The human brain completes intelligent behaviors such as the generation, transmission, and
storage of neural signals by regulating the ionic conductivity of ion channels in neuron cells …

The human brain performs computations via a highly interconnected network of neurons.
Taking inspiration from the information delivery and processing mechanism of the human …

Reproducing ion channel–based neural functions with artificial fluidic systems has long
been an aspirational goal for both neuromorphic computing and biomedical applications. In …

We demonstrate a multipore nanofluidic memristor with conical pores showcasing a wide
range of hysteresis and memristor properties that provide functionalities for brainlike …

Experiments have shown that the conductance of conical channels, filled with an aqueous
electrolyte, can strongly depend on the history of the applied voltage. These channels hence …

The brain's remarkable and efficient information processing capability is driving research
into brain-inspired (neuromorphic) computing paradigms. Artificial aqueous ion channels …

Brain-inspired neuromorphic computing is currently being investigated for effective artificial
intelligence (AI) systems. The development of artificial neurons and synapses is imperative …

The emergence of nanofluidic memristors has made a giant leap to mimic the neuromorphic
functions of biological neurons. Here, we report neuromorphic signaling using Angstrom …

Relentlessly rising energy demands in computing call for rethinking hardware paradigms
with energy efficiency in mind. Nature's example—the brain—raises the question: How can …

Nanofluidic memristors are memory resistors based on nanoconfined fluidic systems
exhibiting history‐dependent ion conductivity. Toward establishing powerful computing …