Neuroscience

Brain-Inspired AI: How Neuroscience Helps to Advance Machine Learning

While building artificial systems does not necessarily require copying nature — after all, airplanes fly without flapping their wings like birds — the history of AI and machine learning convincingly demonstrates that drawing inspirations from neuroscience and psychology can lead to significant breakthroughs, with deep neural networks and reinforcement learning being perhaps the two most […]

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Computational Neuroscience

New Issue of the IBM Journal of Research and Development   Understanding the brain’s dynamics is of central importance to neuroscience. Our ability to observe, model, and infer from neuroscientific data the principles and mechanisms of brain dynamics determines our ability to understand the brain’s unusual cognitive and behavioral capabilities. Our guest editors, James Kozloski, […]

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IBM 5 in 5: With AI, our words will be a window into our mental health

As a neuroscientist, I want to understand the brain. Beyond just the physical structures of neurons and the synapses, but how it works. How is it that we think? How is it that two pounds of protein and water can produce this amazing, complex organ that literally drives humanity? Ultimately, behavior is what the brain […]

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The mechanisms of intelligence

Yasunori Yamada, a computational neuroscientist at IBM Research – Tokyo, has long been fascinated by human intelligence, consciousness and robots. “We humans can learn autonomously, behave flexibly, and exploit and adapt to an environment. But understanding the mechanisms of intelligence is no easy task,” Yasunori said. When Yasunori was in high school, he discovered Franz […]

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