Artificial synapses are essential building blocks for neuromorphic electronics.Here,solid polymer electrolyte-gated artificial synapses(EGASs)were fabricated using ITO fibers as channels,which possess an ultra-high se...Artificial synapses are essential building blocks for neuromorphic electronics.Here,solid polymer electrolyte-gated artificial synapses(EGASs)were fabricated using ITO fibers as channels,which possess an ultra-high sensitivity of 5 m V and a long-term memory time exceeding 3 min.Notably,digitally printed ITO-fiber arrays exhibit an ultra-high transmittance of approximately 99.67%.Biological synaptic plasticity,such as excitatory postsynaptic current,paired-pulse facilitation,spike frequency-dependent plasticity,and synaptic potentiation and depression,were successfully mimicked using the EGASs.Based on the synaptic properties of the EGASs,an artificial neural network was constructed to perform supervised learning using the Fashion-MNIST dataset,achieving high pattern recognition rate(82.39%)due to the linear and symmetric synaptic plasticity.This work provides insights into high-sensitivity artificial synapses for future neuromorphic computing.展开更多
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 sensory–neuromorphic interface is key to the application of neuromorphic electronics.Artificial spiking neurons and artificial sensory nerves have been created,and a few studies showed a complete neuromorphic sys...The sensory–neuromorphic interface is key to the application of neuromorphic electronics.Artificial spiking neurons and artificial sensory nerves have been created,and a few studies showed a complete neuromorphic system through cointegration with synaptic electronics.However,artificial synaptic devices and systems often do not work in real environments,which limits their ability to provide realistic neural simulations and interface with biological nerves.We report a sensory–neuromorphic interface that uses a fiber synapse to emulate a biological afferent nerve.For the first time,a sensing–neuromorphic interface is connected to a living organism for peripheral nerve stimulation,allowing the organism to establish a connection with its surrounding environment.The interface converts perceived environmental information into analog electrical signals and then into frequency-dependent pulse signals,which simplify the information interface between the sensor and the pulse-data processing center.The frequency of the interface shows a sublinear dependence on strain amplitude at different stimulus intensities,and can deliver increased frequency spikes at potentially damaging stimulus intensities,similar to the response of biological afferent nerves.To verify the application of this interface,a system that monitors strain and provides an overstrain alarm was constructed based on this afferent neural circuit.The system has a response time of<2ms,which is compatible with the response time in biological systems.The interface can be potentially extended to process signals from almost any type of sensors for other afferent senses,and these results demonstrate the potential for neuromorphic interfaces to be applied to bionic sensory interfaces.展开更多
基金supported by the National Science Fund for Distinguished Young Scholars of China(No.T2125005)the National Key R&D Program of China(Nos.2022YFE0198200,2022YFA1204500,2022YFA1204504)+3 种基金the Shenzhen Science and Technology Project(No.JCYJ20210324121002008)the Natural Science Foundation of Tianjin(Nos.22JCYBJC01290,23JCQNJC01440)the Key Project of Nature Science Foundation of Tianjin(No.22JCZDJC00120)the Fundamental Research Funds for the Central Universities,Nankai University(Nos.BEG124901,BEG124401)。
文摘Artificial synapses are essential building blocks for neuromorphic electronics.Here,solid polymer electrolyte-gated artificial synapses(EGASs)were fabricated using ITO fibers as channels,which possess an ultra-high sensitivity of 5 m V and a long-term memory time exceeding 3 min.Notably,digitally printed ITO-fiber arrays exhibit an ultra-high transmittance of approximately 99.67%.Biological synaptic plasticity,such as excitatory postsynaptic current,paired-pulse facilitation,spike frequency-dependent plasticity,and synaptic potentiation and depression,were successfully mimicked using the EGASs.Based on the synaptic properties of the EGASs,an artificial neural network was constructed to perform supervised learning using the Fashion-MNIST dataset,achieving high pattern recognition rate(82.39%)due to the linear and symmetric synaptic plasticity.This work provides insights into high-sensitivity artificial synapses for future neuromorphic computing.
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Shenzhen Science and Technology Project,Grant/Award Number:JCYJ20210324121002008China Postdoctoral Science Foundation,Grant/Award Number:2023T160336+3 种基金National Natural Science Foundation of China,Grant/Award Numbers:62204131,82074534National Key Research and Development Program of China,Grant/Award Numbers:2022YFA1204500,2022YFA1204504,2022YFC3500404,2022YFE0198200National Science Fund for Distinguished Young Scholars of China,Grant/Award Number:T2125005Tianjin Science Foundation for Distinguished Young Scholars,Grant/Award Number:19JCJQJC61000。
文摘The sensory–neuromorphic interface is key to the application of neuromorphic electronics.Artificial spiking neurons and artificial sensory nerves have been created,and a few studies showed a complete neuromorphic system through cointegration with synaptic electronics.However,artificial synaptic devices and systems often do not work in real environments,which limits their ability to provide realistic neural simulations and interface with biological nerves.We report a sensory–neuromorphic interface that uses a fiber synapse to emulate a biological afferent nerve.For the first time,a sensing–neuromorphic interface is connected to a living organism for peripheral nerve stimulation,allowing the organism to establish a connection with its surrounding environment.The interface converts perceived environmental information into analog electrical signals and then into frequency-dependent pulse signals,which simplify the information interface between the sensor and the pulse-data processing center.The frequency of the interface shows a sublinear dependence on strain amplitude at different stimulus intensities,and can deliver increased frequency spikes at potentially damaging stimulus intensities,similar to the response of biological afferent nerves.To verify the application of this interface,a system that monitors strain and provides an overstrain alarm was constructed based on this afferent neural circuit.The system has a response time of<2ms,which is compatible with the response time in biological systems.The interface can be potentially extended to process signals from almost any type of sensors for other afferent senses,and these results demonstrate the potential for neuromorphic interfaces to be applied to bionic sensory interfaces.
