triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and ...

Abstract: Event camera-based pattern recognition is a newly arising research topic in recent years. Current researchers usually transform the event streams into images, graphs, or voxels, and adopt ...

Abstract: Nonlinear activation function is a type of function that operates within artificial neural networks ... into an iris classification network. The effectiveness of the design was demonstrated ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...

Enzyme kinetic data from the BRENDA database were mapped onto the genome-scale metabolic model of Saccharomyces cerevisiae to ...

Glial cells, once thought to serve only supportive roles in the brain, are now recognized as active participants in neural processing. Comprising ...