Imagine your brain is a grand symphony, with different sections playing in perfect harmony. Researchers have discovered that rhythmic light flickers can act as conductors, modulating the brain’s oscillations and potentially rescuing them from neurological disorders. A neural network model was developed to investigate the effects of different brain states and various light flicker parameters […]
Diagnosing pediatric bipolar disorder (PBD) can be challenging, leading to potential misdiagnosis. However, machine learning algorithms have been developed to assist in the classification of bipolar disorder (BD). In this study, researchers used structural magnetic resonance imaging (MRI) data to extract brain features for classification. By reducing the dimensionality of the features and applying various […]
Reinforcement learning, the driving force behind AI advancements, has been supercharged by a blend of backpropagation (BP) and Equilibrium Propagation (EP). BP has a long history of training neural networks, mastering image classification, speech recognition, and even reinforcement learning tasks. However, doubts loom over its biological plausibility as a neural learning mechanism. Enter EP, a […]
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