Research news on Neuroscience, neural computation & artificial intelligence

Neuroscience, neural computation, and artificial intelligence constitute an integrative research area that investigates the principles of information processing in nervous systems and applies them to computational models and algorithms. It encompasses the study of neural coding, synaptic plasticity, network dynamics, and cognitive architectures, with the dual goals of explaining brain function and developing biologically inspired machine learning methods. Neural computation formalizes neuronal and circuit-level processes using mathematical models and simulations, while artificial intelligence leverages these insights to design architectures such as neural networks and reinforcement learning systems, enabling tasks like perception, decision-making, and control in both biological and artificial agents.

Nature might have a universal rhythm

Animal communication can look wildly different—flashing lights, chirping calls, croaking songs and elaborate dances. But new research from Northwestern University suggests many of these signals share a surprising feature: ...

Fly ball: Drosophila can learn while playing with tiny spheres

For more than a century, the fruit fly has been a workhorse of the biological sciences that has helped scientists to make fundamental breakthroughs in fields such as genetics and neuroscience. As it turns out, human scientists ...

Gut bacteria may influence social behavior through smell

In a new study, Northwestern University neurobiologists discovered that gut bacteria and the nose work together to shape social behavior in mice, including who fights and who backs down. Using a combination of genetic and ...

Seals and sea lions provide clues to evolution of vocalization

Neuroscientists have uncovered new insights into a key evolutionary question: Why can humans talk when most animals can't? The journal Science published the research led by Emory University and the New College of Florida. ...

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