Publication
A model that is consistent with several neurophysiological properties of biological head-direction cells is presented. The dynamics of the system is primarily controlled by idiothetic signals which determine the direction selectivity property. By means of LTP correlation learning, allothetic cues are incorporated to stabilize the direction representation over time. The interaction between allothetic and idiothetic signals to control head-direction cells is studied. Experimental results obtained by validating the model on a mobile Khepera robot are given. The neural system enables the robot to track its allocentric heading effectively.
Henry Markram, Felix Schürmann, Eilif Benjamin Muller, Srikanth Ramaswamy, Michael Reimann, Werner Alfons Hilda Van Geit, James Gonzalo King, Marwan Muhammad Ahmed Abdellah, Lida Kanari, Pramod Shivaji Kumbhar, Alexis Arnaudon, Ying Shi, Jean-Denis Georges Emile Courcol, Armando Romani, András Ecker, Michael Emiel Gevaert, Michele Migliore, Cyrille Pierre Henri Favreau, Vishal Sood, Cristina Colangelo, Mohameth François Sy, Judit Planas Carbonell, Szabolcs Kali, Genrich Ivaska, Carmen Alina Lupascu, Elvis Boci, Alberto Antonietti, Fabien Petitjean, Julian Martin Budd, Elisabetta Giacalone, Davide Bella, Mustafa Kerem Kurban, Pranav Rai, Juan Bautista Hernando Vieites, Huanxiang Lu, Liesbeth Maria L Vanherpe, Joni Henrikki Herttuainen, Rosanna Migliore, Anna-Kristin Kaufmann, Juan Luis Riquelme Roman, Sàra Sàray, Audrey Mercer, Thomas Brice Delemontex, Nadir Roman Guerrero
Felix Schürmann, Armando Romani, Michele Migliore, Luca Leonardo Bologna
Olaf Blanke, Lukas Heydrich, Eva Blondiaux