Diseño digital para sistemas bio-inspirados neuromórficos de proceso de visión
- Autores: Amirreza Yousefzadeh
- Directores de la Tesis: Bernabe Linares Barranco (dir. tes.), T. Masquelier (dir. tes.), María Teresa Serrano Gotarredona (dir. tes.)
- Lectura: En la Universidad de Sevilla ( España ) en 2018
- Idioma: español
- Número de páginas: 182
- Títulos paralelos:
- Digital desing for neuroporphic bio-inspired vision processing.
- Tribunal Calificador de la Tesis: Iluminada Baturone Castillo (presid.), Carlos Jesús Jiménez Fernández (secret.), Josep Lluis Rosselló Sanz (voc.), Philip Häfliger (voc.), Simon J. Thorpe (voc.)
- Programa de doctorado: Programa de Doctorado en Ciencias y Tecnologías Físicas por la Universidad de Sevilla
- Materias:
- Enlaces
- Tesis en acceso abierto en: Idus
- Resumen
Artificial Intelligence (AI) is an exciting technology that flourished in this century. One of the goals for this technology is to give learning ability to computers. Currently, machine intelligence surpasses human intelligence in specific domains. Besides some conventional machine learning algorithms, Artificial Neural Networks (ANNs) is arguably the most exciting technology that is used to bring this intelligence to the computer world. Due to ANN’s advanced performance, increasing number of applications that need kind of intelligence are using ANN. Neuromorphic engineers are trying to introduce bio-inspired hardware for efficient implementation of neural networks. This hardware should be able to simulate a vast number of neurons in real-time with complex synaptic connectivity while consuming little power. The work that has been done in this thesis is hardware oriented, so it is necessary for the reader to have a good understanding of the hardware that is used for developments in this thesis. In this chapter, we provide a brief overview of the hardware platforms that are used in this thesis. Afterward, we explain briefly the contributions of this thesis to the bio-inspired processing research line.
