[visionlist] Call for Papers: Special Issue Vision Research Deep Neural Networks and Biological Vision

Leek, Charles Charles.Leek at liverpool.ac.uk
Tue Jul 30 12:12:58 -04 2019


Recent years have seen a huge increase in the application of deep learning techniques and 'biologically inspired' deep neural networks (DNNs) to a broad range of issues in biological vision. Indeed, DNNs have been described by some as a new framework for vision research, allowing an opportunity to 'reverse engineer' the biological system. These claims are, in part, based on work showing human-level performance by DNNs in tasks such as image classification and are supported by advances in the development of methods for comparing representational structures computed by DNNs with biological vision systems. But the suitability of such networks as a theoretical framework for understanding biological vision is unclear. There remain many important questions: How should theoretically relevant and irrelevant properties of DNN architectures and processing parameters be distinguished? How can network performance be rigorously compared with corresponding biological data? What is the range of relevant performance data for evaluating network outputs? And to what extent can network activity be used to formulate empirically testable models of biological vision? This special issue invites novel contributions on these and related topics. We welcome original articles that consider the application of DNNs to understanding any aspect of biological vision. We particularly welcome contributions that provide a critical evaluation of DNNs as models of human vision.

Deadline for Submissions: November 1st, 2019.

Charles Leek PhD CPsychol AFBPsS FHEA
Head of Institute of Life and Human Sciences
Professor of Cognitive Neuroscience
School of Psychology
University of Liverpool
R220 Eleanor Rathbone Building, Bedford Street South, Liverpool, L69 7ZA
R324b, 3rd Floor, Life Sciences Building, Crown Street, L69 7ZB
Tel: 0151 795 7650 | Email: c<mailto:c>harles.leek at liverpool.ac.uk
Web: www.liverpool.ac.uk/psychology/staff/charles-leek // https://sites.google.com/view/leeklab/home

[cid:C63A83E2-8C0B-4424-A356-AA41618367DE at home]

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20190730/04440952/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.png
Type: image/png
Size: 7220 bytes
Desc: image001.png
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20190730/04440952/attachment.png>

More information about the visionlist mailing list