Self-organising coordinate transformation with peaked and monotonic gain modulation in the primate dorsal visual pathway

Daniel M Navarro, Bedeho M W Mender, Hannah E Smithson and Simon M Stringer

PLOS ONE, 2018, vol. 13, issue 11, 1-50

Abstract: We study a self-organising neural network model of how visual representations in the primate dorsal visual pathway are transformed from an eye-centred to head-centred frame of reference. The model has previously been shown to robustly develop head-centred output neurons with a standard trace learning rule, but only under limited conditions. Specifically it fails when incorporating visual input neurons with monotonic gain modulation by eye-position. Since eye-centred neurons with monotonic gain modulation are so common in the dorsal visual pathway, it is an important challenge to show how efferent synaptic connections from these neurons may self-organise to produce head-centred responses in a subpopulation of postsynaptic neurons. We show for the first time how a variety of modified, yet still biologically plausible, versions of the standard trace learning rule enable the model to perform a coordinate transformation from eye-centred to head-centred reference frames when the visual input neurons have monotonic gain modulation by eye-position.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0207961

DOI: 10.1371/journal.pone.0207961

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