ArticleScientific reports2022
Emergence of sensory attenuation based upon the free-energy principle.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 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
- Awareness of being: a computational neurophenomenological model of mindfulness, mind-wandering, and meta-attentional control.Neuroscience of consciousness · 2026Article
- Modulation of sensory attenuation by intensive meditation practice: an active inference perspective.Neuroscience of consciousness · 2026Article
- Learning predictive signals within a local recurrent circuit.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Divisive attenuation based on noisy sensorimotor predictions accounts for excess variability in self-touch.Journal of neurophysiology · 2025Article
- Digital twin brain simulator for real-time consciousness monitoring and virtual intervention using primate electrocorticogram data.NPJ digital medicine · 2025Article
- Article
- 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
- Neural processing of self-touch and other-touch in anorexia nervosa and autism spectrum condition.NeuroImage. Clinical · 2022Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The brain attenuates its responses to self-produced exteroceptions (e.g., we cannot tickle ourselves). Is this phenomenon, known as sensory attenuation, enabled innately, or acquired through learning? Here, our simulation study using a multimodal hierarchical recurrent neural network model, based on variational free-energy minimization, shows that a mechanism for sensory attenuation can develop through learning of two distinct types of sensorimotor experience, involving self-produced or externally produced exteroceptions. For each sensorimotor context, a particular free-energy state emerged through interaction between top-down prediction with precision and bottom-up sensory prediction error from each sensory area. The executive area in the network served as an information hub. Consequently, shifts between the two sensorimotor contexts triggered transitions from one free-energy state to another in the network via executive control, which caused shifts between attenuating and amplifying prediction-error-induced responses in the sensory areas. This study situates emergence of sensory attenuation (or self-other distinction) in development of distinct free-energy states in the dynamic hierarchical neural system.
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