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Biologically Inspired Approaches to Automated Feature Extraction and Target Recognition.

, , , , and . AIPR, page 61-66. IEEE Computer Society, (2004)

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A neural model of visually-guided navigation in a cluttered world., , and . IJCNN, page 399-400. IEEE Computer Society, (2009)Visually-guided adaptive robot (ViGuAR)., , , , , , , , , and 3 other author(s). IJCNN, page 2944-2951. IEEE, (2011)Extreme Image Transformations Facilitate Robust Latent Object Representations., , and . CoRR, (2023)A Neurally-Inspired Algorithm for Detecting Ordinal Depth from Motion Signals in Video Streams., , and . HVEI, page 160-166. Society for Imaging Science and Technology, (2017)Neural Dynamics of Motion Segmentation and Grouping. Advances in Neural Information Processing Systems 3, San Francisco, CA: Morgan Kaufmann, (1991)A neural model of visual figure-ground segregation from kinetic occlusion., and . Neural Networks, (2013)Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation., , and . Neural Networks, 8 (7-8): 1005-1028 (1995)Perception of lightness of glossy surfaces., , and . Human Vision and Electronic Imaging, volume 4299 of SPIE Proceedings, page 302-311. SPIE, (2001)Visually-guided adaptive robot (ViGuAR)., , , , , , , , , and 3 other author(s). IJCNN, page 2944-2951. IEEE, (2011)Review and unification of learning framework in Cog Ex Machina platform for memristive neuromorphic hardware., , , , , , , , , and 2 other author(s). IJCNN, page 2601-2608. IEEE, (2011)