The field of AI is notoriously filled with jargon. To better understand what is going on, here is a series of explainers, ...

Guo-Xing Miao, Professor at the University of Waterloo, guides us through programmable iontronic neural networks ...

This study presents useful findings on the differences between male and hermaphrodite C. elegans connectomes and how they may result in changes in locomotory behavioural outputs. However, the study ...

Neural networks are built upon several key components that work together to process data and make predictions: A neural network's basic computational units (also called nodes). Each neuron receives ...

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Contemporary modeling approaches to the dynamics of neural networks include two important classes of models: biologically grounded spiking neuron models and functionally inspired rate-based ...

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This is a lightweight repository of bayesian neural network for PyTorch. @article{lee2022graddiv, title={Graddiv: Adversarial robustness of randomized neural networks via gradient diversity ...

Abstract: The Spiking Neural Network (SNN) diverges from conventional rate-based network models by showcasing ... Fundamentally, the model provides an adjustable method based on orthogonal polynomials ...

The research involved studying movement control in mice using a combination of optogenetics (controlling neural activity with ...

The performance of the robotic manipulator is negatively impacted by outside disturbances and uncertain parameters. The system’s variables are also highly coupled, complex, and nonlinear, indicating ...