Results 161 to 170 of about 64,815 (293)
Six artificial intelligence strategies advance autism research from tool optimization to paradigm shift: causal modeling, spatiotemporal networks, multimodal integration, digital twins, social cognition mapping, collaborative learning, and context‐aware interventions for precision care.
Ting Zhang +3 more
wiley +1 more source
Chronic pain reflects maladaptive network interactions across sensory, salience/affective, and descending modulatory pathways. We review evidence for non‐invasive brain stimulation—rTMS, tES, and low‐intensity focused ultrasound—highlighting modest, variable, and often short‐lived analgesic effects under conventional protocols.
Fabian Broecker, Sven Vanneste
wiley +1 more source
Causal evidence for cholinergic stabilization of attractor landscape dynamics
Summary: There is substantial evidence that neuromodulatory systems critically influence brain state dynamics; however, most work has been purely descriptive.
Natasha L. Taylor +9 more
doaj +1 more source
Unilateral mastication, a common oral habit, induces cognitive decline in rats by disrupting hippocampal cholesterol metabolism. It triggers astrocyte hyperplasia, enhances cholesterol synthesis, impairs transport/degradation, and reduces 24‐hydroxycholesterol (24‐OHC), ultimately damaging synaptic function.
Xiaoting Zhai +9 more
wiley +1 more source
fMRI measurements of orientation-selective adaptation
D. Ress, D. J. Heeger
openaire +1 more source
ABSTRACT Introduction Cognitive impairment in mood disorders and schizophrenia spectrum disorders hampers patients' clinical and functional outcomes. A key challenge in pro‐cognitive treatment development is the limited insight into the underlying neurocircuitry correlates of cognitive changes.
Viktoria Damgaard +10 more
wiley +1 more source
Unveiling the factors of aesthetic preferences with explainable AI
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley +1 more source
The state of modelling face processing in humans with deep learning
Abstract Deep learning models trained for facial recognition now surpass the highest performing human participants. Recent evidence suggests that they also model some qualitative aspects of face processing in humans. This review compares the current understanding of deep learning models with psychological models of the face processing system ...
P. Jonathon Phillips, David White
wiley +1 more source
Psychedelics, entactogens and psychoplastogens for depression and related disorders
Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PTSD agents, include psychedelics e.g. psilocybin, LSD, N,N‐dimethyltryptamine, ayahuasca; non‐hallucinogenic entactogens, e.g. MDMA; psychoplastogens which rapidly promote neuroplasticity, e.g.
Daniel Hoyer
wiley +1 more source
Can single-neuron frequency tuning in human auditory cortex be quantified through fMRI adaptation?
Besle J +3 more
europepmc +1 more source

