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Visual attention information can be traced on cortical response but not on the retina: evidence from electrophysiological mouse data using natural images as stimuli

arXiv 2308.00526 ↗First posted 1 Aug 2023q-bio.NC cs.CV eess.IVcited by 0

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Abstract (arXiv)

Visual attention forms the basis of understanding the visual world. In this work we follow a computational approach to investigate the biological basis of visual attention. We analyze retinal and cortical electrophysiological data from mouse. Visual Stimuli are Natural Images depicting real world scenes. Our results show that in primary visual cortex (V1), a subset of around 10% of the neurons responds differently to salient versus non-salient visual regions. Visual attention information was not traced in retinal response. It appears that the retina remains naive concerning visual attention; cortical response gets modulated to interpret visual attention information. Experimental animal studies may be designed to further explore the biological basis of visual attention we traced in this study. In applied and translational science, our study contributes to the design of improved visual prostheses systems -- systems that create artificial visual percepts to visually impaired individuals by electronic implants placed on either the retina or the cortex.

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References · 6

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015Visual Saliency Based on Multiscale Deep Featurescited by 185
  3. 2016Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Modelcited by 91
  4. 2017Deep Learning Models of the Retinal Response to Natural Scenescited by 36
  5. 2018Saliency Prediction in the Deep Learning Era: Successes, Limitations, and Future Challengescited by 7
  6. 2022Machine Learning Method for Functional Assessment of Retinal Modelscited by 1

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