Connectionists: Special Issue – Call for Papers: Complex Spatial Navigation in Animals, Computational Models and Neuro-inspired Robots

Fellous, Jean-Marc - (fellous) fellous at email.arizona.edu
Thu Jun 20 17:58:27 EDT 2019


Biological Cybernetics: Special Issue – Call for Papers
Latest Advances in Complex Spatial Navigation in Animals, Computational Models and Neuro-inspired Robots
Editors: Jean-Marc Fellous (University of Arizona), Peter Dominey (INSERM, Lyon, France), Alfredo Weitzenfeld (University of South Florida)
The neural basis of spatial navigation is overwhelmingly studied using simplified tasks and simplified environments. Subjects (robots, animals or humans) are typically required to only make few decisions (e.g. turn right, turn left) in static and cue poor ethologically-small-scaled environments devoid of obstacles and in which movements are heavily constrained (e.g. T-maze). While a lot has been learned experimentally and theoretically from such approaches, time has come to understand spatial navigation in more realistic conditions. The goal of this special issue is to collect contributions related to the latest advances in understanding the neural mechanisms of complex spatial navigation using experimental studies in Animals, Computational Neuroscience and Neurorobotics.
Confirmed contributors: Michael Arbib (USC), Peter Dominey (INSERM), Jean-Marc Fellous (UA), Philippe Gaussier (U. Cergy-Pontoise), Mehdi Khamassi (CNRS), Jeff Krichmar (UCI), Alfredo Weitzenfeld (USF)
Ideally responsive manuscripts should 1) explicitly outline what type of complexity is addressed, 2) preferably consider experimentally constrained data (as part of the manuscript itself, or by reference) 3) consider theoretical implications. Authors can inquire about the appropriateness of their submission by sending a short abstract and questions to Dr. Jean-Marc Fellous (fellous at email.arizona.edu<mailto:fellous at email.arizona.edu>). Submissions before July 31st, 2019 will be given full considerations.
More information about Biological Cybernetics: https://link.springer.com/journal/422


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