The brain is composed of highly interconnected neural networks, and research on these networks has ... using an adhesive layer. To ensure stable pattern formation on the flexible substrate, an ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human ...

Neural networks are AI models developed to tailor content for different user profiles. Modern technological advances have ...

An organic synapse array enables night vision and pattern recognition in insect robots by detecting near-infrared light and ...

CPGs. Their model shows that cell-type-specific connectivity and a dominant inhibitory drive could underlie rhythm generation. Excitatory input could act to enhance the frequency range of these ...

Abstract: We obtained, with artificial evolution, very small (one or two interneurons, one output neuron) spiking neural networks (SNNs) recognizing a simple temporal pattern in a continuous input ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...