Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

The neural circuits of the central nervous system are the regulatory pathways for feeling,
motion control, learning, and memory, and their dysfunction is closely related to various …

Biomimetic robots that replace living social interaction partners can help elucidate the
underlying interaction rules in animal groups. Our review focuses on the use of interactive …

Unprecedented advancements in the diagnosis and treatment of patients with disorders of
consciousness (DoC) have given rise to ethical questions about how to recognize and …

The human brain has a remarkable capacity for computation, and it has been theorized that
this capacity arises from the brain self-organizing into the critical state, a dynamical state …

The combination of recording and stimulation into closed-loop electrophysiological systems
is one of the most challenging topics in neuroscience and neural engineering. The …

Introduction: Forward programming enables the generation of highly pure excitatory and
inhibitory neurons from human pluripotent stem cells (hPSCs). This study is to establish and …

A hybrid neuro-robotic architecture was developed, where a biological neuronal network
was able to communicate with a small wheeled robot. The robot had to perform an obstacle …