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Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role

Author(s)
Ghodrati, Masoud; Lehky, Sidney R.; Khaligh Razavi, Seyed Mahdi
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Abstract
The lateral geniculate nucleus (LGN) has often been treated in the past as a linear filter that adds little to retinal processing of visual inputs. Here we review anatomical, neurophysiological, brain imaging, and modeling studies that have in recent years built up a much more complex view of LGN . These include effects related to nonlinear dendritic processing, cortical feedback, synchrony and oscillations across LGN populations, as well as involvement of LGN in higher level cognitive processing. Although recent studies have provided valuable insights into early visual processing including the role of LGN, a unified model of LGN responses to real-world objects has not yet been developed. In the light of recent data, we suggest that the role of LGN deserves more careful consideration in developing models of high-level visual processing.
Date issued
2017-09
URI
http://hdl.handle.net/1721.1/120922
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
Progress in Neurobiology
Publisher
Elsevier
Citation
Ghodrati, Masoud, Seyed-Mahdi Khaligh-Razavi, and Sidney R. Lehky. “Towards Building a More Complex View of the Lateral Geniculate Nucleus: Recent Advances in Understanding Its Role.” Progress in Neurobiology 156 (September 2017): 214–255.
Version: Author's final manuscript
ISSN
03010082

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