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Address: Jordi COSP VILELLA
Electronic Engineering Department
Universitat Politècnica de Catalunya (UPC) BarcelonaTech
C/ Eduard Maristany, 10-14
08019 - BARCELONA (Spain)
+34 93 413 74 92 (desk) / +34 93 413 70 05 (lab)
Fax: +34 93 413 74 01

e-mail: jordi.cosp'-at-' please remove '-at-' and place @ to get the correct address


At present, I am involved in these research projects:
  • Sistema en chip micro-electro-mecánico (MEMSOC) - Micro-Electro-Mechanical System-On-Chip - funded by Spanish Ministerio de Ciencia e Innovación (MICINN) - TEC2011-27047
  • Radiation tolerant analogue/mixed signal technology survey and test vehicle design - funded by Arquimea Ingeniería, S.L. (European Space Agency)
  • Front-end readout ASIC technology study and development test vehicles for front-end readout ASICS - funded by Arquimea Ingeniería, S.L. (European Space Agency)
Finished projects:
  • Integración Sensorial Neuronal y Autoadaptativa para sistemas empotrados de percepción del entorno (Nessie2) - Neural and Self-adaptive Environment-Perception Embedded Systems - funded by Spanish Ministerio de Ciencia e Innovación (MICINN) - TEC2008-06028
  • Integración Sensorial Autoadaptativa para Entornos en Red (NESSIE) - Networked Environment with Self-adaptive Sensor Integration - funded by Spanish  Comision Interministerial de Ciencia Y Tecnología (CICYT) - TEC-2007-67144/MIC
  • Sistema Reconfigurable Mixto para acondicionamiento de MEMS (REMMS) - Mixed Reconfigurable System for MEMS conditioning - funded by Spanish Comision Interministerial de Ciencia Y Tecnología (CICYT) - TEC2004-03940
  • Pervasive computing framework for modeling complex virtually-unbounded systems (PERPLEXUS) - funded by the E.U. IST-FET, FP6 - 34632
  • Sistema VLSI Analógico Bioinspirado para Segmentacion de Imagen (BIOSEG) - Bioinspired Analogue VLSI System for Image Segmentation - funded by the Spanish Comision Interministerial de Ciencia Y Tecnología (CICYT) - TIC2001-2183
  • Reconfigurable POEtic tissue - funded by E.U.  IST 2001-28027
  • Pre-design of a system-on-chip for a battery opperated wireless application
  • Low power mixed VLSI architectures for Neuro-Fuzzy applications - funded by Spanish Comision Interministerial de Ciencia Y Tecnología (CICYT) - TIC96-1195


Journals - Books and book chapters - Conferences - PhD Thesis


  • J. Cosp, S. Binczak, J. Madrenas, D. Fernandez, Realistic Model of Compact VLSI FitzHugh-Nagumo Oscillators, International Journal of Electronics, Vol. 101, Issue 2, pp. 220-230, February 2014

  • D. Fernandez, J. Madrenas, J. Cosp, A self-test and dynamics characterization circuit for MEMS electrostatic
    actuators, Microelectronics Reliability, Vol. 51, Issue 3, pp. 602-609, March 2011
  • J. Madrenas, D. Fernandez, J. Cosp, L. Martínez, E. Alarcon, E. Vidal, G. Villar, Self-controlled 4-transistor
    low-power min-max current selector, AEU: international journal of electronics and communications. Vol. 63
    Issue 10, pp. 871-876, October 2009

  • J.Cosp, S.Binczak, Programmable VLSI Cubic-Like Function Implementation, Electronics Letters, Vol. 42, Issue 21, pp. 1221 - 1222,October 2006

  • J.Cosp, J.Madrenas, D.Fernández, Design and Basic Blocks of a Neuromorphic VLSI Analogue Vision System, Neurocomputing, Vol. 69, Issues 16-18, pp.1962-1970, 2006
  • G.Villar,  E.Alarcón, E.Vidal, J.Cosp, J. Madrenas, Synchronizable Compact CMOS Oscillator, Analog Integrated Circuits and Signal Processing, Vol. 42, Issue 2, pp. 179-183, 2005.
  • J.Cosp, J. Madrenas, E.Alarcón, E.Vidal, G.Villar, Synchronization of Nonlinear Electronic Oscillators for Neural Computation, IEEE Transactions on Neural Networks, Vol. 15, Issue 3, pp. 1315-1327, May 2004.
  • J.Cosp, J. Madrenas, Scene Segmentation Using Neuromorphic Oscillatory Networks, IEEE Transactions on Neural Networks, Vol. 14, Issue 5, pp. 1278-1296, September 2003.


  • J.M.Moreno, J.Madrenas, J.Cosp (Eds.), Evolvable Systems: from Biology to Hardware, Proceedings of the 6th Int. Conf. on, Sitges, Spain, September 2005.
  • J. Cosp, J. Madrenas, J.M. Moreno, J. Cabestany, Analog VLSI Implementation of a Relaxation Oscillator for Neuromorphic Networks, Neuromorphic Systems. Engineering Silicon from Neurobiology. L. S. Smith, A. Hamilton (eds.), pp. 197-208, World Scientific, 1998.


  • J. Cosp, H. Martinez, Design of an On-Chip Linear-Assisted DC-DC Voltage Regulator, 20th IEEE International Conference on Electronics, Circuits and Systems 2013 (ICECS 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013, pp. 353-356

  • J. Cosp, H. Martinez, On chaotic behavior in automatic tuning loops for continuous-time filters, 21st European Conference on Circuit Theory and Design (ECCTD 2013), 2013, pp.1-4

  • H. Martinez, J. Cosp, M. Manzanares, Observation of chaotic behavior in automatic tuning loops for continuous time filters. Proceedings of the 56th  Midwest Symposium on Circuits and Systems 2013 (MWSCAS 2013), Institute of Electrical and Electronics Engineers (IEEE), 2013, pp. 742-745.



Date: July 2002
This dissertation describes and analyzes a hardware model of an artificial neural network based on coupled oscillators that have been adapted to fit VLSI requirements and its applications to scene segmentation tasks. To reduce area overhead and power consumption, neurons, which are modeled as astable oscillators, are implemented on a full custom ASIC instead of being simulated on a standard hardware architecture. The implementation of a physical oscillator instead of their simulation, allows the system to perform the same tasks and reduce power consumption compared to requirements needed for a computer to simulate the network.
First, a current-mode astable oscillator is modeled as an integrator and a hysteresis comparator. Then, this scheme is used to study algebraically and numerically the synchronization of excitatory coupled oscillators with and without external inhibition and mismatch. After this, the analysis is repeated with an improved model composed of two integrators with different timescales. This allows us to simulate secondary effects as oscillator output capacitance. From these results, the behavior of one-dimensional and two-dimensional arrays of coupled oscillators is studied and then, the network is applied to synthetic image segmentation.
Based on results of the mathematical analysis, a microelectronic network is designed on a double-poly 0.8µm CMOS ASIC. This circuit is described and extensively simulated to check its functionality as a segmentation layer. Then, experimental results validate the network functionality as a segmentation network and confirm the importance of secondary effects modeled in the mathematical analysis section. Finally, this dissertation ends with an estimation of the scheme complexity, compares it to other methods, sets out concluding remarks and explores future trends on implementation of neuromorphic segmentation schemes.
Mathematical analysis and simulations demonstrate that astable oscillators can be used as basic cells of segmentation networks. They also demonstrate that delays due to cell output capacitance combined with device mismatch have to be limited below certain boundaries for the network to work properly. The physical implementation of a neuron model based on a non-linear oscillator demonstrates that it is possible to implement an oscillatory segmentation scheme that runs much faster that its simulated counterpart on powerful computers.



Escola d'Enginyeria de Barcelona Est

Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona (ETSETB)
(Enginyeria Electrònica)