Kaiser Arndt

Kaiser is an in vivo electrophysiologist and computational neuroscientist. He received his BSc in Microbiology and Genetics from Iowa State University in 2018 and his PhD in Neuroscience from Virginia Tech in 2024. Using massive scale neuronal recordings, Kaiser’s work focuses on understanding how an understudied brain region known as the retrosplenial cortex encodes information about the world to support learning and memory, spatial navigation, and egocentric/ allocentric orientation. To accomplish this, Kaiser’s work uses Bayesian inference, Markov processes, and network learning to decode the neuronal coordination that is used to represent an animal’s experience and to predict an animal’s next behavior. Understanding biological neuronal organization and information processing dynamics will provide useful insights into the biological structure of neural networks. These advances can then be used to inspire artificial neural network development and optimization to improve aspects like raw computation power, energy efficiency, and task flexibility.