Connectionists: Call for papers: Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?

[Jeffrey Krichmar]

Dear Connectionists,

Please consider submitting your work to this special issue of Biological Cybernetics.

Call for papers: 
Biological Cybernetics Special Issue: What can Computer Vision learn from Visual Neuroscience?

Submission deadline: September 30, 2022
https://www.springer.com/journal/422/updates/20421374

This special issue invites original research and review articles related to topics in biological vision that can potentially benefit computer vision systems.

The following is a non exhaustive list of topics in biological vision that can also benefit computer vision systems.

	• Active vision’s role  in visual search, scene understanding, social interactions, etc.
	• Learning in the visual system. Learning in biology is continual, few-shot, and adversarially robust.
	• The roles of recurrent and top-down connections in the visual cortex.
	• Spike based spatiotemporal processing and its implications for neuromorphic vision.
	• Motion perception in dynamic environments.
	• Neural coding schemes in the visual system (e.g., sparse coding, predictive coding, and temporal coding.)

	• The roles of attention mechanisms in biological vision.


How to submit:

Please submit your manuscript using the journal online submission system following the Biological Cybernetics submission guidelines.

Guest Editors:

Kexin Chen - Department of Cognitive Sciences, University of California, Irvine
Hirak J. Kashyap - Department of Computer Science, University of California, Irvine
Jeffrey L. Krichmar - Department of Cognitive Sciences, Department of Computer Science, University of California, Irvine
Xiumin Li - College of Automation, Chongqing University, Chongqing, China

If you have any questions, please reach out to one of the guest editors.

Best regards,

Jeff Krichmar
Department of Cognitive Sciences
2328 Social & Behavioral Sciences Gateway
University of California, Irvine
Irvine, CA 92697-5100
jkrichma at uci.edu
http://www.socsci.uci.edu/~jkrichma