In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate artificial neuron and synaptic devices, and it is necessary to reduce mass ...

A new technical paper titled “An Artificial Neuron with a Leaky Fin-Shaped Field-Effect Transistor for a Highly Scalable Capacitive Neural Network” was published by researchers at KAIST (Korea ...

IDG Figure 1. A two-input neuron in a neural network. This model has a wide range of variability, but we’ll use this exact configuration for the demo.

This particular type of neural network is called a Spiking Neural Network (SNN) which uses discrete events, called “spikes”, instead of continuous real-valued activations.

“The neuron is one of the more complicated cells in the human body,” said Das. “Compared to other cells they have a very interesting, branched morphology, or structure. One of the things we would like ...

A long-range, recurrent neuronal network linking the emotion regions with the somatic motor cortex. Cell Reports, 2021; 36 (12): 109733 DOI: 10.1016/j.celrep.2021.109733 ...

Training neural networks to perform tasks, such as recognizing images or navigating self-driving cars, could one day require less computing power and hardware thanks to a new artificial neuron ...

Researchers from RIT and six other universities are teaming up to build synthetic neurons and a programmable network of such neurons in an effort to better understand the rules of life. The project is ...

And the two scientists learned that a recurrent neural network structure, or RNN, is responsible for those functions. “This RNN receives inputs from emotional regions of the brain and sends outputs to ...