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Institution: Unidad de Neuroprótesis y Rehabilitación Visual, UMH, Spain.
Website: http://nbio.umh.es/about/unidad-de-neuroprotesis-y-rehabilitacion-visual/


A. García, A. Vilares Silva, M. Bongard, C. Pérez, J. M. Sabater, A. Salinas, M. Marchena, P. de la Villa, E. Fernández, "Método de medida de la función visual en ratones con retinosis pigmentaria", Simposion Cea de Bioingeniería, 2010, Spain. 

Final Product


Institution: Adaptive System Behaviour Group, Electronics Department, UM, Portugal 
Website: http://asbg.dei.uminho.pt/


                 Poster Sessions

Title:"The LGMD Model Mean Response as a means to a robot system for Collision Avoidance and Target Following" 

Poster number 388

Presented at the 9th International Conference of Neuroethology, Salamanca, Spain, 2-7 August, 2010.

Title: "Robot Vision based on the Locust Visual System"

Presented at the International Workshop on Bio-Inspired Robots, from April 6 to 8, 2011.


Dídimo, A, Silva, A and Santos, C P "Collision avoidance using the LGMD mean response", Controlo 2010, Coimbra, September 2010, Portugal.

Silva, AC, Santos CP.  2012.  A bio-inspired model reliably predicts the collision of approaching objects under different light conditions. 12th International Conference on Adaptive Behaviour, Odense, Denmark. 

Silva, AC, Silva JB, Santos CP.  2012.  LGMD Based Neural Network For Automatic Collision Detection. 9th International Conference on Informatics in Control, Automation and Robotics, Rome, Italy.

Silva, AC, Santos CP.  2013.  Computational model of the LGMD neuron for automatic collision detection. 3rd Portuguese BioEngineering Meeting, Braga, Portugal.

Silva, A, Santos, Cristina P. 2013. Modeling disinhibition within a layered structure of the LGMD neuron," Neural Networks (IJCNN), The 2013 International Joint Conference on , vol., no., pp.1,7, 4-9 Aug. 2013.

Silva, AC, Silva JB, Santos CP.  2014. A Modified LGMD Based Neural Network for Automatic Collision Detection. Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, Volume 283, 2014, pp 217-233.

Silva, AC, McMillan, GA, Santos, CP and Gray, JR. 2014. Background complexity affects the response of a looming-sensitive neuron to object motion. Journal of Neurophysiology. DOI: 10.1152/jn.00478.2014.

Silva, AC, Santos CP.  2014. A Time-analysis of the Spatial Power Spectra Indicates the Proximity and Complexity of the Surrounding Environment.  11th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2014), Viena, Austria. (http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005061401480155)