Exploració per autor "Sánchez Rivera, Giovanny"
Ara es mostren els items 3-7 de 7
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Efficient multiprocessing architectures for spiking neural network emulation based on configurable devices
Sánchez Rivera, Giovanny (Universitat Politècnica de Catalunya, 2014-06-12)
Tesi
Accés obertThe exploration of the dynamics of bioinspired neural networks has allowed neuroscientists to understand some clues and structures of the brain. Electronic neural network implementations are useful tools for this exploration. ... -
LEGION-based image segmentation by means of spiking neural networks using normalized synaptic weights implemented on a compact scalable neuromorphic architecture
Sánchez Rivera, Giovanny; Madrenas Boadas, Jordi; Cosp Vilella, Jordi (2019-01-01)
Article
Accés obertLEGION (Locally Excitatory, Globally Inhibitory Oscillator Network) topology has demonstrated good capabilities in scene segmentation applications. However, the implementation of LEGION algorithm requires machines with ... -
Performance evaluation and scaling of a multiprocessor architecture emulating complex SNN algorithms
Sánchez Rivera, Giovanny; Madrenas Boadas, Jordi; Moreno Aróstegui, Juan Manuel (Springer Verlag, 2010-09)
Article
Accés restringit per política de l'editorialThe performance analysis of an efficient multiprocessor architecture that allows accelerating the emulation of large-scale Spiking Neural Networks (SNNs) is reported. After describing the architecture and the complex SNN ... -
SNAVA—A real-time multi-FPGA multi-model spiking neural network simulation architecture
Sripad T A, Athul; Sánchez Rivera, Giovanny; Zapata Rodríguez, Mireya; Pirrone, Vito; Dorta Pérez, Silvestre Taho; Cambria, Salvatore; Marti, Albert; Krishnamourthy, Karthikeyan; Madrenas Boadas, Jordi (2018-01-01)
Article
Accés obertSpiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel ... -
Spike-based analog-digital neuromorphic information processing system for sensor applications
Sánchez Rivera, Giovanny; Koickal, Thomas Jacob; Sripad T A, Athul; Gouveia, Luiz Carlos; Hamilton, Alister; Madrenas Boadas, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2013)
Text en actes de congrés
Accés restringit per política de l'editorialA spiking-neuron-based system that combines analog and digital multi-processor implementations for the bio-inspired processing of sensors is reported. This combination allows creating a powerful bio-inspired multiple-input ...