We propose a non-representationalist framework for deep learning relying on a novel
method computational phenomenology, a dialogue between the first-person perspective …

The development of biologically-inspired computational models has been the focus of study
ever since the artificial neuron was introduced by McCulloch and Pitts in 1943. However, a …

Histamine is a modulatory neurotransmitter, which has received relatively less attention in
the central nervous system than other neurotransmitters. The functional role of histamine in …

We propose a non-representationalist framework for deep learning relying on a novel
method: computational phenomenology, a dialogue between the first-person perspective …

Understanding how language and linguistic constructions are processed in the brain is a
fundamental question in cognitive computational neuroscience. In this study, we explore the …

Studying how animals communicate with sound allows researchers to answer a wide range
of questions, from “What species of birds live in this area?”, to “How do mice mothers protect …

Recent progress in artificial intelligence (AI) has been driven by insights from neuroscience,
particularly with the development of artificial neural networks (ANNs). This has significantly …

This review provides a thorough examination of recent developments in artificial intelligence
analysis methods within mental and psychiatry field. By analyzing and comparing results …

This study investigates how BERT processes and represents Argument Structure
Constructions (ASCs), extending previous LSTM analyses. Using a dataset of 2000 …

Background Parkinson's disease (PD) ranks as the second most prevalent
neurodegenerative disorder globally, and its incidence is rapidly rising. The diagnosis of PD …