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A Georgia Tech study challenges a decades-old explanation for one of neuroscience's most famous signals, revealing an intrinsic neural code for tracking time.
The Georgia Tech researcher and longtime neuroscience community leader will help catalyze new collaborations and research opportunities across the Institute for Neuroscience, Neurotechnology, and Society (INNS).
A running theme throughout the conference was the growing influence of cutting-edge technologies like artificial intelligence — and how researchers are preparing for the ethical, social and practical challenges that they bring.
A new study co-led by Anna (Anya) Ivanova highlights how human neuroscience is paving the way for AI innovation — and what AI can teach us about ourselves.