A low power flash-FPGA based brain implant micro-system of PID control

Xia, Lijuan; Fattah, Nabeel; Soltan, Ahmed; Jackson, Andrew; Chester, Graeme; Degenaar, Patrick

doi:10.1109/embc.2017.8036790

Cited by 5 publications

(1 citation statement)

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“…The other suppressor technique, based on our previous work [25] [7] and designed neural mass [26], is a PID control system. This is described in Fig5.…”

Section: Bmi Processing Toolboxmentioning

confidence: 99%

The Neural Engine: A Reprogrammable Low Power Platform for Closed-Loop Optogenetics

Luo

Firflionis

Turnbull

et al. 2020

IEEE Trans. Biomed. Eng.

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Brain-machine Interfaces (BMI) hold great potential for treating neurological disorders such as epilepsy. Technological progress is allowing for a shift from open-loop, pacemaker-class, intervention towards fully closed-loop neural control systems. Low power programmable processing systems are therefore required which can operate within the thermal window of 2O C for medical implants and maintain long battery life. In this work, we have developed a low power neural engine with an optimized set of algorithms which can operate under a power cycling domain. We have integrated our system with a custom-designed brain implant chip and demonstrated the operational applicability to the closedloop modulating neural activities in in-vitro and in-vivo brain tissues: the local field potentials can be modulated at required central frequency ranges. Also, both a freely-moving non-human primate (24-hour) and a rodent (1-hour) in-vivo experiments were performed to show system reliable recording performance. The overall system consumes only 2.93mA during operation with a biological recording frequency 50Hz sampling rate (the lifespan is approximately 56 hours). A library of algorithms has been implemented in terms of detection, suppression and optical intervention to allow for exploratory applications in different neurological disorders. Thermal experiments demonstrated that operation creates minimal heating as well as battery performance exceeding 24 hours on a freely moving rodent. Therefore, this technology shows great capabilities for both neuroscience invitro/in-vivo applications and medical implantable processing units.

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“…The other suppressor technique, based on our previous work [25] [7] and designed neural mass [26], is a PID control system. This is described in Fig5.…”

Section: Bmi Processing Toolboxmentioning

confidence: 99%