaches have restricted brain interfacing to tens of megabits per second in order to meet two constraints necessary for effective operation and safe long-term implantation-power dissipation under tens of milliwatts and response latencies in the tens of milliseconds. Hull also adheres to these constraints, but is able to interface with the brain at much higher data rates, thereby enabling, for the first time, BCI-driven research on and clinical treatment of brain-wide behaviors and diseases that require reading and stimulating many brain locations. Central to Hull's power efficiency is its realization as a distributed system of BCI nodes with accelerator-rich compute. Hull balances modular system layering with aggressive cross-layer hardware-software co-design to integrate compute, networking, and storage. The result is a lesson in designing networked distributed systems with hardware accelerators from the ground up.

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“…Implanted epidural stimulating electrodes, diaphragm recording electrodes, and a subcutaneous reference electrode were connected to the Neurochip3 brain-computer interface (Jackson, Moritz, et al, 2006;Shupe et al, 2021;Zanos et al, 2011) via a 6-channel cable (P1 Technologies, Roanoke, VA, USA) plugged into the implanted headstage and electrode assembly. The Neurochip3 is a battery-powered, integrated recording, computing, and stimulating system.…”

Section: Chronic Cles and Diaphragm Emg Recordingmentioning

confidence: 99%

Closed-Loop, Cervical, Epidural Stimulation Elicits Respiratory Neuroplasticity after Spinal Cord Injury in Freely Behaving Rats

Malone

Kelly

Nosacka

et al. 2022

eNeuro

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Neurochip3: An Autonomous Multichannel Bidirectional Brain-Computer Interface for Closed-Loop Activity-Dependent Stimulation

Cited by 17 publications

References 38 publications

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

Local field potentials and single unit dynamics in motor cortex of unconstrained macaques during different behavioral states

A Multi-Site Accelerator-Rich Processing Fabric for Scalable Brain-Computer Interfacing

Closed-Loop, Cervical, Epidural Stimulation Elicits Respiratory Neuroplasticity after Spinal Cord Injury in Freely Behaving Rats

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