1 research outputs found
Deterministic Multimodal Perturbation Enables Neuromorphic-Compatible Signal Multiplexing
Human
multisensory neurons integrate multiple sensory information
obtained from the external environment for precise interpretation
of an event. Inspired by biological multisensory integration/multiplexing
behavior, an artificial multimodal integration system capable of emulating
the perception of discomfort based on the integration of multiple
sensory signals is presented. The system utilizes a sensory ring oscillator
that concisely and efficiently integrates thermosensory and hygrosensory
signals from artificial receptors into voltage pulses whose amplitude
and frequency reflect the two individual sensory signals. Subsequently,
a synaptic transistor translates voltage pulses into a postsynaptic
current, which exhibits a high correlation with the calculated humidex.
Finally, the feasibility of the artificial multimodal integration
system is successfully demonstrated using light-emitting diode discomfort
indicators, suggesting that the proposed system can act as a foundation
for future studies pertaining to neuromorphic perception and complex
neurorobotics
