Dmitri “Mitya” Chklovskii, PhD
–Contact him dchklovskii(replace this with the @ sign)simonsfoundation.org.
The human brain makes sense of the world and comes up with new ideas with an efficiency, speed and accuracy unattainable by modern computers. Our goal is to understand how the brain analyzes large and complex datasets streamed by sensory organs in order to aid efforts at building artificial neural systems and treating mental illness. We analyze experimental data, assembling connectomes from high-throughput electron microscopy and determining neuronal dynamics from calcium imaging and multi-electrode recordings. In addition, we are developing a novel algorithmic theory of neural computation.
- Cerebellar granule cells acquire a widespread predictive feedback signal during motor learning
- A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A
Derivation from Multidimensional Scaling of Streaming Data
- A consistent muscle activation strategy underlies crawling and swimming
in Caenorhabditis elegans.
- Toward large-scale connectome reconstructions
- More publications here.