Understanding how neuronal activity patterns in the brain correlate with complex behavior is
one of the primary goals of modern neuroscience. Chemical transmission is the major way of …

Decoding behavior, perception or cognitive state directly from neural signals is critical for
brain–computer interface research and an important tool for systems neuroscience. In the …

A long-standing question in systems neuroscience is to what extent task-relevant features of
neocortical processing are localized or distributed. Coordinated activity across the neocortex …

We present a high-resolution miniature, light-weight fluorescence microscope with
electrowetting lens and onboard CMOS for high resolution volumetric imaging and …

Thrombocytopenia is a common haematological problem worldwide. Currently, there are no
relatively safe and effective agents for the treatment of thrombocytopenia. To address this …

Miniaturized calcium imaging is an emerging neural recording technique that has been
widely used for monitoring neural activity on a large scale at a specific brain region of rats or …

Brain-computer interfaces (BCI) can help people with motor disorders to regain their ability
to communicate and interact with the surrounding environment. The majority of studies in …

Objective. Brain–machine interfaces (BMIs) aim to restore sensorimotor function to
individuals suffering from neural injury and disease. A critical step in implementing a BMI is …

Mild traumatic brain injury (mTBI) is the most common form of traumatic brain injury (TBI), yet
its timely diagnosis has remained challenging due to lack of established criteria and …

Deep learning is a powerful tool for neural decoding, broadly applied to systems
neuroscience and clinical studies. Interpretable and transparent models that can explain …