Matthew Chalk
Scholar

Matthew Chalk

Google Scholar ID: eUTdJEcAAAAJ
Sorbonne Universite
Computational Neuroscience
Citations & Impact
All-time
Citations
630
 
H-index
11
 
i10-index
13
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Works on understanding how neurons in low-level visual areas encode simple aspects of visual scenes, such as local motion and changes in contrast, and explores how such functional objectives influence the dynamics and connectivity of neural circuits.
Background
  • Interested in the principles of sensory neural coding; addresses this by constructing theoretical models of neural activity in low-level visual areas, such as the retina and primary visual cortex, to discover principles that account for observed patterns of neural activity. Focuses on how neurons in these areas encode simple aspects of visual scenes, like local motion and changes in contrast, and how functional objectives play a role in determining the dynamics and connectivity of neural circuits.