Computational Models of Zebrafish Sensory Integration

Keywords: computational neuroscience, zebrafish, sensory integration, data fusion, extreme value theory
Fall 2016 - Present
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Description

We propose a computational model of vision that describes the integration of cross-modalsensory information between the olfactory and visual systems in zebrafish based on the principlesof the statistical extreme value theory. The integration of olfacto-retinal information is mediated bythe centrifugal pathway that originates from the olfactory bulb and terminates in the neural retina.Motivation for using extreme value theory stems from physiological evidence suggesting thatextremes and not the mean of the cell responses direct cellular activity in the vertebrate brain. Weargue that the visual system, as measured by retinal ganglion cell responses in spikes/sec, followsan extreme value process for sensory integration and the increase in visual sensitivity from theolfactory input can be better modeled using extreme value distributions. As zebrafish maintainshigh evolutionary proximity to mammals, our model can be extended to other vertebrates as well. This work shows promise for applications in machine learning and neuromorphic systems.

The research was funded by the Department of Defense (Army Research Laboratory) under the contract W911NF-18-1-0292.

Publications

  • "An Extreme Value Theory Model of Cross-Modal Sensory Information Integration in
    Modulation of Vertebrate Visual System Functions,"
    Sreya Banerjee, Walter J. Scheirer, Lei Li,
    Frontiers in Computational Neuroscience,
    February 2019.