Paper: | PS-1A.49 | ||
Session: | Poster Session 1A | ||
Location: | H Lichthof | ||
Session Time: | Saturday, September 14, 16:30 - 19:30 | ||
Presentation Time: | Saturday, September 14, 16:30 - 19:30 | ||
Presentation: | Poster | ||
Publication: | 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany | ||
Paper Title: | Modulation of early visual processing alleviates capacity limits in solving multiple tasks | ||
Manuscript: | Click here to view manuscript | ||
License: | This work is licensed under a Creative Commons Attribution 3.0 Unported License. |
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DOI: | https://doi.org/10.32470/CCN.2019.1229-0 | ||
Authors: | Sushrut Thorat, Giacomo Aldegheri, Marcel A.J. van Gerven, Marius V. Peelen, Radboud University, Netherlands | ||
Abstract: | In daily life situations, we have to perform multiple tasks given a visual stimulus, which requires task-relevant information to be transmitted through our visual system. When it is not possible to transmit all the possibly relevant information to higher layers, due to a bottleneck, task-based modulation of early visual processing might be necessary. In this work, we report how the effectiveness of modulating the early processing stage of an artificial neural network depends on the information bottleneck faced by the network. The bottleneck is quantified by the number of tasks the network has to perform and the neural capacity of the later stage of the network. The effectiveness is gauged by the performance on multiple object detection tasks, where the network is trained with a recent multi-task optimization scheme. By associating neural modulations with task-based \textit{switching} of the state of the network and characterizing when such switching is helpful in early processing, our results provide a functional perspective towards understanding why task-based modulation of early neural processes might be observed in the primate visual cortex. |