معرفی
Joel Zylberberg is an Associate Professor in the Department of Biology at York University, holding a Canada Research Chair (Tier 2). His research focuses on understanding how the brain encodes sensory information, particularly in the visual cortex and retina, and translating this knowledge into advancements in machine learning and prosthetics. His work integrates computational neuroscience, theoretical physics, and artificial intelligence to develop technologies like camera-to-brain translators and next-generation retinal prosthetics.
Education details are not explicitly listed, but his research spans interdisciplinary areas including
- Biophysical neural adaptation mechanisms
- Machine learning algorithm optimization
- Synaptic plasticity dynamics
- Visual information processing
His recent articles emphasize bridging neuroscience and AI, exploring topics like neural network pruning, retinal computation models, and sleep-stage classification for medical applications. While no specific grants or awards are listed, his Canada Research Chair position highlights his recognized expertise.
