Getting a handle on how the brain generates complexity.
Sensory processing in cortex across modalities appears to rely on a "simple-to-complex" hierarchical computational strategy in which neurons at later levels in the hierarchy combine inputs from earlier levels to create more complex neuronal selectivities. The specifics of this process are still poorly understood, however. In this issue of Network, Plebe shows how computational modeling of experimental data on neuronal tuning in secondary visual cortex can help us understand how the brain increases neuronal tuning complexity across the visual cortical hierarchy.
Laboratory for Computational Cognitive Neuroscience, Department of Neuroscience, Georgetown University Medical Center, Washington, DC 20007, USA. mr287@georgetown.edu
Maximilian
M
Riesenhuber
D000818:Animals; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology; D014793:Visual Cortex / Q000166:cytology / Q000502:physiology*; D014795:Visual Pathways / Q000502:physiology*