[visionlist] What do deep neural networks tell us about biological vision? Call for Papers: Special Issue (Vision Research)

Leek, Charles Charles.Leek at liverpool.ac.uk
Mon Mar 11 07:48:43 -04 2019

Dear Colleagues -

Announcing a Call for Papers: Special Issue (Vision Research): "What do deep neural networks tell us about biological vision"?

Guest Editor:

Charles Leek (University of Liverpool)
Dietmar Heinke (University of Birmingham)
Ales Leonardis (University of Birmingham)


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.

Publication Schedule

Submissions Open: May 1, 2019

Submission Deadline: September 1st, 2019

Expected publication: 2020

Manuscripts are submitted through the Special Issue portal of the submission system and go through peer review as usual.

Each article in the special issue is assigned a unique identifier and once the article is accepted will be published in a regular journal issue as soon as available. The unique identifier allows us to simultaneously add the article to the special issue on ScienceDirect which is gradually built up as individual articles are published online.

We do provide Shared Link of the final published version to the corresponding authors with 50 days free access so that they can share it.

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
Tel: 0151 795 7650 | Email: c<mailto:c>harles.leek at liverpool.ac.uk
Web: www.liverpool.ac.uk/psychology/staff/charles-leek<http://www.liverpool.ac.uk/psychology/staff/charles-leek> // https://sites.google.com/view/leeklab/home

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

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