- idUS
- Listar por autor
Listar por autor "Soto, Miguel"
Mostrando ítems 1-5 de 5
-
Artículo
An event-based classifier for Dynamic Vision Sensor and synthetic data
Stromatias, Evangelos; Soto, Miguel; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2017)This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) ...
-
Artículo
An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data
Stromatias, Evangelos; Soto, Miguel; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2017)This paper introduces a novel methodology for training an event-driven classifier within a Spiking Neural Network (SNN) ...
-
Artículo
On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
Yousefzadeh, Amirreza; Stromatias, Evangelos; Soto, Miguel; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media, 2018)In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating ...
-
Ponencia
Performance Comparison of Time-Step-Driven versus Event-Driven Neural State Update Approaches in SpiNNaker
Yousefzadeh, Amirreza; Soto, Miguel; Serrano Gotarredona, María Teresa; Galluppi, Francesco; Plana, Luis A.; Furber, Steve B.; Linares Barranco, Bernabé (IEEE. Institute of Electrical and Electronics Engineers, 2018)The SpiNNaker chip is a multi-core processor optimized for neuromorphic applications. Many SpiNNaker chips are assembled ...
-
Ponencia
Scene Context Classification with Event-Driven Spiking Deep Neural Networks
Negri, Pablo; Soto, Miguel; Linares Barranco, Bernabé; Serrano Gotarredona, María Teresa (IEEE Computer Society, 2018)Event-Driven computation is attracting growing attention among researchers for several reasons. On one hand, the ...