The past decade has witnessed the great success of deep neural networks in various
domains. However, deep neural networks are very resource-intensive in terms of energy …

According to cognitive psychology and related disciplines, the development of complex
problem-solving behaviour in biological agents depends on hierarchical cognitive …

Q-learning is arguably one of the most applied representative reinforcement learning
approaches and one of the off-policy strategies. Since the emergence of Q-learning, many …

Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …

NengoDL is a software framework designed to combine the strengths of neuromorphic
modelling and deep learning. NengoDL allows users to construct biologically detailed …

We propose that humans spontaneously organize environments into clusters of states that
support hierarchical planning, enabling them to tackle challenging problems by breaking …

To adjust expectations efficiently, prediction errors need to be associated with the precise
features that gave rise to the unexpected outcome, but this credit assignment may be …

Emotion theory needs to explain the relationship of language and emotions, and the
embodiment of emotions, by specifying the computational mechanisms underlying emotion …

To navigate in new environments, an animal must be able to keep track of its position while
simultaneously creating and updating an internal map of features in the environment, a …

In his original article on human motivation, Abraham Maslow said “The present theory then
must be considered to be a suggested program or framework for future research and must …