Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

So far, computing via a biological neural network has been done only with DNA in test tubes or with gene circuits, Chen says. Computing with proteins is fairly new.

Scientists have linked up two silicon-based artificial neurons with a biological one across multiple countries into a fully-functional network. Using standard internet protocols, they established a ...

(a) Schematic diagram of a biological neural network and (b) circuit schematic of an artificial neural network implemented in hardware using an artificial neuromorphic device.

Reservoir Computing (RC) is a special type of Recurrent Neural Network (RNN) that feeds inputs into a fixed-dynamics reservoir black box with training only occurring on the outputs, drastically ...

A review paper by scientists at the Beijing Institute of Technology summarized recent efforts and future potentials in the use of in vitro biological neural networks (BNNs) for the realization of ...

New types of computing architecture, which emulate the working principles of biological neural networks, hold the promise of faster, more energy-efficient data processing.

Infomorphic neurons, developed by researchers, are designed to learn independently and self-organize within artificial neural networks. Inspired by biological neurons, they process input signals in ...

Building chips with analogs of biological neurons and dendrites and neural networks like our brains is also key to the massive efficiency gains Rain Neuromorphics is claiming: 1,000 times more ...