Artículo
Macromodelling for analog design and robustness boosting in bio-inspired computing models
Autor/es | Cuadri Carvajo, Jorge
Liñán Cembrano, Gustavo Roca Moreno, Elisenda Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2005 |
Fecha de depósito | 2018-09-12 |
Publicado en |
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Resumen | Setting specifications for the electronic implementation of biological neural-network-like vision systems on-chip is not straightforward, neither it is to simulate the resulting circuit. The structure of these systems leads ... Setting specifications for the electronic implementation of biological neural-network-like vision systems on-chip is not straightforward, neither it is to simulate the resulting circuit. The structure of these systems leads to a netlist of more than 100.000 nodes for a small array of 100×150 pixels. Moreover, introducing an optical input in the low level simulation is nowadays not feasible with standard electrical simulation environments. Given that, to accomplish the task of integrating those systems in silicon to build compact, low power consuming, and reliable systems, a previous step in the standard analog electronic design flux should be introduced. Here a methodology to make the translation from the biological model to circuit-level specifications for electronic design is proposed. The purpose is to include non ideal effects as mismatching, noise, leakages, supply degradation, feedthrough, and temperature of operation in a high level description of the implementation, in order to accomplish behavioural simulations that require less computational effort and resources. A particular case study is presented, the analog electronic implementation of the locust's Lobula Giant Movement Detector (LGMD), a neural structure that fires a collision alarm based on visual information. The final goal is a collision threat detection vision system on-chip for automotive applications. |
Agencias financiadoras | European Union |
Identificador del proyecto | IST-2001-38097
TIC2003 - 09817-C02-01 |
Cita | Cuadri Carvajo, J., Liñán Cembrano, G., Roca Moreno, E. y Rodríguez Vázquez, Á.B. (2005). Macromodelling for analog design and robustness boosting in bio-inspired computing models. Proceedings of SPIE, 5839, 1-12. |
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