Now showing items 1-12 of 12

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      A 32, x, 32 pixel convolution processor chip for address event vision sensors with 155 ns event latency and 20 meps throughput  [Article]

      Camuñas Mesa, Luis Alejandro; Acosta Jiménez, Antonio José; Zamarreño Ramos, Carlos; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2010)
      This paper describes a convolution chip for event-driven vision sensing and processing systems. As opposed to conventional frame-constraint vision systems, in event-driven vision there is no need for frames. In frame-free ...
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      A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation  [Article]

      Camuñas Mesa, Luis Alejandro; Domínguez Cordero, Yaisel L.; Linares Barranco, Alejandro; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2018)
      Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, ...
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      An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors  [Article]

      Camuñas Mesa, Luis Alejandro; Zamarreño Ramos, Carlos; Linares Barranco, Alejandro; Acosta Jiménez, Antonio José; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (IEEE Computer Society, 2012)
      Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional video and computer vision ...
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      CAVIAR: A 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking  [Article]

      Serrano Gotarredona, Rafael; Oster, Matthias; Lichtsteiner, Patrick; Linares Barranco, Alejandro; Paz Vicente, Rafael; Gómez Rodríguez, Francisco de Asís; Camuñas Mesa, Luis Alejandro; Berner, Raphael; Rivas Pérez, Manuel; Jiménez Moreno, Gabriel; Civit Balcells, Antón; Serrano Gotarredona, María Teresa; Acosta Jiménez, Antonio José; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2009)
      This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses the asychronous address-event ...
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      Event-driven sensing and processing for high-speed robotic vision  [Presentation]

      Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2014)
      We present here an overview of a new vision paradigm where sensors and processors use visual information not represented by sequences of frames. Event-driven vision is inherently frame-free, ...
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      Fast vision through frameless event-based sensing and convolutional processing: Application to texture recognition  [Article]

      Pérez Carrasco, José Antonio; Acha Piñero, Begoña; Serrano Gotarredona, María del Carmen; Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2010)
      Address-event representation (AER) is an emergent hardware technology which shows a high potential for providing in the near future a solid technological substrate for emulating brain-like processing structures. When used ...
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      Live Demonstration: Event-Driven Sensing and Processing for High-Speed Robotic Vision  [Presentation]

      Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2014)
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      Microchips convolucionadores AER para procesado asíncrono neocortical de información sensorial visual codificada en eventos  [PhD Thesis]

      Camuñas Mesa, Luis Alejandro (2010-05-21)
      En este trabajo, se presentan dos versiones diferentes de microchips convolucionadores completamente digitales basados en el protocolo AER para sistemas de procesamiento visual basados en eventos. Estos chips constituyen ...
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      Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations  [Article]

      Camuñas Mesa, Luis Alejandro; Linares Barranco, Bernabé; Serrano Gotarredona, María Teresa (MDPI, 2019)
      Inspired by biology, neuromorphic systems have been trying to emulate the human brain for decades, taking advantage of its massive parallelism and sparse information coding. Recently, several large-scale hardware projects ...
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      On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex  [Article]

      Zamarreño Ramos, Carlos; Camuñas Mesa, Luis Alejandro; Pérez Carrasco, José Antonio; Masquelier, T.; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2011)
      In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of memristor nanotechnology ...
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      On the use of orientation filters for 3D reconstruction in event-driven stereo vision  [Article]

      Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Leng, Sío H.; Benosman, Ryad B.; Linares Barranco, Bernabé (Frontiers Media, 2014)
      The recently developed Dynamic Vision Sensors (DVS) sense visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these ...
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      The stochastic I-Pot: A circuit block for programming bias currents  [Article]

      Serrano Gotarredona, Rafael; Camuñas Mesa, Luis Alejandro; Serrano Gotarredona, María Teresa; Leñero Bardallo, Juan Antonio; Linares Barranco, Bernabé (Institute of Electrical and Electronics Engineers, 2007)
      In this brief, we present the “Stochastic I-Pot.” It is a circuit element that allows for digitally programming a precise bias current ranging over many decades, from pico-amperes up to hundreds of micro-amperes. I-Pot ...