Byron M. Yu

Jan 17, 2025 | engineering.cmu.edu | Byron M. Yu

Neural network models that are able to make decisions or store memories have long captured scientists’ imaginations. In these models, a hallmark of the computation being performed by the network is the presence of stereotyped sequences of activity, akin to one-way paths. This idea was pioneered by John Hopfield, who was notably co-awarded the 2024 Nobel Prize in Physics(opens in new window), along with former Carnegie Mellon University faculty member Geoffrey E. Hinton.

Sep 17, 2024 | engineering.cmu.edu | Byron M. Yu

Developing large-scale neural network models that mimic the brain’s activity is a major goal in the field of computational neuroscience. Existing models that accurately reproduce aspects of brain activity are notoriously complex, and fine-tuning model parameters often requires significant time, intuition and expertise.

Jan 28, 2024 | nature.com | Raeed H. Chowdhury |Aaron P. Batista |Byron M. Yu

AbstractThe most prominent characteristic of motor cortex is its activation during movement execution, but it is also active when we simply imagine movements in the absence of actual motor output. Despite decades of behavioural and imaging studies, it is unknown how the specific activity patterns and temporal dynamics in motor cortex during covert motor imagery relate to those during motor execution.

Oct 6, 2023 | cmu.edu | Byron M. Yu

Tirin Moore of Stanford University has been named the next recipient of the Andrew Carnegie Prize in Mind and Brain Sciences(opens in new window). Established by the Carnegie Corporation of New York(opens in new window) as part of its centennial celebration, the prize recognizes trailblazers in the brain and behavioral sciences whose research has helped advance the field and its applications. The award will be presented at a hybrid event on Thursday, Oct.