An artificial withdrawal reflex arc that can realize neuromorphic tactile perception,neural coding,information processing,and real-time responses was fabricated at the device level without dependence on algorithms.As ...An artificial withdrawal reflex arc that can realize neuromorphic tactile perception,neural coding,information processing,and real-time responses was fabricated at the device level without dependence on algorithms.As an extended application,the artificial reflex arc was used to perform an object-lifting task based on tactile commands,and it can easily lift a 200-g weight.A fiber-exploiting electro-optical synaptic transistor(FEST)was fabricated to emulate synaptic plasticity modulated by electrical or optical spikes.Due to an ultrahigh spike duration-dependent plasticity index(~12,651%),the FEST was applied in electro-optical encrypted communication tasks and effectively increased signal recognition accuracy.In addition,the FEST has excellent bending resistance(bending radii=0.6-1.4 cm,bending cycles>2000)and stable illumination responses for a wide range of incident angles(0°-360°),demonstrating its potential applicability in wearable electronics.This work presents new design strategies for complete artificial reflex arcs and wearable neuromorphic devices,which may have applications in bioinspired artificial intelligence,human-machine interaction,and neuroprosthetics.展开更多
The present study used a microelectronic neural bridge comprised of electrode arrays for neural signal detection, functional electrical stimulation, and a microelectronic circuit including signal amplifying, processin...The present study used a microelectronic neural bridge comprised of electrode arrays for neural signal detection, functional electrical stimulation, and a microelectronic circuit including signal amplifying, processing, and functional electrical stimulation to bridge two separate nerves, and to restore the lost function of one nerve. The left leg of one spinal toad was subjected to external mechanical stimulation and functional electrical stimulation driving. The function of the left leg of one spinal toad was regenerated to the corresponding leg of another spinal toad using a microelectronic neural bridge. Oscilloscope tracings showed that the electromyographic signals from controlled spinal toads were generated by neural signals that controlled the spinal toad, and there was a delay between signals. This study demonstrates that microelectronic neural bridging can be used to restore neural function between different injured nerves.展开更多
基金supported by the National Science Fund for Distinguished Young Scholars of China(T2125005)the National Key R&D Program of China(2022YFE0198200,2022YFA1204500,and 2022YFA1204504)+3 种基金the Tianjin Science Foundation for Distinguished Young Scholars(19JCJQJC61000)the Shenzhen Science and Technology Project(JCYJ20210324121002008)the National Natural Science Foundation of China(62204131)the China Postdoctoral Science Foundation(2023T160336).
文摘An artificial withdrawal reflex arc that can realize neuromorphic tactile perception,neural coding,information processing,and real-time responses was fabricated at the device level without dependence on algorithms.As an extended application,the artificial reflex arc was used to perform an object-lifting task based on tactile commands,and it can easily lift a 200-g weight.A fiber-exploiting electro-optical synaptic transistor(FEST)was fabricated to emulate synaptic plasticity modulated by electrical or optical spikes.Due to an ultrahigh spike duration-dependent plasticity index(~12,651%),the FEST was applied in electro-optical encrypted communication tasks and effectively increased signal recognition accuracy.In addition,the FEST has excellent bending resistance(bending radii=0.6-1.4 cm,bending cycles>2000)and stable illumination responses for a wide range of incident angles(0°-360°),demonstrating its potential applicability in wearable electronics.This work presents new design strategies for complete artificial reflex arcs and wearable neuromorphic devices,which may have applications in bioinspired artificial intelligence,human-machine interaction,and neuroprosthetics.
基金supported by the National Natural Science Foundation of China,No,90707005,61001046 and 61204018the Natural Science Foundation of Education Department of Jiangsu Province,No.11KJB510023the Special Foundation and Open Foundation of State Key Laboratory of Bioelectronics of Southeast University,No.2011E05
文摘The present study used a microelectronic neural bridge comprised of electrode arrays for neural signal detection, functional electrical stimulation, and a microelectronic circuit including signal amplifying, processing, and functional electrical stimulation to bridge two separate nerves, and to restore the lost function of one nerve. The left leg of one spinal toad was subjected to external mechanical stimulation and functional electrical stimulation driving. The function of the left leg of one spinal toad was regenerated to the corresponding leg of another spinal toad using a microelectronic neural bridge. Oscilloscope tracings showed that the electromyographic signals from controlled spinal toads were generated by neural signals that controlled the spinal toad, and there was a delay between signals. This study demonstrates that microelectronic neural bridging can be used to restore neural function between different injured nerves.
