Noga Larry

Noga Larry is a Postdoctoral Research Associate Fellow at the Neuroscience Institute, Carnegie Mellon University. Her work focuses on understanding neural mechanisms underlying reward processing and movement encoding, particularly in the basal ganglia and cerebellum. She collaborates with advisors Byron Yu, Matthew Smith, Steve Chase, and Aaron Batista.

• PhD and MSc in Neuroscience, The Hebrew University
• BA in Psychology and Cognitive Sciences, Ben Gurion University

Her research explores the intersection of neurophysiology, computational neuroscience, and neural networks, with a focus on how brain regions like the basal ganglia and cerebellum process reward and movement signals. Recent work examines noise correlations, signal-to-noise ratios, and high-dimensional neural encoding in motor control.

Key trends from her publications include:

• Basal ganglia-cerebellum interactions in reward processing
• Neural mechanisms of movement encoding
• Signal attenuation and noise correlation analysis
• Computational modeling of neural pathways