Individual differences in sensory sensitivity: Further lessons from an Autism model

Henry Markram, Kamila Markram, Mônica Regina Favre
2019
Journal paper

Abstract

In this commentary, we join Ward (this issue) in the usefulness of conceptualizing neural output in terms of signal and noise relationships, to create the missing links between neural, behavioral and subjective sensory sensitivity. We draw from our work in the Intense World Theory of Autism and the valproic acid rodent model, to complement the discussion with the consideration of developmental time and function of the system, for a neural output to serve as a predictor of atypical outcome in sensory sensitivity, and guide personalized therapies.

Official source

https://infoscience.epfl.ch/record/266608?ln=en

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Individual differences in sensory sensitivity: Further lessons from an Autism model

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Bodily self-consciousness as a framework to link sensory information and self-related components of episodic memory: behavioral, neuroimaging, and clinical evidence

Deep Learning Generalization with Limited and Noisy Labels

Deep Learning Generalization with Limited and Noisy Labels

Bodily self-consciousness as a framework to link sensory information and self-related components of episodic memory: behavioral, neuroimaging, and clinical evidence

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models