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bioRxiv · 10.1101/327288

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

Navarro, D. M.·Mender, B. M. W.·Smithson, H. E.·Stringer, S. M.
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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 [1], 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.

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Navarro, D. M., Mender, B. M. W., Smithson, H. E., Stringer, S. M.. 2018-05-21. Self-organising coordinate transformation with peaked and monotonic gain modulation in the primate dorsal visual pathway. https://doi.org/10.1101/327288

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