Researchers across cognitive, neuro-and computer sciences increasingly reference 'human-
like'artificial intelligence and 'neuroAI'. However, the scope and use of the terms are often …

Artificial intelligence (AI) represents a rapidly developing field. Its use can improve diagnosis
and therapy in many areas of medicine. Despite this enormous progress, many physicians …

Deep learning has achieved remarkable success in many machine learning tasks such as
image classification, speech recognition, and game playing. However, these breakthroughs …

Over the last decade, the artificial intelligence (AI) has undergone a revolution that is poised
to transform the economy, society, and science. The pace of progress is staggering, and …

Artificial neural networks (ANNs) are a powerful class of computational models for
unravelling neural mechanisms of brain function. However, for neural control of movement …

Motor neuroscience and physics-based character animation (PBCA) approach human and
humanoid control from different perspectives. The primary goal of PBCA is to control the …

Much of the controversy evoked by the use of deep neural networks as models of biological
neural systems amount to debates over what constitutes scientific progress in neuroscience …

Deep learning techniques are increasingly used to automate categorization and
identification tasks for large datasets of digital photographs. For rasterized images formats …

Philosophers have long recognized the value of metaphor as a tool that opens new avenues
of investigation. By seeing brains as having the goal of representation, the computer …

In the field of audiology, achieving accurate discrimination of auditory impairments remains
a formidable challenge. Conditions such as deafness and tinnitus exert a substantial impact …