ArticleProceedings of the National Academy of Sciences of the United States of America2015
A computational perspective on autism.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.
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Who cites it
90 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions.Metabolic brain disease · 2024Pooled it
- High-dose Vitamin-B6 reduces sensory over-responsivity.Journal of psychopharmacology (Oxford, England) · 2024Trial
- People with autism perceive drastic illusory changes for repeated verbal stimuli.Scientific reports · 2019Trial
- Altered spectral patterns of aperiodic electroencephalography in autism.Psychiatry and clinical neurosciences · 2026Article
- A novel image-based neuronal network model framework for understanding visual multistability and neurological disorders.Frontiers in computational neuroscience · 2026Article
- Large-scale maps of altered cortical dynamics in early-stage psychosis are related to GABAergic and glutamatergic neurotransmission.Science advances · 2025Article
- Computational Neuroscience's Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate.Biomedicines · 2025Review
- Autism spectrum disorder variation as a computational trade-off via dynamic range of neuronal population responses.Nature neuroscience · 2024Article
- Transitive inference in a clinical childhood sample with a focus on autism spectrum disorder.Autism research : official journal of the International Society for Autism Research · 2024Article
- Article
- Increased number of excitatory synapsis and decreased number of inhibitory synapsis in the prefrontal cortex in autism.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Virtual environments as a novel and promising approach in (neuro)diagnosis and (neuro)therapy: a perspective on the example of autism spectrum disorder.Frontiers in neuroscience · 2024Article
- Review: Cancer and neurodevelopmental disorders: multi-scale reasoning and computational guide.Frontiers in cell and developmental biology · 2024Review
- Endogenous noise of neocortical neurons correlates with atypical sensory response variability in the Fmr1Nature communications · 2023Article
- Temporal dynamics of normalization reweighting.Journal of vision · 2023Article
- A theory of autism bridging across levels of description.Trends in cognitive sciences · 2023Review
- Amelioration of olfactory dysfunction in a mouse model of Parkinson's disease via enhancing GABAergic signaling.Cell & bioscience · 2023Article
- A revisit of the amygdala theory of autism: Twenty years after.Neuropsychologia · 2023Review
- Excitatory/inhibitory imbalance in autism: the role of glutamate and GABA gene-sets in symptoms and cortical brain structure.Translational psychiatry · 2023Article
- New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics.Frontiers in computational neuroscience · 2023Article
30 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Autism is a neurodevelopmental disorder that manifests as a heterogeneous set of social, cognitive, motor, and perceptual symptoms. This system-wide pervasiveness suggests that, rather than narrowly impacting individual systems such as affection or vision, autism may broadly alter neural computation. Here, we propose that alterations in nonlinear, canonical computations occurring throughout the brain may underlie the behavioral characteristics of autism. One such computation, called divisive normalization, balances a neuron's net excitation with inhibition reflecting the overall activity of the neuronal population. Through neural network simulations, we investigate how alterations in divisive normalization may give rise to autism symptomatology. Our findings show that a reduction in the amount of inhibition that occurs through divisive normalization can account for perceptual consequences of autism, consistent with the hypothesis of an increased ratio of neural excitation to inhibition (E/I) in the disorder. These results thus establish a bridge between an E/I imbalance and behavioral data on autism that is currently absent. Interestingly, our findings implicate the context-dependent, neuronal milieu as a key factor in autism symptomatology, with autism reflecting a less "social" neuronal population. Through a broader discussion of perceptual data, we further examine how altered divisive normalization may contribute to a wide array of the disorder's behavioral consequences. These analyses show how a computational framework can provide insights into the neural basis of autism and facilitate the generation of falsifiable hypotheses. A computational perspective on autism may help resolve debates within the field and aid in identifying physiological pathways to target in the treatment of the disorder.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.