Connectionists: Extended Deadline Artificial Neural Networks as Models of Neural Information Processing

[Marcel van Gerven]

We are pleased to inform you that our Research Topic organized with Frontiers in Computional Neuroscience is still open, and has an extended deadline for article submission. As a reminder, our Research Topic is entitled:

"Artificial Neural Networks as Models of Neural Information Processing”

Extended Article Submission Deadline: December 1st, 2016

Submission details can be found here:
http://journal.frontiersin.org/researchtopic/4817/artificial-neural-networks-as-models-of-neural-information-processing
 <http://journal.frontiersin.org/researchtopic/4817/artificial-neural-networks-as-models-of-neural-information-processing>

 <http://journal.frontiersin.org/researchtopic/4817/artificial-neural-networks-as-models-of-neural-information-processing>Research Topic Description: 

Artificial neural networks (ANNs) are computational models that are loosely inspired by their biological counterparts. In recent years, major breakthroughs in ANN research have transformed the machine learning landscape from an engineering perspective. At the same time, scientists have started to revisit ANNs as models of neural information processing in biological agents. From an empirical point of view, neuroscientists have shown that ANNs provide state-of-the-art predictions of neural responses to naturalistic stimuli. From a theoretical point of view, computational neuroscientists have started to address the foundations of learning and inference in next-generation ANNs, identifying the desiderata that models of neural information processing should fulfill.

The goal of this Research Topic is to bring together key experimental and theoretical ANN research with the aim of providing new insights on information processing in biological neural networks through the use of artificial neural networks. We welcome contributions that are of direct relevance to neuroscientists that use ANNs as a model of neural information processing. This topic is timely given the recent exciting developments in the field and will be highly attractive to a wide community of brain researchers, as well as for the community at large.

Topic Editors: Marcel van Gerven & Sander Bohte

About Frontiers Research Topics:

Frontiers Research Topics are designed to be an organized, encyclopedic coverage of a particular research area, and a forum for discussion and debate. Contributions can be of different article types (Original Research, Methods, Hypothesis & Theory, and others).

Our Research Topic has a dedicated homepage on the Frontiers website, where contributing articles are accumulated and discussions can be easily held. Once all articles are published, the topic will be compiled into an e-book, which can be sent to foundations that fund your research, to journalists and press agencies, and to any number of other organizations. As the ultimate reference source from leading scientists, Frontiers Research Topic articles become highly cited.

Frontiers is a Swiss-based, open access publisher. As such an article accepted for publication incurs a publishing fee, which varies depending on the article type. The publishing fee for accepted articles is below average compared to most other open access journals - and lower than subscription-based journals that apply page and color figure charges. Moreover, for Research Topic articles, the publishing fee is discounted quite steeply thanks to the support of the Frontiers Research Foundation.

Details on Frontiers’ fees can be found at http://www.frontiersin.org/about/PublishingFees.

When published, your article will be freely available to visitors to the Frontiers site, and will be indexed in PubMed and other academic archives. As an author in Frontiers, you will retain the copyright to your own paper and all figures.
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