Ponencia
Hybrid-control of synapse circuits for programmable cellular neural networks
Autor/es | Espejo Meana, Servando Carlos
Domínguez Castro, Rafael Carmona Galán, Ricardo Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1996 |
Fecha de depósito | 2020-02-25 |
Publicado en |
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ISBN/ISSN | 0-7803-3073-0 0271-4310 |
Resumen | This paper describes a hybrid weight-control strategy for VLSI realizations of programmable Cellular Neural Networks (CNNs), based on auto-tuning of analog control signals to digitally specified values. The approach merges ... This paper describes a hybrid weight-control strategy for VLSI realizations of programmable Cellular Neural Networks (CNNs), based on auto-tuning of analog control signals to digitally specified values. The approach merges the advantages of digital and analog programmability, achieving low areas and reduced number of control lines, simplifying the control and storage of weight values, and eliminating their dependency on global process-parameter variations. |
Cita | Espejo Meana, S.C., Domínguez Castro, R., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (1996). Hybrid-control of synapse circuits for programmable cellular neural networks. En IEEE International Symposium on Circuits and Systems (ISCAS) (507-510), Atlanta, USA: Institute of Electrical and Electronics Engineers. |
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