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AuthorLinares Barranco, Alejandro (24)Jiménez Fernández, Ángel Francisco (14)Jiménez Moreno, Gabriel (14)Ríos Navarro, José Antonio (11)Tapiador Morales, Ricardo (10)Domínguez Morales, Juan Pedro (7)Domínguez Morales, Manuel Jesús (7)Gutiérrez Galán, Daniel (7)Gómez Rodríguez, Francisco de Asís (5)Cerezuela Escudero, Elena (4)... View MoreSubject
FPGA (30)
Neuromorphic engineering (9)AER (8)Neuro-inspired (5)Address-event-representation (4)Convolutional Neural Networks (CNN) (4)Deep learning (4)VHDL (4)Computer vision (3)Event-based processing (3)... View MoreDate Issued2010 - 2020 (27)2004 - 2009 (3)Funding agencyMinisterio de Ciencia e Innovación (MICIN). España (2)Comisión Interministerial de Ciencia y Tecnología (CICYT). España (1)European Commission (EC) (1)European Union (UE). FP7 (1)Ministerio de Ciencia Y Tecnología (MCYT). España (1)Ministerio de Economía y Competitividad (MINECO). España (1)Has file(s)Yes (30)

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Neuromorphic Real-Time Objects Tracking Using Address Event Representation and Silicon Retina [Presentation]

Gómez Rodríguez, Francisco de Asís; Miró Amarante, María Lourdes; Rivas Pérez, Manuel; Jiménez Moreno, Gabriel; Díaz del Río, Fernando (Springer, 2011)
This paper presents a hierarchical neuromorphic system for tracking objects. We use AER (Address Event Representation) for transmitting and processing visual information provided by an asynchronous temporal contrast silicon ...
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Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics [Article]

Linares Barranco, Alejandro; Liu, Hongjie; Ríos Navarro, José Antonio; Gómez Rodríguez, Francisco de Asís; Moeys, Diederick P.; Delbruck, Tobi (MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation is the aim of the field of neuromorphic engineering. This field has demonstrated success in ...
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Inter-spike-intervals analysis of AER Poisson-like generator hardware [Article]

Linares Barranco, Alejandro; Oster, Matthias; Cascado Caballero, Daniel; Jiménez Moreno, Gabriel; Civit Balcells, Antón; Linares Barranco, Bernabé (Elsevier, 2007)
Address–Event–Representation (AER) is a communication protocol for transferring images between chips, originally developed for bio-inspired image-processing systems. Such systems may consist of a complicated hierarchical ...
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A PCI AER Co-Processor Evaluation Based on CPUs Performance Counters [Article]

Domínguez Morales, Manuel Jesús; Linares Barranco, Alejandro; Íñigo Blasco, Pablo; Font Calvo, Juan Luis; Cascado Caballero, Daniel; Jiménez Moreno, Gabriel; Díaz del Río, Fernando; Sevillano Ramos, José Luis (JIT Editorial Office, Library and Information Center, National Dong Hwa University, 2012)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
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An AER to CAN Bridge for Spike-Based Robot Control [Presentation]

Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Paz Vicente, Rafael; Linares Barranco, Alejandro; Cascado Caballero, Daniel; Coronado, J.L.; Muñoz, J.L.; Jiménez Moreno, Gabriel (Springer, 2011)
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of AER sensors (retina and cochleas), processors (convolvers, WTA, mappers, …) and actuators can be found in the literature ...
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An AER Spike-Processing Filter Simulator and Automatic VHDL Generator Based on Cellular Automata [Presentation]

Rivas Pérez, Manuel; Linares Barranco, Alejandro; Gómez Rodríguez, Francisco de Asís; Morgado Estévez, Arturo; Civit Balcells, Antón; Jiménez Moreno, Gabriel (Springer, 2011)
Spike-based systems are neuro-inspired circuits implementations traditionally used for sensory systems or sensor signal processing. Address-Event- Representation (AER) is a neuromorphic communication protocol for ...
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An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation [Presentation]

Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Paz Vicente, Rafael; López-Torres, Manuel Ramón.; Cerezuela Escudero, Elena; Linares Barranco, Alejandro; Jiménez Moreno, Gabriel; Morgado Estévez, Arturo (Springer, 2011)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...
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Efficient DMA transfers management on embedded Linux PSoC for Deep-Learning gestures recognition: Using Dynamic Vision Sensor and NullHop one-layer CNN accelerator to play RoShamBo [Presentation]

Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Jiménez Moreno, Gabriel; Linares Barranco, Alejandro (ACM Digital Library, 2019)
This demonstration shows a Dynamic Vision Sensor able to capture visual motion at a speed equivalent to a highspeed camera (20k fps). The collected visual information is presented as normalized histogram to a CNN ...
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Event-based Row-by-Row Multi-convolution engine for Dynamic-Vision Feature Extraction on FPGA [Presentation]

Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro; Gutiérrez Galán, Daniel; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2018)
Neural networks algorithms are commonly used to recognize patterns from different data sources such as audio or vision. In image recognition, Convolutional Neural Networks are one of the most effective techniques due ...
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Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform [Article]

Cerezuela Escudero, Elena; Pérez-Peña, Fernando; Paz Vicente, Rafael; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Morgado Estévez, Arturo (Elsevier, 2018)
This paper proposes a real-time sound source localization and tracking architecture based on the abilityof the mammalian auditory system using the interaural intensity difference. We used an innovative bin- aural Neuromorphic ...
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