Flexible neuromorphic electronics that emulate biological neuronal systems constitute a
promising candidate for next‐generation wearable computing, soft robotics, and …

Chimeras are this year coming of age since they were first observed by Kuramoto and
Battogtokh in 2002 in a one-dimensional network of complex Ginzburg–Landau equations …

The cerebellar cortex is a well-studied brain structure with diverse roles in motor learning,
coordination, cognition and autonomic regulation. However, a complete inventory of …

Brain-machine interfaces (BMIs) combine methods, approaches, and concepts derived from
neurophysiology, computer science, and engineering in an effort to establish real-time …

In the hippocampus GABAergic local circuit inhibitory interneurons represent only~ 10–15%
of the total neuronal population; however, their remarkable anatomical and physiological …

Brain function relies on the ability of neurons to communicate with each other. Interneuronal
communication primarily takes place at synapses, where information from one neuron is …

Machine learning algorithms are generally developed in computer science or adjacent
disciplines and find their way into chemical modeling by a process of diffusion. Though …

Synchronous rhythms represent a core mechanism for sculpting temporal coordination of
neural activity in the brain-wide network. This review focuses on oscillations in the cerebral …

Studies of mechanisms in the brain that allow complicated things to happen in a coordinated
fashion have produced some of the most spectacular discoveries in neuroscience. This book …

One of the major challenges in modern biology is to understand how the molecular
components of a living cell operate in a highly noisy environment. What are the specific …