TY - JOUR
T1 - A bee-inspired multisensory spiking neuron with Humid-Visual fused perception for authenticity recognition
AU - Pan, Keyuan
AU - Chen, Chen
AU - Li, Xiujuan
AU - Zhu, Duoyi
AU - Chen, Kang
AU - Wang, Kaili
AU - Qian, Xinkai
AU - Dong, Xuemei
AU - Xu, Min
AU - Sun, Hongchao
AU - Li, Zifan
AU - Xiu, Fei
AU - Zhou, Zhe
AU - Huang, Wei
AU - Liu, Juqing
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/5/15
Y1 - 2025/5/15
N2 - Multisensory fusion allow artificial neurons to capture and process abundant signals for perceptual enhancement. Apart from the extensively studied visual-tactile fusion, reports on visual-humid perception remains a challenge, which plays a crucial role for living organism in activities such as foraging, weather detection and locating water source. Here we demonstrate a bee-inspired multisensory spiking neuron (MSN) that comprise a capacitive humidity synapse, a resistive photodetector and a threshold- switching memristor. The MSN encodes visual and humidity inputs into a sequence of spike events, mimicking the quintessential function of a bio-neuron, including action potential, threshold-driven spiking, refractory period, and intensity-modulated spike- frequency. The fused spikes can distinguish between humidity and visual signals by decoupling the output frequencies and amplitudes. Simulation results depict that the cross-modal sensing approach achieves a heightened accuracy (96.67%) in object recognition for verifying flower authenticity. This research opens up a new avenue for constructing humid-visual spiking neurons to advance multisensory perception and intelligent recognition capabilities.
AB - Multisensory fusion allow artificial neurons to capture and process abundant signals for perceptual enhancement. Apart from the extensively studied visual-tactile fusion, reports on visual-humid perception remains a challenge, which plays a crucial role for living organism in activities such as foraging, weather detection and locating water source. Here we demonstrate a bee-inspired multisensory spiking neuron (MSN) that comprise a capacitive humidity synapse, a resistive photodetector and a threshold- switching memristor. The MSN encodes visual and humidity inputs into a sequence of spike events, mimicking the quintessential function of a bio-neuron, including action potential, threshold-driven spiking, refractory period, and intensity-modulated spike- frequency. The fused spikes can distinguish between humidity and visual signals by decoupling the output frequencies and amplitudes. Simulation results depict that the cross-modal sensing approach achieves a heightened accuracy (96.67%) in object recognition for verifying flower authenticity. This research opens up a new avenue for constructing humid-visual spiking neurons to advance multisensory perception and intelligent recognition capabilities.
KW - Authenticity identification
KW - Capacitive humidity synapse
KW - Cross-modal perception
KW - Multisensory spiking neuron
KW - Visual-humidity signals
UR - http://www.scopus.com/inward/record.url?scp=105002328664&partnerID=8YFLogxK
U2 - 10.1016/j.cej.2025.162479
DO - 10.1016/j.cej.2025.162479
M3 - 文章
AN - SCOPUS:105002328664
SN - 1385-8947
VL - 512
JO - Chemical Engineering Journal
JF - Chemical Engineering Journal
M1 - 162479
ER -