Abstract
A ubiquitous feature of the neocortex is the reciprocity of connections between its many distinct areas: if area A projects to area B, then area B almost invariably projects to area A [5, 22]. While the role of the feedforward projections in facilitating tasks such as visual recognition is generally well-acknowledged, the precise computational role of the corresponding feedback projections has remained relatively unclear (cf. [1] p. 23).
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© 1997 Springer Science+Business Media New York
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Rao, R.P.N., Ballard, D.H. (1997). Cortico-Cortical Dynamics and Learning during Visual Recognition: A Computational Model. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_122
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DOI: https://doi.org/10.1007/978-1-4757-9800-5_122
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