An all 2D bio-inspired gustatory circuit for mimicking physiology and psychology of feeding behavior
Subir Ghosh,
Andrew Pannone,
Dipanjan Sen,
Akshay Wali,
Harikrishnan Ravichandran and
Saptarshi Das ()
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Subir Ghosh: Penn State University
Andrew Pannone: Penn State University
Dipanjan Sen: Penn State University
Akshay Wali: Penn State University
Harikrishnan Ravichandran: Penn State University
Saptarshi Das: Penn State University
Nature Communications, 2023, vol. 14, issue 1, 1-10
Abstract:
Abstract Animal behavior involves complex interactions between physiology and psychology. However, most AI systems neglect psychological factors in decision-making due to a limited understanding of the physiological-psychological connection at the neuronal level. Recent advancements in brain imaging and genetics have uncovered specific neural circuits that regulate behaviors like feeding. By developing neuro-mimetic circuits that incorporate both physiology and psychology, a new emotional-AI paradigm can be established that bridges the gap between humans and machines. This study presents a bio-inspired gustatory circuit that mimics adaptive feeding behavior in humans, considering both physiological states (hunger) and psychological states (appetite). Graphene-based chemitransistors serve as artificial gustatory taste receptors, forming an electronic tongue, while 1L-MoS2 memtransistors construct an electronic-gustatory-cortex comprising a hunger neuron, appetite neuron, and feeding circuit. This work proposes a novel paradigm for emotional neuromorphic systems with broad implications for human health. The concept of gustatory emotional intelligence can extend to other sensory systems, benefiting future humanoid AI.
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41046-7
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DOI: 10.1038/s41467-023-41046-7
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