2020-04-072020-04-072003Carmona Galán, R., Jiménez Garrido, F.J., Domínguez Castro, R., Espejo Meana, S.C., Roska, T., Rekeczky, C.,...,Rodríguez Vázquez, Á.B. (2003). A Bio-Inspired Two-Layer Mixed-Signal Flexible Programmable Chip for Early Vision. IEEE Transactions on Neural Networks, 14 (5), 1313-1336.1045-92271941-0093https://hdl.handle.net/11441/94977A bio-inspired model for an analog programmable array processor (APAP), based on studies on the vertebrate retina, has permitted the realization of complex programmable spatio-temporal dynamics in VLSI. This model mimics the way in which images are processed in the visual pathway, what renders a feasible alternative for the implementation of early vision tasks in standard technologies. A prototype chip has been designed and fabricated in 0.5 μm CMOS. It renders a computing power per silicon area and power consumption that is amongst the highest reported for a single chip. The details of the bio-inspired network model, the analog building block design challenges and trade-offs and some functional tests results are presented in this paper.application/pdf24 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Cellular neural networksMachine visionNeural networks hardwareVisual systemsinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/TNN.2003.816377