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Encyclopedia of Computational Neuroscience pp 1–14Cite as

Hierarchical Models of the Visual System

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Synonyms

Deep learning architectures; Hubel and Wiesel model; Large-scale models of the visual system; Simple-to-complex hierarchies; Ventral stream

Definition

Hierarchical models of the visual system are neural networks with a layered topology. The receptive fields of units (i.e., the region of visual space to which units respond) at one level of the hierarchy are constructed by combining inputs from units at a lower level. After a few processing stages, small receptive fields tuned to simple stimuli get combined to form larger receptive fields tuned to more complex stimuli. Such an anatomical and functional hierarchical architecture is a hallmark of the organization of the visual system. In feedforward networks, information flows in a bottom-up fashion – from lower to higher processing stages. In feedback networks, information is able to dynamically reenter processing stages via recurrent connections. Feedback connections can be broadly divided between horizontal or lateral...

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  1. Department of Cognitive, Linguistic, and Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI, USA

    Matthew Ricci & Thomas Serre

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  2. Department of Biomedical Engineering, Florida International University, Miami, FL, USA

    Ranu Jung

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  1. Institute for Brain Sciences, Brown University, Providence, RI, USA

    Thomas Serre

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Ricci, M., Serre, T. (2020). Hierarchical Models of the Visual System. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_345-2

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  1. Latest

    Hierarchical Models of the Visual System
    Published:
    12 March 2020

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_345-2

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    Hierarchical Models of the Visual System
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    26 March 2014

    DOI: https://doi.org/10.1007/978-1-4614-7320-6_345-1

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