Publications

(Publication list in Google Scholar)

Izquierdo, E.J. (2019) Role of simulation models in understanding the generation of behavior in C. elegans. Current Opinion in Systems Biology. 13:93–101. doi: 10.1016/j.coisb.2018.11.003

Candadai, M., Setzler, M., Izquierdo, E.J., Froese, T. (2019) Embodied dyadic interaction increases complexity of neural dynamics: A minimal agent-based simulation model. Frontiers in Pscychology. 10. doi: 10.3389/fpsyg.2019.00540.

Rodriguez, N., Izquierdo, E.J., Ahn, Y.Y. (2019) Optimal modularity and memory capacity of neural reservoirs. Network Neuroscience. 3(2):551-566. doi: 10.1162/netn_a_00082.

Izquierdo, E.J. Beer, R.D. (2018) From head to tail: A neuromechanical model of forward locomotion in C. elegans. Philos Trans R Soc Lond B Biol Sci. 373(1758). pii: 20170374. doi: 10.1098/rstb.2017.0374.

Yoder A.J.,  Izquierdo E.J. (2018) Behavioral stability in the face of neuromodulation in brain-body-environment systems. In Proceedings of the International Conference on Artificial Life. Tokyo, Japan. MIT Press. doi: 10.1162/isal_a_00054.

Candadai M.V., Izquierdo E.J. (2018) Three levels of neural reuse in embodied agents. In Proceedings of the Conference of the Cognitive Science Society. Madison, Wisconsin.

Froese, T., Izquierdo, E.J. (2018) A dynamical approach to the phenomenology of body memory: Past interactions can shape present capacities without neuroplasticity. Journal of Consciousness Studies. 25(7-8):20-46(27).

Siqueiros JM, Froese T, Gerhenson C, Aguilar W, Sayama H, Izquierdo EJ (2018) ALife and Society: Editorial Introduction to the Artificial Life Conference 2016 Special Issue. Artificial Life 24(1). MIT Press.

Olivares, E., Izquierdo, E.J., Beer, R.D. (2017) Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in Caenorhabditis elegans. Network Neuroscience. Advance publication 10.1162/netn_a_00036.

Aguilera, M., Alquezar, C., Izquierdo, E.J. (2017) Signatures of criticality in a maximum entropy model of the C. elegans brain during free behaviour. Proceedings of the 14th European Conference of Artificial Life. Lyon, France.

Candadai M.V., Izquierdo, E.J. (2017) Information Bottleneck in Control Tasks with Recurrent Spiking Neural Networks. Proceedings of the 26th International Conference on Artificial Neural Networks. Sardinia, Italy.

Setzler M., Izquierdo, E.J. (2017) Adaptability and Neural Reuse in Minimally Cognitive Agents. Proceedings of the 39th Annual Conference of the Cognitive Science Society. London, UK: Cognitive Science Society.

Candadai M.V., Izquierdo, E.J. (2017) Evolution and Analysis of Embodied Spiking Neural Networks Reveals Task-Specific Clusters of Effective Networks. Proceedings of The Genetic and Evolutionary Computation Conference. Berlin, Germany: ACM.

Izquierdo, E.J., Beer, R.D. (2016) The whole worm: brain–body–environment models of C. elegans. Current Opinion in Neurobiology 40:23–30. doi:10.1016/j.conb.2016.06.005

Roberts WM, Augustine SB, Lawton KJ, Lindsay TH, Thiele TR, Izquierdo EJ, Faumont S, Lindsay RA, Britton MC, Pokala N, Bargmann CI, Lockery SR (2016) A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans. eLife 2016;10.7554/eLife.12572.

Izquierdo, E.J., Williams, P. and Beer, R.D. (2015). Information flow through the C. elegans klinotaxis circuit. PLoS ONE 10(10):e0140397. doi:10.1371/journal.pone.0140397.

Izquierdo, E.J. and Beer, R.D. (2015). An integrated neuromechanical model of steering in C. elegans. In the Proceedings of ECAL 2015 (pp. 199-206). MIT Press.

Izquierdo, E.J., Aguilera, M. and Beer, R.D. (2013). Analysis of ultrastability in small dynamical recurrent neural networks. In P. Lio, O. Miglino, G. Nicosia, S. Nolfi & M. Pavone (Eds.), Advances in Artificial Life: ECAL 2013 (pp. 51-58).

Izquierdo, E.J., and Beer, R.D.  (2013) Connecting a connectome to behavior: An ensemble of neuroanatomical models of C. elegans klinotaxis. PLoS Computational Biology 9(2): e1002890. doi:10.1371/journal.pcbi.1002890.

Izquierdo, E.J., and Lockery, S.R.  (2010) Evolution and analysis of minimal neural circuits for klinotaxis in C. elegans. Journal of Neuroscience 30:12908-12817. doi:10.1523/JNEUROSCI.2606-10.2010

Izquierdo, E.J., Harvey, I. and Beer, R.D. (2008) Associative learning on a continuum in evolved dynamical neural networks. Journal of Adaptive Behavior 16:361-384.

Izquierdo, E.J. 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.) Proc. of the 11th Int. Conf. on Artificial Life. MIT Press, Cambridge, MA. Winner of the best student paper award.

Izquierdo, E.J. 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.) In S. Bullock, J. Noble, R. A. Watson, and M. A. Bedau (Eds.) Proceedings of the 11th Int. Conf. on Artificial Life. MIT Press, Cambridge, MA.

Izquierdo, E.J. and Harvey, I. (2007) The dynamics of associative learning in an evolved situated agent. In Proceedings of the 9th European Conference on Artificial Life. Springer-Verlag.

Fine, P., Di Paolo, E., and Izquierdo, E.J. (2007) Adapting to your body. In F. Almeida e Costa et al. (Eds.), Advances in Artificial Life: Proceedings of the Ninth European Conference on Artificial Life (pp. 203-211). Springer.

Froese, T., Virgo, N., and Izquierdo, E.J. (2007) Autonomy: a review and reappraisal. In F. Almeida e Costa et al. (Eds.), Advances in Artificial Life: Proceedings of the Ninth European Conference on Artificial Life (pp. 455-464). Springer.

Izquierdo, E.J., 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 (pp. 394-401). IEEE Press.

Izquierdo, E.J., 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 (pp. 507-512). MIT Press.

Izquierdo, E.J., and Di Paolo, E. (2005) Is an embodied system ever purely reactive? In M. Capcarrere et al. (Eds.) Advances in Artificial Life: Proceedings of the Eight European Conference on Artificial Life (pp. 252-261). Springer-Verlag.

Izquierdo, E.J. (2004) The Role of Nearly Neutral Networks in the Evolution of Dynamical Neural Networks. In J. Pollack et al. (Eds.) Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems (pp. 322-327). MIT Press.

As Editor

Siqueiros JM, Froese T, Gerhenson C, Aguilar W, Sayama H, Izquierdo EJ (In Press) Special Issue: Artificial Life Conference 2016. Artificial Life 24(1). MIT Press.

Gerhenson C, Froese T, Siqueiros JM, Aguilar W, Izquierdo EJ, Sayama H. (2016) Proceedings of the Artificial Life Conference 2016. MIT Press. ISBN: 9780262339360.

Izquierdo, E.J. and Almeida e Costa, F. (2006) Special Issue on the dynamical systems approach to cognition. Adaptive Behavior 14(2).

Ph.D. thesis

The dynamics of learning behavior: A situated, embodied, and dynamical systems approach (2008). University of Sussex.

 

Page updated April, 2017.