Bioelectronic interfacing with the human body including electrical stimulation and recording
of neural activities is the basis of the rapidly growing field of neural science and engineering …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

The use of bioelectronic devices relies on direct contact with soft biotissues. For transistor-
type bioelectronic devices, the semiconductors that need to have direct interfacing with …

Neurons have diverse molecular, morphological, connectional and functional properties. We
believe that the only realistic way to manage this complexity—and thereby pave the way for …

Fibers, originating from nature and mastered by human, have woven their way throughout
the entire history of human civilization. Recent developments in semiconducting polymer …

Magnetic fields from neuronal action potentials (APs) pass largely unperturbed through
biological tissue, allowing magnetic measurements of AP dynamics to be performed …

Bidirectional interfacing with the nervous system enables neuroscience research, diagnosis,
and therapy. This two-way communication allows us to monitor the state of the brain and its …

To understand the physiology and pathology of electrogenic cells and the corresponding
tissue in their full complexity, the quantitative investigation of the transmission of ions as well …

Current electrophysiological or optical techniques cannot reliably perform simultaneous
intracellular recordings from more than a few tens of neurons. Here we report a …

Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …