ArticlePLoS computational biology2016
The Emergence of Synaesthesia in a Neuronal Network Model via Changes in Perceptual Sensitivity and Plasticity.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.PLoS computational biology · 2021Article
- Reduced perceptual narrowing in synesthesia.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Synaesthesia: a distinct entity that is an emergent feature of adaptive neurocognitive differences.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Distinct colours in the 'synaesthetic colour palette'.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Stochastic resonance model of synaesthesia.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Review
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Authors and funding
3 authors.
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Abstract
Synaesthesia is an unusual perceptual experience in which an inducer stimulus triggers a percept in a different domain in addition to its own. To explore the conditions under which synaesthesia evolves, we studied a neuronal network model that represents two recurrently connected neural systems. The interactions in the network evolve according to learning rules that optimize sensory sensitivity. We demonstrate several scenarios, such as sensory deprivation or heightened plasticity, under which synaesthesia can evolve even though the inputs to the two systems are statistically independent and the initial cross-talk interactions are zero. Sensory deprivation is the known causal mechanism for acquired synaesthesia and increased plasticity is implicated in developmental synaesthesia. The model unifies different causes of synaesthesia within a single theoretical framework and repositions synaesthesia not as some quirk of aberrant connectivity, but rather as a functional brain state that can emerge as a consequence of optimising sensory information processing.
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