Now showing items 1-20 of 34

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      A 20Mevps/32Mev event-based USB framework for neuromorphic systems debugging  [Presentation]

      Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Gutiérrez Galán, Daniel; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2016)
      Neuromorphic systems are engineering solutions that take inspiration from biological neural systems. They use spike-or event-based representation and codification of the information. This codification allows performing ...
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      A Low-power, Reachable, Wearable and Intelligent IoT Device for Animal Activity Monitoring  [Presentation]

      Durán-López, Lourdes; Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Jiménez Fernández, Ángel Francisco; Cascado Caballero, Daniel; Linares Barranco, Alejandro (ScitePress Digital Library, 2019)
      Along with the proliferation of mobile devices and wireless signal coverage, IoT devices, such as smart wristbands for monitoring its owner’s activity or sleep patterns, get great popularity. Wearable technology in ...
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      A Sensor Fusion Horse Gait Classification by a Spiking Neural Network on SpiNNaker  [Presentation]

      Ríos Navarro, José Antonio; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Springer, 2016)
      The study and monitoring of the behavior of wildlife has always been a subject of great interest. Although many systems can track animal positions using GPS systems, the behavior classification is not a common task. For ...
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      Accuracy Improvement of Neural Networks Through Self-Organizing-Maps over Training Datasets  [Presentation]

      Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Springer, 2017)
      Although it is not a novel topic, pattern recognition has become very popular and relevant in the last years. Different classification systems like neural networks, support vector machines or even complex statistical ...
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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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      Comprehensive Evaluation of OpenCL-Based CNN Implementations for FPGAs  [Presentation]

      Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-sun (Springer, 2017)
      Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which ...
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      Comprehensive Evaluation of OpenCL-based Convolutional Neural Network Accelerators in Xilinx and Altera FPGAs  [Article]

      Tapiador Morales, Ricardo; Ríos Navarro, José Antonio; Linares Barranco, Alejandro; Kim, Minkyu; Kadetotad, Deepak; Seo, Jae-Sun (Cornell University, 2016)
      Deep learning has significantly advanced the state of the art in artificial intelligence, gaining wide popularity from both industry and academia. Special interest is around Convolutional Neural Networks (CNN), which take ...
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      Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld  [Presentation]

      Linares Barranco, Alejandro; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Gutiérrez Galán, Daniel; Ríos Navarro, José Antonio (3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)
      Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, comparado con los sistemas robóticos clásicos, los cuales requieren una capacidad de computación ...
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      Dynamic Vision Sensor integration on FPGA-based CNN accelerators for high-speed visual classification  [Article]

      Linares Barranco, Alejandro; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Delbruck, Tobi (Cornell University, 2019)
      Deep-learning is a cutting edge theory that is being applied to many fields. For vision applications the Convolutional Neural Networks (CNN) are demanding significant accuracy for classification tasks. Numerous hardware ...
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      ED-Scorbot: A Robotic test-bed Framework for FPGA-based Neuromorphic systems  [Presentation]

      Gómez Rodríguez, Francisco de Asís; Jiménez Fernández, Ángel Francisco; Pérez Peña, Fernando; Miró Amarante, María Lourdes; Domínguez Morales, Manuel Jesús; Ríos Navarro, José Antonio; Cerezuela Escudero, Elena; Cascado Caballero, Daniel; Linares Barranco, Alejandro (IEEE Computer Society, 2016)
      Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and brain understanding applied to solve engineering problems is boosting new architectures, solutions and products today. The ...
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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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      Embedded neural network for real-time animal behavior classification  [Article]

      Gutiérrez Galán, Daniel; Domínguez Morales, Juan Pedro; Cerezuela Escudero, Elena; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Rivas Pérez, Manuel; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (Elsevier, 2018)
      Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain animals’ behavior information, resources like wireless sensor networks are needed. More- over, large ...
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      Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución  [PhD Thesis]

      Ríos Navarro, José Antonio (2017-07-19)
      En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep Learning, así como el uso de la fusión sensorial de forma eficiente utilizando dichos mecanismos. Para ...
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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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      Interfacing PDM sensors with PFM spiking systems: application for Neuromorphic Auditory Sensors  [Article]

      Jiménez Fernández, Ángel Francisco; Domínguez Morales, Juan Pedro; Gutiérrez Galán, Daniel; Ríos Navarro, José Antonio; Tapiador Morales, Ricardo; Linares Barranco, Alejandro (Cornell University, 2019)
      In this paper we present a sub-system to convert audio information from low-power MEMS microphones with pulse density modulation (PDM) output into rate coded spike streams. These spikes represent the input signal of a ...
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      Live demonstration — Multilayer spiking neural network for audio samples classification using SpiNNaker  [Presentation]

      Domínguez Morales, Juan Pedro; Ríos Navarro, José Antonio; Gutiérrez Galán, Daniel; Tapiador Morales, Ricardo; Jiménez Fernández, Ángel Francisco; Cerezuela Escudero, Elena; Domínguez Morales, Manuel Jesús; Linares Barranco, Alejandro (IEEE Computer Society, 2017)
      In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The network consists of different leaky integrate-and-fire neuron layers. The connections between ...
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      Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction  [Presentation]

      Tapiador Morales, Ricardo; Domínguez Morales, Juan Pedro; Gutiérrez Galán, Daniel; Ríos Navarro, José Antonio; Jiménez Fernández, Ángel Francisco; Linares Barranco, Alejandro (IEEE Computer Society, 2019)
      In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented. The ...
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      Live Demonstration: Real-time motor rotation frequency detection by spike-based visual and auditory AER sensory integration for FPGA  [Presentation]

      Ríos Navarro, José Antonio; Cerezuela Escudero, Elena; Domínguez Morales, Manuel Jesús; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Linares Barranco, Alejandro (IEEE Computer Society, 2015)
      Multisensory integration is commonly used in various robotic areas to collect much more information from an environment using different and complementary types of sensors. This demonstration presents a scenario where ...
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      Live Demonstration: Retinal ganglion cell software and FPGA implementation for object detection and tracking  [Presentation]

      Moeys, Diederick P.; Delbrück, Tobias; Ríos Navarro, José Antonio; Linares Barranco, Alejandro (IEEE Computer Society, 2016)
      This demonstration shows how object detection and tracking are possible thanks to a new implementation which takes inspiration from the visual processing of a particular type of ganglion cell in the retina.
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      Multilayer Spiking Neural Network for Audio Samples Classification Using SpiNNaker  [Presentation]

      Domínguez Morales, Juan Pedro; Jiménez Fernández, Ángel Francisco; Ríos Navarro, José Antonio; Cerezuela Escudero, Elena; Gutiérrez Galán, Daniel; Domínguez Morales, Manuel Jesús; Jiménez Moreno, Gabriel (Springer, 2016)
      Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools like Nengo or Brian, and hardware platforms like the SpiNNaker board are rapidly increasing in ...