Posts about facets

Deliverable M9-3: Workshop for definition of a detailed version of the V1 hypercolumn model

The INCM was holding a workshop on the V1 hypercolumn model on the 22nd and 23rd of October 2007. The purpose of the workshop was to promote the coordination of modeling efforts within the consortium and in particular to organize collaboration in WP9T2 and associated work-packages. It is labeled as deliverable M9-3: "Workshop for definition of a detailed version of the V1 hyper-column model" for WP9-2 (workpackage 9 task 2), but is also linked by its subject to WP5. In contrast to the previous meeting, we started with brief presentations of the results from each group to expose the different efficient aspects of each model. This allowed us in the second half of the workshop to converge to some main issues and prioritize the neural features that are the most important for the efficiency of V1. As for the format, we proposed that PhD students and post-docs should have the opportunity to present this work to give them experience and reduce the burden on busy chiefs. We felt it was important to involve as many in this workshop as possible as we approach a crucial stage in integrating the different models.

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Post-doctoral Position in Computational Neuroscience: "Functional, Large-scale Models of Visual Motion Perception"

Warning

The position has been filled

We are currently inviting applications for a postdoctoral position in computational neuroscience to study functional, large-scale models of visual motion perception. The post is for up to 3 years in the DyVA team at the INCM (CNRS) in Marseille, France and will be funded within the european FACETS consortium.

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V1 hypercolumn Coordination Meeting, 20th - 21st Nov 2006

Subject: Coordination meeting of the WP9T2 and WP5T3 tasks.

  • The goal of the meeting was to prepare the next deliverable D25 ("model of an hyper-column") but also to join our efforts in modeling. In particular, important decisions were made toward finding canonical parameters (structure, neural parameters) of all systems being delivered in WP5T3 and WP9T2 but also concerning the definition of the common benchmark that will de deployed to the different implementations in the different partners. From this benchmark (benchmark zero), we should be able to validate different solutions to pinpoint their strengths and weaknesses.

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