Memristive and nanoionic devices have recently emerged as leading candidates for
neuromorphic computing architectures. While top-down fabrication based on conventional …

Despite its great promise, neuroimaging has yet to substantially impact clinical practice and
public health. However, a develo** synergy between emerging analysis techniques and …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Recent advances in magnetic resonance imaging methods, including data acquisition, pre-
processing and analysis, have benefited research on the contributions of subcortical brain …

A crucial role for working memory in temporary information processing and guidance of
complex behavior has been recognized for many decades. There is emerging consensus …

A proposal for a fully post-phrenological neuroscience that details the evolutionary roots of
functional diversity in brain regions and networks. The computer analogy of the mind has …

A core component of cognitive control–the ability to regulate thoughts and actions in
accordance with internally represented behavioral goals–might be its intrinsic variability. In …

Abstract The Hodgkin–Huxley model for action potential generation in biological axons is
central for understanding the computational capability of the nervous system and emulating …

Individuals with schizophrenia consistently display deficits in a multitude of cognitive
domains, but the neurobiological source of these cognitive impairments remains unclear. By …

Our understanding of how the human brain performs mathematical calculations is far from
complete, but in recent years there have been many exciting breakthroughs by scientists all …