In this paper, a new neuron model with different output-feedback factor and a neural network model that is composed of output feedback neural model are proposed. And its learning algorithm is derived ...

The project demonstrates how to build and train a neural network directly within a graph database environment. By leveraging Neo4j's native graph structure, neural networks can be modeled in their ...

📂 Project Summary The project demonstrates how to build and train a neural network directly within a graph database environment. By leveraging Neo4j's native graph structure, neural networks can be ...

Developing efficient adaptive learning techniques for spiking neural networks (SNNs) presents a challenge, primarily due to the unique encoding of spike trains and their implicit nonlinear dynamics.

Neurotransmission. the presynaptic neuron releases a neurotransmitter, which activates receptors on the postsynaptic neuron. Synapse Structure. Neurotransmitter, synaptic vesicles and synaptic cleft.

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 ...

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 ...