Exploració per autor "Sánchez Rivera, Giovanny"
Ara es mostren els items 4-7 de 7
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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 ...