ArticleFrontiers in psychiatry2020
Homogeneous Intrinsic Neuronal Excitability Induces Overfitting to Sensory Noise: A Robot Model of Neurodevelopmental Disorder.
Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Predictive processing as a scalable computational principle for embodied multitask intelligence.Science advances · 2026Article
- Perceptual distortions in PredNet and quantification of top-down/bottom-up flow.Frontiers in computational neuroscience · 2026Article
- Personalized deep neural networks reveal mechanisms of math learning disabilities in children.Science advances · 2025Article
- Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data.NPJ digital medicine · 2025Article
- Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability.bioRxiv : the preprint server for biology · 2024Article
- Aberrant sense of agency induced by delayed prediction signals in schizophrenia: a computational modeling study.Schizophrenia (Heidelberg, Germany) · 2023Article
- Simulating developmental diversity: Impact of neural stochasticity on atypical flexibility and hierarchy.Frontiers in psychiatry · 2023Article
- Interaction between Functional Connectivity and Neural Excitability in Autism: A Novel Framework for Computational Modeling and Application to Biological Data.Computational psychiatry (Cambridge, Mass.) · 2023Article
- Emergence of sensory attenuation based upon the free-energy principle.Scientific reports · 2022Article
- Neural network modeling of altered facial expression recognition in autism spectrum disorders based on predictive processing framework.Scientific reports · 2021Article
- Psychiatric disorders as failures in the prediction machine.Psychiatry and clinical neurosciences · 2021Article
- Deficits in Prediction Ability Trigger Asymmetries in Behavior and Internal Representation.Frontiers in psychiatry · 2020Review
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Authors and funding
4 authors.
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Abstract
Neurodevelopmental disorders, including autism spectrum disorder, have been intensively investigated at the neural, cognitive, and behavioral levels, but the accumulated knowledge remains fragmented. In particular, developmental learning aspects of symptoms and interactions with the physical environment remain largely unexplored in computational modeling studies, although a leading computational theory has posited associations between psychiatric symptoms and an unusual estimation of information uncertainty (precision), which is an essential aspect of the real world and is estimated through learning processes. Here, we propose a mechanistic explanation that unifies the disparate observations
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