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cs.NE2025
Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle
Mehran H. Bazargani, Szymon Urbas, Karl Friston
Deep learning has revolutionised artificial intelligence (AI) by enabling automatic feature extraction and function approximation from raw data. However, it faces challenges such a…
cs.NE2023
Brain in the Dark: Design Principles for Neuro-mimetic Learning and Inference
Mehran H. Bazargani, Szymon Urbas, Karl Friston
Even though the brain operates in pure darkness, within the skull, it can infer the most likely causes of its sensory input. An approach to modelling this inference is to assume th…