Neuronal Ensemble

Neuronal ensembles, groups of neurons working together to process information, are a key focus in neuroscience and artificial intelligence research. Current research investigates how these ensembles form, learn, and adapt, employing models like Hebbian networks and exploring algorithms such as Forward-Forward and variations of backpropagation to improve their biological plausibility and efficiency in artificial systems. Understanding neuronal ensembles is crucial for advancing artificial general intelligence, improving continual learning in AI, and gaining insights into brain function and information processing in biological systems, particularly in contexts of limited data. This research also has implications for enhancing human-computer collaboration and cognitive augmentation.