Yiyin Zhou
About
Yiyin Zhou is an Assistant Professor of Computer Science at Fordham University, where his research lies at the intersection of Computational Neuroscience and Neuroinformatics. His work is primarily focused on understanding the functional logic of neural circuits, particularly using the Drosophila (fruit fly) brain as a model organism to decode how sensory information is transformed into behavior. Dr. Zhou specializes in Brain-inspired Computing, leveraging insights from biological neural architectures to develop novel machine learning models and artificial intelligence frameworks. He is a key contributor to the development of open-source software tools and hardware-accelerated platforms for large-scale neural circuit simulation and data analysis. By mapping the complex interactions within the fly's connectome, his research aims to bridge the gap between biological intelligence and next-generation autonomous systems, contributing to our fundamental understanding of both natural and artificial cognition.
Research Performance Summary
First Recorded Paper
Encoding natural scenes with neural circuits with random thresholds
Year: 2010
Citations: 38
Venue: Vision research 50 (22)
Latest Recorded Paper
Elements of Olfactory Intelligence in Drosophila
Year: 2026
Citations: 0
Venue: bioRxiv
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.