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Abstract
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory neurons are more readily driven by portable, distributed, and ubiquitous power sources. Here, we report a contact-electrification-activated artificial afferent at femtojoule energy. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS2 postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). The decay time of the synaptic device is in the range of sensory memory stage. The energy dissipation of the artificial afferents is significantly reduced to 11.9 fJ per spike. Furthermore, the artificial afferents are demonstrated to be capable of recognizing the spatiotemporal information of touch patterns. This work is of great significance for the construction of next-generation neuromorphic sensory network, self-powered biomimetic electronics and intelligent interactive equipment.
Highlights
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network
Originating from the charge transfer during contactelectrification (CE), the induced triboelectric signals activate the postsynaptic transistor and endow the artificial afferent with adaptive capacity to carry out spatiotemporal recognition on external stimuli, such as displacements, pressures, and touch patterns
The CE-activated artificial afferents are capable of establishing dynamic logic and recognizing the frequency/magnitudes of external actions
Summary
Low power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS2 postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). It is believed that sensor networks endowed with biological afferent characters are promising for solving more complicated problems of reality, such as facial recognition, image understanding, fuzzy algorithms, and adaptive control[6] Aiming at this goal, replicating the functionality of the human somatosensory system (composed of a network of distributed receptors, neurons, and synapses) is of great significance to endow electronic sensors, communicators, and actuators in sensory network with biological intelligence. Originating from the charge transfer during contactelectrification (CE), the induced triboelectric signals activate the postsynaptic transistor and endow the artificial afferent with adaptive capacity to carry out spatiotemporal recognition on external stimuli, such as displacements, pressures, and touch patterns. The recognition of spatiotemporal touch patterns has been successfully demonstrated to trigger corresponding LED logic as virtual excitations in the cerebral cortex
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