The origin of machine and deep learning algorithms, which increasingly affect almost all aspects of contemporary life, is the learning mechanism of synaptic (weight) strengths connecting neurons in our brain. Attempting to imitate these brain functions, researchers bridged neuroscience and artificial intelligence over a half-century ago. However, since then, experimental neuroscience has not directly advanced the field of machine learning, and both disciplines—neuroscience and machine learning—have since developed independently.
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Researchers rebuild the bridge between neuroscience and artificial intelligence
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