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Extended difference-of-Gaussians model incorporating cortical feedback for relay cells in the lateral geniculate nucleus of cat.
Einevoll, Gaute T; Plesser, Hans E.
Affiliation
  • Einevoll GT; Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, PO Box 5003, 1432 Aas, Norway ; Center for Integrative Genetics, Norwegian University of Life Sciences, PO Box 5003, 1432 Aas, Norway.
  • Plesser HE; Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, PO Box 5003, 1432 Aas, Norway.
Cogn Neurodyn ; 6(4): 307-24, 2012 Aug.
Article in En | MEDLINE | ID: mdl-24995047
ABSTRACT
A striking feature of the organization of the early visual pathway is the significant feedback from primary visual cortex to cells in the dorsal lateral geniculate nucleus (LGN). Despite numerous experimental and modeling studies, the functional role for this feedback remains elusive. We present a new firing-rate-based model for LGN relay cells in cat, explicitly accounting for thalamocortical loop effects. The established DOG model, here assumed to account for the spatial aspects of the feedforward processing of visual stimuli, is extended to incorporate the influence of thalamocortical loops including a full set of orientation-selective cortical cell populations. Assuming a phase-reversed push-pull arrangement of ON and OFF cortical feedback as seen experimentally, this extended DOG (eDOG) model exhibits linear firing properties despite non-linear firing characteristics of the corticothalamic cells. The spatiotemporal receptive field of the eDOG model has a simple algebraic structure in Fourier space, while the real-space receptive field, as well as responses to visual stimuli, are found by evaluation of an integral. As an example application we use the eDOG model to study effects of cortical feedback on responses to flashing circular spots and patch-grating stimuli and find that the eDOG model can qualitatively account for experimental findings.
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Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Year: 2012 Type: Article

Full text: 1 Database: MEDLINE Type of study: Prognostic_studies Language: En Year: 2012 Type: Article