Thematic series on Small-Brained Animal Neural Models
Computational Cognitive Science welcomes submissions to the new thematic series on Small-Brained Animal Neural Models.
There is a great deal be gained from studying neural systems in non-human settings. However, it is very hard to find good modeling information for these settings. To build a good model, at a minimum, we need approximate network information which specifices the important modules and their interconnections. This has been hard to find in the primary neurobiological and cognitive science literature and we feel the time is right to put together a thematic series that addresses these problems from the standpoint of the practicing computational cognitive scientist.
This thematic series aims to bring together the the specialized knowledge on what is known about the neural architectures of animals such as the honey bee, the spider, ctenophores, the squid, the bird and others and to contrast and compare how these animals ( and others) process information to perform their tasks. We also are interested in how these neural architecture choices shed light of how cognitive processes evolve and function.
Potential topics include, but are not limited to:
- Alternatives to associative cortex as seen in humans
- Alternatives to standard excitable neuron processing
- Wiring diagrams including inhibitory and excitatory information for alternative brain organizations
- Do small animal models help us determine what are the minimal principles for cognitive behavior?
- What can we learn from small animal wiring networks/models about building cognitive systems?
The thematic series is open for submissions at any time. However, submissions by 31 July 2015 are expected to be reviewed and final copy uploaded by 31 October 2015 for publication in the initial thematic issue shortly thereafter. Nonetheless, commentary and papers on this theme can be submitted at any time, and articles will be linked in to the thematic series as they are published.
Before submitting your manuscript, please ensure you have carefully read the Instructions for Authors for Computational Cognitive Science. The complete manuscript should be submitted through the Computational Cognitive Science submission system. To ensure that you submit to the correct thematic series please select the appropriate thematic series in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the thematic series on Small-Brained Animal Neural Models. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Lead guest editor:
Prof. James K. Peterson, Clemson University, Clemson, SC, USA
Prof. David M.W. Powers, Flinders University, Adelaide, Australia
Submissions will also benefit from the usual advantages of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
For editorial enquiries please contact email@example.com.
Sign up for article alerts to keep updated on articles published in Computational Cognitive Science - including articles published in this thematic series!