Collaborators
  Some of the people I have worked with or am working with: Fernando Almeida e Costa, Randall Beer, Thomas Buhrmann, Ezequiel Di Paolo, Chrisantha Fernando, Peter Fine, Tom Froese, Inman Harvey, Shawn Lockery, Jon Rowe, Nathaniel Virgo, and Paul Williams. Other people I tend to discuss research with: Xabier Barandiaran, Matt Bardeen, Matthew Egbert, Hiroyuki Iizuka, and Marieke Rohde.
PhD thesis
  Izquierdo, E. (2008) The dynamics of learning behaviour: A situated, embodied, and dynamical systems approach. Ph.D. Thesis. University of Sussex.

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Journal publication
  Izquierdo, E., Harvey, I., Beer, D.R., (2008) Associative learning on a Continuum in Evolved Dynamic Neural Networks. Adaptive Behavior 16, 361-384.
Abstracts
  Izquierdo, E., Lockery, S.R., (2009) A minimal neural network model of klinotaxis behavior in C. elegans. 17th International C. elegans Meeting. University of California, Los Angeles. 2009.
Publications in proceedings
  Izquierdo, E. and Buhrmann, T. (2008) Analysis of a dynamical recurrent neural network evolved for two qualitatively different tasks: Walking and chemotaxis. In S. Bullock, J. Noble, R. A. Watson, and M. A. Bedau (Eds.) Proceedings of the 11th International Conference on Artificial Life (pp. 257-264). MIT Press. (Winner of best student paper award).
  Izquierdo, E. and Fernando, C. (2008) The evolution of evolvability in gene transcription networks. In S. Bullock, J. Noble, R. A. Watson, and M. A. Bedau (Eds.) Proceedings of the 11th International Conference on Artificial Life (pp. 265-273). MIT Press.
Izquierdo, E., and Harvey, I. (2007) The Dynamics of Associative Learning in an Evolved Situated Agent. In F. Almeida e Costa et al. (Eds.), Advances in Artificial Life (pp. 365-374). Springer.
Fine, P., Di Paolo, E., and Izquierdo, E. (2007) Adapting to your body. In F. Almeida e Costa et al. (Eds.), Advances in Artificial Life (pp. 203-211). Springer.
Froese, T., Virgo, N., and Izquierdo, E. (2007) Autonomy: a review and reappraisal. In F. Almeida e Costa et al. (Eds.), Advances in Artificial Life (pp. 455-464). Springer.
  Izquierdo, E. and Harvey, I. (2007) Hebbian Learning using Fixed Weight Evolved Dynamical 'Neural' Networks. In H.A. Abbass et al (Eds.) Proceedings of the First IEEE Symposium on Artificial Life. pages 394-401. ISBN: 1-4244-0698-6. IEEE Press.
  Izquierdo, E. and Harvey, I. (2006) Learning on a Continuum in Evolved Dynamical Node Networks. In L. Rocha et al (Eds.) Proceedings of the Tenth International Conference on the Simulation and Synthesis of Living Systems. pages 507-512. MIT Press.
  Izquierdo, E. and Di Paolo, E. (2005) Is an Embodied System Ever Purely Reactive? In M. Capcarrere et al (Eds.) Proceedings of the 8th European Conference on Artificial Life. pages 252-261. Springer-Verlag. LNAI 3630.
  Izquierdo, E. (2004) The Role of Nearly Neutral Networks in the Evolution of Dynamical Neural Networks. In J. Pollack et al (Eds.) Proceedings of the 9th International Conference on the Simulation and Synthesis of Living Systems (Alife9). pages 322-327. MIT Press.
As Editor
  Almeida e Costa, F. and Izquierdo, E. (2006) Special Issue on the Dynamical Systems approach to Cognition. Journal of Adaptive Behavior 14(2).
Other peer-reviewed work
  Izquierdo, E. and Harvey, I. (2006). A Situated, Embodied and Dynamical Systems Approach to Understanding Learning and Memory. AI'50. 50th Anniversary Summit of Artificial Intelligence. Monte Verita, Switzerland, 9-14 July, 2006.
  Izquierdo, E. and Harvey, I. (2005) Learning to Discriminate Between Multiple Possible Environments: an Imprinting Scenario. In Workshop on Memory and Learning Mechanisms in Autonomous Robotics as part of the 8th European Conference on Artificial Life (ECAL 2005). Canterbury, UK.
Talks
  (August 7th, 2008) Analysis of a dynamical recurrent neural network evolved for two qualitatively different tasks: Walking and chemotaxis. Presented at Alife XI. Winchester, UK. Download PDF slides.
  (April 9th, 2008) Continuous-time recurrent neural networks as models of cell signaling networks. Presented at the ESIGNET meeting in Jena, Germany.
  (April 8th, 2008) Evolutionary robotics as a tool for studying learning behaviour. Presented at the Bernstein Centre for Computational Neuroscience and Max Planck Institute for Self-organisation and dynamics in Goettingen, Germany.
  (Sept. 11th, 2007). The Dynamics of Associative Learning in a Situated Agent. Presented to ECAL 2007, Lisbon, Portugal. Download PDF slides.
  (March 4th, 2007). Hebbian Learning using Fixed Weight Evolved Dynamical 'Neural' Networks. Presented to CI-ALife 2007 (First IEEE Symposium on Artificial Life), Honululu, Hawaii. Download PDF slides.
  (Feb. 13th, 2006). Artificial Evolution of Learning Behavior: an Embodied, Situated and Dynamical Systems Approach. Cognitive Science Program and the School of Informatics Colloquia, Bloomington, Indiana University.
  (Nov. 9th, 2005). Learning on a Continuum in Evolved Dynamical Node Networks: an Imprinting Scenario. Presented to Alergic (Artificial Life Reading Group) University of Sussex. Download PDF slides.
  (Sept. 9th, 2005). Is an Embodied System Ever Purely Reactive? Presented to ECAL2005 (European Conference on Artificial Life), Canterbury, UK. Download PDF slides.
  (Sept. 6th, 2005). Learning to Discriminate Between Multiple Possible Environments: an Imprinting Scenario. Presented in the workshop on Memory and Learning Mechanisms in Autonomous Robotics by Tuci and Kim at ECAL2005, Canterbury, UK. Download PDF slides.
  (March. 9th, 2005). Explorations in Homeostatic Adaptation. Presented in the workshop on the Dynamical Systems approach to Life and Cognition by Almeida e Costa and Izquierdo at University of Sussex, UK. Download PDF slides.
  (Aug. 27, 2004) and (Sept. 14th, 2004). The Role of Nearly Neutral Networks in the Evolution of Dynamical Neural Networks. Presented to Alife9 (International Conference on Artificial Life) in Boston, US. Preliminary version presented in Alergic (Artificial Life Reading Group) University of Sussex. Download PDF slides.
Teaching
Summer terms 2005-2007: Non-Symbolic Artificial Intelligence. An introduction to artificial life for second year undergraduates.
Autumn term 2006: Foundations of Computation. An introduction to algorithms and logic for first year (first term) undergraduates [link only works on campus].
Autumn terms 2004-2006: Artificial Life. Artificial life for the Evolutionary and Adaptive Systems masters.
 
Organisation of scientific meetings
Co-organiser (with Eldan Goldenberg, Chris Buckley, Andy Philippidess and Seth Bullock) of a workshop on the Dynamics of Learning Behavior and Neuromodulation as part of ECAL 2007.
Co-organiser of the workshop Active Agents and Their Environments as Dynamical Systems, to be held during ECAL 2005 in the University of Kent, in September 2005.
Co-organiser of the workshop DSaLC (Dynamical Systems approach to Life and Cognition),to be held in the University of Sussex, in March 2005. 
Co-organising a dynamical systems approach to life and cognition reading group (October 2004 - ongoing).
 
Technical reports
Third year progress report: The Dynamics of Learning Behaviour and Memory. June 2007.
Second year progress report: Evolution and Analysis of the Dynamics of Learning Behaviour and Memory. May 2006.
First year progress report: The Artificial Evolution of Adaptive Behaviour: Homeostasis and Lifetime Adaptation. July 2005.
Initial PhD Proposal (2003 - now outdated). Dynamics of Neutral Evolution in the Development of Neural Controllers.
 
MSc work

Thesis

Izquierdo, E. (Sept. 2004). Evolving Dynamical Systems: nearly neutral regions in continuous fitness landscapes.

Course Work

Further Analysis in the Dynamics of Active Categorical Perception in an Evolved Model Agent. April 2004 for Adaptive Systems.
Evolutionary Approaches to Molecular Biology: Neutral Networks in DNA Assembly. April 2004.
Book Review: The Ontogeny of Information by Susan Oyama. March 2004. for Advanced Technical Communication
An Overview of Evolutionary Robotics. Feb. 2004. Web page for Advanced Technical Communication.
The Role of Selective Neutrality in Evolutionary Search. Jan 2004. Presented for Advanced Technical Communication
Collective Intelligence in Multi-Agent Robotics: Stigmergy, Self-Organization and Evolution. Dec 2003. for Animal and Machine Intelligence
  On the Evolution of Continuous Time Recurrent Neural Networks with Neutrality. Dec 2003. for Artificial Life
  The Cards Problem: A Genetic Approach. Oct 2003. for Artificial Life
 
Computer engineer undergraduate thesis
Izquierdo, E. (July 2002). Mejoras al Sistema de Planificacion de SUMA (Improvements to the Scheduler of SUMA: Grid System). [ps.gz] [slides] (in spanish).