From Neurons to Equations: How Do We Model the Brain?
At some point in neuroscience, a quiet but uncomfortable question appears: How do we actually explain what the brain is doing? Not just describe it. Not list its parts. But…
At some point in neuroscience, a quiet but uncomfortable question appears: How do we actually explain what the brain is doing? Not just describe it. Not list its parts. But…
When people ask how the brain works, they usually expect a single, satisfying answer—something clear, complete, and definitive. But the reality is far more layered. The brain is not a…
If you ask ten neuroscientists how the brain works, you may get ten different answers—and not because anyone is confused. It’s because the brain can be understood at many levels,…
Levin is an Associate Professor in data science, AI and digital health. He is a data scientist, AI engineer, computational neuroscientist and neural engineer. His research areas include signal processing, control theory, machine learning, statistics and computational neuroscience applications to neuroscience, digital health, neural engineering, neuroimaging and medicine.