Papers
7
Total Citations
115
H-Index
5
About
Hayato Idei is a computational neuroscientist whose research sits at the intersection of neurorobotics, cognitive science, and psychiatry, with a particular focus on understanding the mechanistic underpinnings of neurodevelopmental disorders such as autism spectrum disorder (ASD). His most influential work applies recurrent neural network models and robot simulations to investigate how aberrant sensory processing gives rise to the complex behavioral signatures observed in ASD. His 2018 paper simulating autistic behavior through unusual sensory precision has garnered 41 citations, establishing him as a notable voice in computational psychiatry. Idei's research has illuminated how disruptions such as hypersensory precision, overfitting to sensory noise, and functional disconnection within hierarchical neural architectures can produce hallmark symptoms including behavioral inflexibility, motor clumsiness, and paradoxical sensory reactivity — findings supported across multiple highly cited studies. A unifying thread in his work is the ambition to bridge fragmented biological and theoretical knowledge into coherent, testable models. His 2023 work extending this framework to explore multifinal and equifinal developmental pathways reflects his growing effort to build a more integrated computational account of neurodevelopmental conditions, offering meaningful tools for both researchers and clinicians.
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