Approaching limitations of digital computing technologies have spurred research in
neuromorphic and other unconventional approaches to computing. Here we argue that if we …

Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Dopamine is a critical modulator of both learning and motivation. This presents a problem:
how can target cells know whether increased dopamine is a signal to learn or to move? It is …

Synthetic biology and bioengineering provide the opportunity to create novel embodied
cognitive systems (otherwise known as minds) in a very wide variety of chimeric …

Cognitive function requires the coordination of neural activity across many scales, from
neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory …

In the human brain, spontaneous activity during resting state consists of rapid transitions
between functional network states over time but the underlying mechanisms are not …

In this paper, we argue for a theoretical separation of the free-energy principle from
Helmholtzian accounts of the predictive brain. The free-energy principle is a theoretical …

In this paper, we set out to develop a theoretical and conceptual framework for the new field
of Radical Embodied Cognitive Neuroscience. This framework should be able to integrate …

A widely discussed hypothesis in neuroscience is that transiently active ensembles of
neurons, known as" cell assemblies," underlie numerous operations of the brain, from …

Characterization of large‐scale brain networks using blood‐oxygenation‐level‐dependent
functional magnetic resonance imaging is typically based on the assumption of network …