A. Treisman and G. Gelade, A feature-integration theory of attention, Cognitive Psychology, vol.12, issue.1, pp.97-136, 1980.
DOI : 10.1016/0010-0285(80)90005-5

L. Itti, C. Koch, and E. Niebur, A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.20, issue.11, 1998.
DOI : 10.1109/34.730558

L. Itti, Visual Attention In : The Handbook of Brain Theory and Neural Networks, pp.1196-1201, 2003.

M. Riesenhuber and T. Poggio, Hierarchical models of object recognition in cortex, Nature Neuroscience, vol.2, issue.11, pp.1019-1025, 1999.

M. Riesenhuber and T. Poggio, Models of object recognition, Nature Review, 2000.

T. Serre, L. Wolf, and T. Poggio, Object recognition with features inspired by visual cortex, CVPR, 2005.
DOI : 10.1109/cvpr.2005.254

URL : http://cbcl.mit.edu/projects/cbcl/publications/ps/serre-PID73457-05.pdf

K. Fukushima, S. Miyake, and T. Ito, Neocognitron: A neural network model for a mechanism of visual pattern recognition, IEEE Transactions on Systems, Man, and Cybernetics, vol.13, issue.5, pp.826-834, 1983.
DOI : 10.1109/TSMC.1983.6313076

S. Wysoski, L. Benuskova, and N. Kasabov, Fast and adaptive network of spiking neurons for multi-view visual pattern recognition, Neurocomputing, vol.71, issue.13-15, pp.2563-2575, 2008.
DOI : 10.1016/j.neucom.2007.12.038

W. Zhang, H. Deng, G. Diettrich, and N. Mortensen, A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions, 18th International Conference on Pattern Recognition (ICPR'06), 2006.
DOI : 10.1109/ICPR.2006.1195

L. Elazary and I. Itti, A Bayesian model for efficient visual search and recognition, Vision Research, vol.50, issue.14, pp.1338-1352, 2010.
DOI : 10.1016/j.visres.2010.01.002

URL : http://doi.org/10.1016/j.visres.2010.01.002

A. Borji and L. Itti, Scene classification with a sparse set of salient regions, 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5979815

J. Harel, C. Koch, and P. Perona, Graph-Based Visual Saliency, 2007.

J. Mutch and D. Lowe, Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields, International Journal of Computer Vision, vol.5, issue.7, pp.45-57, 2008.
DOI : 10.1093/acprof:oso/9780198524885.001.0001

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.159.7625

L. Ungerleider and M. Mishkin, Two cortical visual systems, 1982.

D. Hubel and T. Wiesel, Receptive fields and functional architecture of monkey striate cortex, The Journal of Physiology, vol.195, issue.1, 1967.
DOI : 10.1113/jphysiol.1968.sp008455

URL : https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1557912/pdf

A. Tsitiridis, P. Yuen, K. Hong, T. Chen, I. Ibrahim et al., An improved cortex-like neuromorphic system for target recognitions, Optics and Photonics for Counterterrorism and Crime Fighting VI and Optical Materials in Defence Systems Technology VII, 2010.
DOI : 10.1117/12.864477

J. Zhang, T. Tan, and L. Ma, Invariant Texture Segmentation Via Circular Gabor Filters, 16th International Conference on Pattern Recognition (ICPR'02), 2002.

L. Fei-fei, R. Fergus, and P. Perona, Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories, CVPR Workshop on Generative-Model Based Vision, 2004.
DOI : 10.1016/j.cviu.2005.09.012

T. Serre, L. Wolf, S. Bilecshi, M. Riesenhuber, and T. Poggio, Robust Object Recognition with Cortex-Like Mechanisms, IEEE transactions on pattern analysis and machine intelligence, pp.411-425, 2007.
DOI : 10.1109/TPAMI.2007.56

URL : http://cbcl.mit.edu/projects/cbcl/publications/ps/serre-wolf-poggio-PAMI-07.pdf