Numerous light-based diagnostic and therapeutic devices are routinely used in the clinic.
These devices have a familiar look as items plugged in the wall or placed at patients' …

Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …

Content Summary 414 I. Introduction 415 II. Ca2+ importer and exporter in plants 415 III. The
Ca2+ decoding toolkit in plants 415 IV. Mechanisms of Ca2+ signal decoding 417 V …

Experimental efforts to understand how the brain represents, stores and processes
information require high-fidelity recordings of multiple different forms of neural activity within …

Over the past 20 years, protein engineering has been extensively used to improve and
modify the fundamental properties of fluorescent proteins (FPs) with the goal of adapting …

Monitoring and modulating the diversity of signals used by neurons and glia in a closed-loop
fashion is necessary to establish causative links between biochemical processes within the …

Optoelectronic synaptic devices have been attracting increasing attention due to their critical
role in the development of neuromorphic computing based on optoelectronic integration …

Synaptic devices for neuromorphic computing have been recently on the fast track of
development. One of the most prominent features of synaptic devices is their potentially ultra …

Neuromorphic devices provide a hardware platform to implement synaptic functions into
artificial electronic devices, which opens a new way to overcome the von Neumann …

Reversibly photo-switchable proteins are essential for many super-resolution fluorescence
microscopic and optoacoustic imaging methods. However, they have yet to be used as …