Articles

Publications, research supervision & teaching

  • Seinfeld, S, Bergstrom, I,  Pomes, A,  Arroyo-Palacios, J,  Vico, F,  Slater, M,  Sanchez-Vives, MV (2016) Influence of music on anxiety induced by fear of heights in virtual reality. Frontiers in Psychology, 6(1969). DOI: 10.3389/fpsyg.2015.01969 (online)
  • Caparros-Gonzalez R, Torre-Luque, A, Buela-Casal G, Vico F (2015) MELOMICS relaxing music for premature infants: preliminary results testing its effects on physiological parameters. In 10th International Conference on Child and Adolescent Psychopathology (20 - 22 July 2015 ) Roehampton University, London
  • Torre-Luque A, Caparrós-González R, Bastard T, Buela-Casal G, Vico F (2015) Acute stress recovery through listening to Melomics relaxing music: A randomized controlled trial. Nordic Journal of Music Therapy (PDF). 
  • Torre-Luque A, Caparrós-González R, Bastard T, Buela-Casal G, Vico F (2014) Effects of relaxing music listening after the exposure to acute stress within laboratory settings. In Proceedings of the 7th International Congress of Clinical Psychology, 14-16 November (Seville) (PDF, poster)
  • Requena G., Sánchez C, Corzo-Higueras JL, Reyes-Alvarado S, Rivas-Ruiz F, Vico F, Raglio A (2014) Melomics music medicine (M3) to lessen pain perception during pediatric prick test procedure. Pediatric Allergy and Immunology, 25(7), 721-724. DOI: 10.1111/pai.12263 (PDF)

  • Fernandez JD, Vico FJ (2013) AI Methods in Algorithmic Composition: A Comprehensive Survey. Journal of Artificial Intelligence Research, 48513-582. (PDF)

  • Sánchez C, Moreno F, Albarracín D, Fernández JD, Vico FJ (2013) Melomics: A Case-Study of AI in Spain. AI Magazine, 34(3), 99-103. DOI: 10.1609/aimag.v34i3.2464 (PDF)

  • Ball, P. (2012) Algorithmic rapture. Nature488, 458. DOI: 10.1038/488458a (on Iamus)

  • Seinfeld S, Bergstrom I, Slater M, Vico F, Sanchez-Vives M. (2012) The influence of relaxing music on anxiety induced by fear of heights in an immersive virtual reality experience. In Proceedings of the 120th APA Convention, 1-5 August (Orlando, FL). (PDF)

  • Fernandez JD, Vico FJ & Doursat R (2012) Complex and diverse morphologies can develop from a minimal genomic model. Proceedings of the Genetic and Evolutionary Computation Conference (GECCO2012): 553-560. DOI: 10.1145/2330163.2330242

  • Fernandez JD, Doursat R & Vico FJ (2012) The Evolution of Controller-Free Molecular Motors from Spatial Constraints. Proceedings of the Spatial Computing Workshop (SCW2012): 19-24. (PDF)

  • Fernandez JD, Lobo D, Martin G, Doursat R & Vico FJ (2011) Emergent diversity in an open-ended evolving virtual community. Artificial Life18(2), pp. 199-222. DOI: 10.1162/artl_a_00059

  • Fernandez JD & Vico FJ (2011) Automating the search of molecular motor templates by evolutionary methods. Biosystems, 106(2): 82-93. PDF

  • Lobo D, Dassow J & Vico FJ (2011) Graph grammars with string-regulated rewriting. Theoretical Computer Science, 412(43), pp. 6101-6111. PDF

  • Lobo D & Vico FJ (2010) Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks. Biosystems, 102(2-3): 112-123. DOI:10.1016/j.biosystems.2010.08.003

  • Lobo D & Vico FJ (2010) Evolutionary development of tensegrity structures. Biosystems, 101(3): 167-176. DOI:10.1016/j.biosystems.2010.06.005

  • Martin GM, Vico FJ, Dassow J & Truthe, B (2010) Low disruption transformations on cyclic automata. Fundamenta Informaticae, 104(1-2): 93-110. PDF

  • Dassow J, Martin GM & Vico FJ (2009) Evolving under small disruption. In Proceedings of the Workshop on Non-Classical Models of Automata and Applications (NCMA09) -17th International Symposium on Fundamentals of Computation Theory, pp. 91-106. 31/08-1/09, Wroclaw, (Poland). PDF

  • Dassow J, Martin GM & Vico FJ (2009) A similarity measure for cyclic unary regular languages. Fundamenta Informaticae, 96(1-2):71-88. PDF

  • Casas M, Vico FJ (2009) On the performance of some bioinspired genetic operators in complex structures evolution. In Proceedings of the 2009 Genetic and Evolutionary Computation Conference (GECCO'09), pp. 1841-1842. July 8-12, Montreal (Canada). (PDF - long version)

  • Dassow J, Martin GM & Vico FJ (2009) Some operations preserving primitivity of words. Theoretical Computer Science, 410 (30-32): 2910-2919. PDF

  • Vico FJ (2008)  Biomimetic Engineering. Acta Hort. (ISHS) 802:21-32. (PDF)

  • Vico FJ (2007)  Selfo: A class of self-organizing connection games. Technical report ITI 07-7. Dpto. Lenguajes y Ciencias de la Computación (Universidad de Málaga). (PDF)

  • Seamari Y, Narvaez JA, Vico FJ, Lobo D, Sanchez-Vives MV (2007)  Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States. PLoS ONE 2(9): e888. DOI: 10.1371/journal.pone.0000888

  • Vico F, Canteli V, Lobo D, Fernandez JD, Bandera C, Garcia-Linares A, Rivas R, Rosen M & Schlegel B (2007)  Mobile just-in-time training application for emergency healthcare. In Proceedings of the IADIS International Conference. Mobile Learning, pp. 209-213. Lisbon (Portugal). (PDF)

  • Vico F, Canteli V, Lobo D, Fernandez JD, Bandera C, Garcia-Linares A, Rivas R, Rosen M & Schlegel B (2007)  Just-in-time etraining applied to emergency medical services. In Proceedings of the Third Internatioonal Conference on Computational Intelligence in Mecicine and Healthcare. Plymouth (UK). (PDF)

  • Seamari Y, Narvaez JA, Vico FJ, Lobo D, Sanchez-Vives MV (2007)  Separación automatica off- y online de estados corticales de activacion en registros intracelulares. Proceedings of XII Congreso Bienal de la SENC, pp. 101. Valencia (Spain) (PDF)

  • Veredas F, Vico F & Alonso JM (2006) Evolving networks of integrate-and-fire neurons. Neurocomputing, 69 (13-15): 1561-1569. DOI: 10.1016/j.neucom.2005.06.013 (PDF)

  • Veredas F, Vico F & Alonso JM (2005) Factors determining the precision of the correlated firing generated by a monosynaptic connection in the cat visual pathway. Journal of Physiology, 567: 1057-1078. DOI: 10.1113/jphysiol.2005.092882 (PDF)

  • Jerez J, Atencia M & Vico F (2005) A learning rule to model the development of orientation selectivity in visual cortex. Neural Processing Letters, 21 (1): 1-20. DOI: 10.1007/s11063-004-2023-7 (PDF)

  • Sanchez A, Vico F, Lopez I, Cabello S, Veredas F, Seamari Y, Farfan J & Garcia-Herrera G (2005) A competitive-based method for determining the number of groups: a clinical application. In Computational Intelligence and Bioinspired Systems, LNCS 3512, pp. 1214-1221. (PDF)

  • Vico F, Veredas F, Seamari Y & Lopez I (2005) Formalización y aplicación de un proceso de especiación biológica.  In Actas del I Congreso Español de Informática, pp. 475-477.  IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. Granada (Spain).  (PDF)

  • Vico F, Veredas F, Seamari Y,  Lopez I, Farfan J & Garcia-Herrera G (2005)  Generation of gait patterns with competitive learning.  In Proceedings of the 2nd International Conference on Computational Intelligence in Medicine and Healthcare (CIMED2005), pp. 336-339. Lisbon (Portugal).  (PDF, poster PDF)

  • Veredas F, Vico F & Alonso JM (2004)  A computational tool to simulate correlated activity in neural circuits.  Journal of Neuroscience Methods, 136 (1): 23-32. DOI: 10.1016/j.jneumeth.2003.12.026. (PDF)

  • Veredas F, Alonso JM & Vico FJ (2004)  Estudio de la influencia de factores fisiológicos y de conectividad de red en la correlación de actividad entre pares de neuronas de integración y disparo.  In Actas del I Simposio de la Red Andaluza de Sistemas Inteligentes (ISTANET), pp. 163-184. Málaga (Spain).

  • Taboada JM, Rojas J & Vico F (2004)  Geometría Fractal aplicada al Diseño de Piezas de Joyería.  In Actas del I Congreso Internacional sobre Fundamentos Fractales para el Diseño Arquitectónico y Medioambiental del Siglo XXI. Madrid (Spain).  (PDF)

  • Jerez J, Atencia M, Vico F & Dominguez E (2003)  A learning rule to model the development of orientation selectivity in visual cortex.  In Computational Methods in Neural Modeling,  LNCS 2686, pp. 190-197.  (PDF)

  • Vico F & Jerez J (2003)  Stable neural attractors formation: learning rules and network dynamics.  Neural Processing Letters, 18 (1): 1-16. DOI: 10.1023/A:1026258500432. (PDF)

  • Vico F, Mir P, Veredas F & de la Torre J (2001)  Animal-like adaptive behaviour. Artificial Intelligence in Engineering, 15 (1): 5-12. DOI: 10.1016/S0954-1810(00)00023-6. (PDF)

  • Burrezo S, Garcia A, Vico F, Garcia-Herrera G, Garrido J & Farfan J (2001)  Hip surgery planning from preoperative radiographs.  In Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED'01), pp. 121-125. Milos (Greece).  (PDF)

  • Vico F, Burrezo S, Polifeme C, García-Herrera G & Farfan J (2001)  Knee surgery planning with genetic algorithms and neural networks.  In Proceedings of the 4th International Conference on Neural Networks and Expert Systems in Medicine and Healthcare (NNESMED'01), pp. 335-340. Milos (Greece).  (PDF)

  • Manzano O, Vico F & Veredas F (2000)  Inhibitory unlearning: a mechanism for increasing the storage capacity in an attractor network.  In Proceedings of the 4th International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies, 1, pp. 177-180. Brighton (UK).  (PDF)

  • Veredas F, Alonso JM & Vico F  (2000)  Exploring networks that generate correlated firing consistent with monosynaptic connections.  Soc Neurosci Abstr 26.  (PDF)

  • Vico F, Guillen MJ, Burrezo S, Aguilar J, Polifeme C & Veredas F (2000)   A clustering  method based on genetic search and competitive learning. In Proceedings of the 7th International Conference on Neural Information Processing (ICONIP'00), 2, pp. 750-754. Taejon (Korea).  (PDF)

  • Vico F, Guillen MJ, Veredas F & Polifeme C (2000)  Modeling the intrinsic dynamics of biological speciation.  In Proceedings of the Real Life Evolutionary Design Optimization Conference (PPSN'2000), pp. 138-140. Paris (France).

  • Veredas F, Vico F & Guillen MJ (2000)  Genetic algorithms with implicit encoding for solving high-dimensional optimization problems.  In Proceedings of the Real Life Evolutionary Design Optimization Conference (PPSN'2000), pp. 151-155. Paris (France).

  • Vico F, Veredas F, Bravo JM & Almaraz J (1999)  Automatic design synthesis with artificial intelligence techniques.  Artificial Intelligence in Engineering, 13(3), pp. 251-256. DOI: 10.1016/S0954-1810(99)00014-X. (PDF)

  • Vico F & Veredas F (1999)  A Clustering Algorithm Based on Competitive Learning. In Intelligent Engineering Systems through Artificial Neural Networks, 9 (Smart Engineering System Design), pp. 765-770. St. Louis (MO - USA).

  • Vico F & Veredas F (1999)  Automatic Measurements on Knee Implant X-ray Images.  In Intelligent Engineering Systems through Artificial Neural Networks, 9 (Smart Engineering System Design), pp. 969-974. St. Louis (MO - USA).

  • Veredas F & Vico F (1998)  Computación evolutiva basada en un modelo de codificación implícita. In Revista Iberoamericana de Inteligencia Artificial, 5, pp. 20-25. (PDF)

  • Vico F, Bravo JM, Veredas F, Redrejo A & Ortega F (1997)  Neural and evolutionary computation for industrial manufacturing.  In Proceedings of the European Simulation Multiconference, pp. 81-86. Istanbul (Turkey).

  • Bandera C, Du F, Bravo JM, Veredas F, Vico F & Ortega F (1997)  Pork carcasses characterization with color vision.  In Proceedings of the European Simulation Multiconference, pp. 359-366. Istanbul (Turkey).

  • Vico F, Bravo JM, Veredas F, Ortega F & Mir P (1997)  A design synthesis paradigm based on neural and genetic systems. In Proceedings of Concurrent Engineering European Conference, pp. 149-153. Erlangen-Nuremberg (Germany).

  • Vico F (1996)  Biomimética: biología artificial. Encuentros en la biología, 31. (full text)

  • Bandera C, Vico F, Bravo JM, Harmon ME & Baird LC (1996)  Residual Q-Learning applied to visual attention.  In Proceedings of the Thirteenth International Conference on Machine Learning, pp. 20-27. Bari (Italy).  (PDF)

  • Vico F, Jerez J, Ortega F, Gonzalez M & Molina I (1995)  Goal planning by reinforcement prediction. In Proceedings of the European Congress on Artificial Life (ECAL'95), p. 27. Granada (Spain).

  • Vico F, Ortega F, Jerez J, Gonzalez M & Conde I (1995)  A multiacuity connectionist model for attentional control and tracking.  In Proceedings of the World Congress on Neural Networks I, pp. 234-237. Washington, (USA).

  • Vico F, Ortega F, Jerez J, Gonzalez M & Conde I (1995)  Modeling synaptic plasticity for features detection. In Proceedings of the World Congress on Neural Networks (WCNN'95)I, pp. 238-241. Washington, (USA).

  • Vico F, Ortega F, Almaraz J (1995)  Character recognition with neural assemblies.  In From Natural to Artificial Neural Computation, LNCS 930, pp. 486-490. DOI: 10.1007/3-540-59497-3. (PDF)

  • Bandera C, Conde I, Jerez J, Gonzalez M, Vico F & Ortega F (1995)  A multiacuty connectionist model for local speed estimation.  In From Natural to Artificial Neural Computation, LNCS 930: 979-986.

  • Ortega F, Vico F, Gonzalez M & Jerez J (1995)  Classical conditioning for autonomous navigation.  In Proceedings of the 14th International Congress on Cybernetics. Namur (Belgium).

  • Ortega F, Jerez J, Vico F, Gonzalez M & Conde I (1995)  Artificial life in artificial worlds.  In Proceedings of the 1995 EUROSIM Conferece, pp. 1241-1246. Vienna (Austria).

  • Gonzalez M, Ortega F & Vico F (1994)  Conditioning as the basis of cognition and adaptive behavior.  In III International Workshop on Artificial Life and Artificial Inteligence (DBRAC'94), pp. 162-164. San Sebastián (Spain).

  • Vico F, Garrido F & Leibovic N (1994)  A connectionist model for local speed estimation.  In Proceedings of the IEEE International Conference on Image Processing (ICIP-94), 2: 262-266. Austin (TX, USA).  (PDF)

  • Vico F & Almaraz J. (1994)  A Hebb-like learning rule for cell assemblies formation", In Proceedings of the International Conferece on Artificial Neural Networks (ICANN'94). Sorrento (Italy).

  • Lahoz-Beltra R, Murciano A, Zamora J, Vico F, Jerez J & Hameroff S (1993)  A computer simulation of backwards feedback across synapse via arachidonic acid.  In Proceedings of the International Conference on Artificial Neural Networks, pp. 200-203.

  • Vico F & Almaraz J (1993)  Modelling biological learning from its generalization capacity.  In Proceedings of the European Symposium on Artificial Neural Networks, pp. 51-56. (PDF)

  • Vico F & Almaraz J (1993)  Learning by reinforcement: A psychobiological model.  In New Trends in Neural Computation, LNCS 686: 78-83.

  • Galache T, Vico F & Gonzalez A (1992)  Redes neuronales: Una nueva alternativa para modelar y predecir series temporales no lineales.  In Actas del I Congreso Iberoamericano de Estadística e I.O.

  • Vico F (1992)  A learning by reinforcement model from the neurobiological outlook.  In Proceedings of the International Conference on Artificial Neural Networks (ICANN'92), 2, I: 289-292. Brighton (UK).

  • Vico F & Almaraz J (1992)  A learning by reinforcement model to predict associative and nonassociative phenomena.  In Proceedings of the V International Symposium on Knowledge Engineering, pp. 190-194. Sevilla (Spain).

  • Vico F (1992)  Neural network definition algorithm. Microprocessing and Microprogramming, 34(1-5): 251-254.  (PDF)

  • Vico F (1991)  Use of genetic algorithms in neural networks definition.  In Artificial Neural Networks, LNCS 540: 196-203.

 

Teaching

    • Master in Software Engineering and Artificial Intelligence.  Course on "Neural and Neuro-Fuzzy Systems", 1999-2008.  University of Malaga.

    • Lecturer in Theory of Automata and Formal Languages, 1996-present.  ETSI Informatica.  University of Malaga.

    • 7 PhD Thesis supervised.

    • 40+ MSc Thesis supervised.