The paper is devoted to the review of the coherence resonance phenomenon in excitable
neural networks. In particular, we explain how coherence can be measured and how noise …

Although autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized
by social impairments, patients with ASD frequently manifest atypical sensory behaviors …

The idea that the brain learns generative models of the world has been widely promulgated.
Most approaches have assumed that the brain learns an explicit density model that assigns …

Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition with a wide
spectrum of symptoms, mainly characterized by social, communication, and cognitive …

Autism is a neurodevelopmental disorder of unknown etiology. Recently, there has been a
growing interest in sensory processing in autism as a core phenotype. However, basic …

Variations of environmental parameters, like thermo-hygrometric, acoustic, visual and indoor
air quality can influence the sensitivities of individuals on the spectrum. This paper presents …

Recent accounts of social cognition focus on how we do things together, suggesting that
becoming aligned relies on a reciprocal exchange of information. The next step is to develop …

Stochastic resonance (SR) is a phenomenon in which a certain amount of random noise
added to a weak subthreshold stimulus can enhance signal detectability. It is unknown how …

Radiomics with deep learning models have become popular in computer-aided diagnosis
and have outperformed human experts on many clinical tasks. Specifically, radiomic models …

Autism spectrum disorders (ASD) have long-term implications on functioning at multiple
levels. In this perspective, we offer a brainstem-informed autism framework (BIAF) that traces …