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A
N. Almássy and Verschure, P. F. M. J., Optimizing self-organizing control architectures with genetic algorithms: The interaction between natural selection and ontogenesis, The Second Conference on Parallel Problem Solving from Nature. Elsevier, pp. 451-460, 1992.
P. Althaus and Verschure, P. F. M. J., Distributed Adaptive Control 5: Bayesian theory of decision making, implemented on simulated and real robots, Third International Conference on Cognitive and Neural Systems. Boston, Massachusetts, USA, 1999.
S. I. Amari, Beltrame, F., Bjaalie, J. G., Dalkara, T., Schutter, E. D., Egan, G. F., Goddard, N. H., Gonzalez, C., Grillner, S., Herz, A., and Verschure, P. F. M. J., Neuroinformatics: The Integration of Shared Databases and Tools Towards Integrative Neuroscience, Journal of Integrative Neuroscience, vol. 1, no. 2, pp. 117-128, 2002.
J. R. Anderson, Lebiere, C., Agassi, J., Altmann, E. M., Garzon, C. F., Clancey, W. J., Commons, M. L., White, M. S., Gelepithis, P., and Gray, W. D., The Newell test for a theory of cognition. Commentaries. Authors' reply, Behavioral and brain sciences, vol. 26, no. 5, pp. 587-640, 2003.
M. A. Arbib, Verschure, P. F. M. J., and Seifert, U., Action, Language, and Music. Events in Time and Models of the Brain, in Language, Music, and the Brain. Strüngmann Forum Reports, M. A. Arbib MIT Press., 2013. SFR10_15 Arbib et al final.pdf (906.35 KB)
X. D. Arsiwalla and Verschure, P., Formalizing Information Complexity for Dynamical Networks, Conference on Complex Systems (CCS 2016). Complex Systems Society, 2016.
X. D. Arsiwalla and Verschure, P. F. M. J., Computing Information Integration in Brain Networks, in 12th International Conference and School, NetSci-X 2016, Wroclaw, Poland., 2016.
X. D. Arsiwalla and Verschure, P. F. M. J., Exploiting Complexity Resonances In Dynamical Networks, European Conference on Complex Systems. Complex Systems Society and Complexitat.cat, Barcelona, 2013.
X. D. Arsiwalla, Betella, A., Martínez, E., Omedas, P., Zucca, R., and Verschure, P. F. M. J., The Dynamic Connectome : A Tool For Large-Scale 3d Reconstruction Of Brain Activity In Real-Time, in Proceedings 27th European Conference on Modelling and Simulation ©ECMS, 2013, no. Xim, pp. 3 - 7.
X. D. Arsiwalla, Dalmazzo, D., Zucca, R., Betella, A., Brandi, S., Martinez, E., Omedas, P., and Verschure, P. F. M. J., Connectomics to Semantomics: Addressing the Brain's Big Data Challenge, Procedia Computer Science, vol. 53, pp. 48-55, 2015.
X. D. Arsiwalla, Garcia, R., and Verschure, P., An Algebraic Formulation of Quivers, Networks and Multiplexes, Conference on Complex Systems (CCS 2016). Complex Systems Society, 2016.
X. D. Arsiwalla, Zucca, R., Betella, A., Martinez, E., Dalmazzo, D., Omedas, P., Deco, G., and Verschure, P. F. M. J., Network Dynamics of the Human Brain Connectome with BrainX3, NetSci 2015. Network Science Society, 2015.
X. D. Arsiwalla, Betella, A., Martinez, E., Omedas, P., Zucca, R., and Verschure, P. F. M. J., The dynamic connectome: towards large-scale 3D reconstruction of brain activity in real-time (poster), CORTEX 2013 . Lyon, France, 2013. CORTEX13_UPF.pdf (1.29 MB)
X. D. Arsiwalla, Zucca, R., Betella, A., Dalmazzo, D., Omedas, P., and Verschure, P. F. M. J., Network dynamics with BrainX(3): a large-scale simulation of the human brain network with real-time interaction., Front Neuroinform., vol. 9, no. 2, 2015.
X. D. Arsiwalla and Verschure, P., High Integrated Information in Complex Networks Near Criticality, in 25th International Conference on Artificial Neural Networks (ICANN), 2016.
X. D. Arsiwalla and Verschure, P. F. M. J., Integrated Information for Large Complex Networks, in Proceedings of International Joint Conference on Neural Networks, Dallas, Texas, US, 2013, pp. 620 - 626.
X. D. Arsiwalla, Zucca, R., Betella, A., Dalmazzo, D., Martinez, E., Omedas, P., Deco, G., and Verschure, P., Dynamics of the Resting-State Connectome with BrainX3: From Health to Disease, 22nd Annual Meeting of the Organization for Human Brain Mapping. OHBM, 2016.
X. D. Arsiwalla and Verschure, P. F. M. J., Analytic Solutions for Network Information Complexity, NetSci 2015. Network Science Society, 2015.
X. D. Arsiwalla, Herreros, I., Moulin-Frier, C., Sánchez-Fibla, M., and Verschure, P., Is Consciousness a Control Process?, in 19th International Conference of the Catalan Association for Artificial Intelligence (CCIA 2016), 2016. ios-book-article.pdf (227.15 KB)
X. D. Arsiwalla, Barzel, B., and Verschure, P., Controllability Criteria for Discrete-Time Non-Linear Dynamical Networks, Conference on Complex Systems (CCS 2016). Complex Systems Society, 2016.
X. D. Arsiwalla and Verschure, P. F. M. J., A Theory of Information Processing for Large-Scale Brain Networks, CogSci 2015. Cognitive Science Society, p. 2844, 2015.
X. D. Arsiwalla, Zucca, R., Dalmazzo, D., Omedas, P., Deco, G., and Verschure, P., Large-Scale Brain Network Dynamics with BrainX3, Conference on Complex Systems (CCS 2016). Complex Systems Society, 2016.
X. D. Arsiwalla, Betella, A., Martinez, E., Omedas, P., Zucca, R., and Verschure, P. F. M. J., What a Dynamical Connectome Informs Us About Large-Scale Neural Circuits and Whole-Brain Activity, IJCNN2013 (International Joint Conference on Neural Networks), vol. Nr. 1366. Dallas, TX, USA, 2013. 01_IJCNN_2013.pdf (1.26 MB)
X. D. Arsiwalla and Verschure, P., The Global Dynamical Complexity of the Human Brain Network, Applied Network Science, vol. (in press), 2017.
X. D. Arsiwalla, Herreros, I., and Verschure, P., On Three Categories of Conscious Machines, in Living Machines 2016, Biomimetic and Biohybrid Systems, 2016.
B
F. Balampanis and Verschure, P. F. M. J., A Biomimetic Approach to an Autonomous Unmanned Air Vehicle, Living Machines, Biomimetic and Biohybrid Systems, vol. 7375. Springer, pp. 333-334, 2012.
B. R. Ballester, Nirme, J., Camacho, I., Duarte, E., Rodriguez, S., Cuxart, A., Duff, A., and Verschure, P. F. M. J., Functional recovery and cortical reorganization after domiciliary VR-based therapy: a randomized controlled trial in chronic stroke patients., JMIR Serious Games, vol. (in press), 2017.
B. R. Ballester, Lathe, A., Duarte, E., Duff, A., and Verschure, P. F. M. J., A Wearable Bracelet Device for Promoting Arm Use in Stroke Patients., Neurotechnix, vol. Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics. Lisbon, Portugal, pp. 24-31, 2015.
R. B. Ballester, Bermúdez i Badia, S., and Verschure, P. F. M. J., The effect of social gaming in virtual reality based rehabilitation of stroke patients, ICVR 2011. IEEE, Zurich, Switzerland, 2011.
B. R. Ballester, Maier, M., Mozo, R. M. S. S., Castañeda, V., Duff, A., and Verschure, P. F. M. J., Counteracting learned non-use in chronic stroke patients with reinforcement-induced movement therapy., Journal of NeuroEngineering and Rehabilitation, vol. 13, no. 1, 2016.
B. R. Ballester, Oliva, L. S., Duff, A., and Verschure, P. F. M. J., Accelerating motor adaptation by virtual reality based modulation of error memories., Rehabilitation Robotics (ICORR). 2015 IEEE International Conference on, Singapore, pp. 623 - 629, 2015.
B. R. Ballester, Maier, M., Duff, A., San Segundo, R., Castañeda, V., and Verschure, P. F. M. J., Reinforcement-Induced Movement Therapy: A novel approach for overcoming learned non-use in chronic stroke patients., ICVR 2105. International Conference on Virtual Rehabilitation. , vol. Proceedings of the International Conference on Virtual Rehabilitation. . Valencia, Spain, pp. 1-6, 2015. rubio_icvr_1.pdf (5.19 MB)
B. R. Ballester, Nirme, J., Duarte, E., Cuxart, A., Rodriguez, S., Verschure, P. F. M. J., and Duff, A., The visual amplification of goal-oriented movements counteracts acquired non-use in hemiparetic stroke patients., Journal of neuroengineering and rehabilitation, vol. 12, no. 1, 2015.
S. Bamford, Hogri, R., Giovannucci, A., Taub, A. H., Herreros, I., Verschure, P. F. M. J., Mintz, M., and Del Giudice, P., A VLSI field-programmable mixed-signal array to perform neural signal processing and neural modelling in a prosthetic system, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. In Press, 2012. bimford et al aVLSI crblm 2012.pdf (4.74 MB)
S. Bampatzia, Vouloutsi, V., Grechuta, K., Lallée, S., and Verschure, P. F. M. J., Effects of Gaze Synchronization in Human-Robot Interaction, in Biomimetic and Biohybrid Systems, Third International Conference, Living Machines 2014, Milan, Italy, July 30 – August 1, 2014. Proceedings, vol. 8608, A. Duff, Lepora, N. F., Mura, A., Prescott, T. J., and Verschure, P. F. M. J. Springer International Publishing, 2014, pp. 370 - 373.
A. Benucci, Verschure, P. F. M. J., and König, P., Dynamical features of higher-order correlation events: impact on cortical cells, Cognitive Neurodynamics, vol. 1, no. 3, pp. 53-69, 2007.
A. Benucci, Verschure, P. F. M. J., and König, P., Two-State Membrane Potential Fluctuations Driven by Weak Pairwise Correlations, Neural Computation, vol. 16, no. 11, pp. 2351-2378, 2004. 2004_NeuralComp_Two-State.pdf (1.25 MB)
S. Bermúdez i Badia, Bernardet, U., Guanella, A., Pyk, P., and Verschure, P. F. M. J., A Biologically Based chemo-sensing UAV for Humanitarian Demining, International Journal of Advanced Robotic Systems, vol. 4, no. 2, pp. 187-198, 2007.
S. Bermúdez i Badia and Verschure, P. F. M. J., Learning from the Moth: A Comparative Study of Robot-Based Odor Source Localization Strategies, 13th International Symposium on Olfaction and Electronic Nose, vol. 1137. pp. 163-166, 2009.
S. Bermúdez i Badia, Pyk, P., and Verschure, P. F. M. J., A Biologically Inspired Flight Control System for a Blimp-based UAV, in ICRA 2005, Orlando, Florida, 2005, pp. 3053-3059.
S. Bermúdez i Badia and Verschure, P. F. M. J., A Collision Avoidance Model Based on the Lobula Giant Movement Detector (LGMD) Neuron of the Locust, in 2004 International Joint Conference on Neural Networks, Budapest, Hungary, 2004.
S. Bermúdez i Badia, Väljamäe, A., Manzi, F., Bernardet, U., Mura, A., Manzolli, J., and Verschure, P. F. M. J., The Effects of Explicit and Implicit Interaction on User Experiences in a Mixed Reality Installation: The Synthetic Oracle, Presence: Teleoperators & Virtual Environments, vol. 18, no. 4, pp. 277-285, 2009.
S. Bermúdez i Badia and Verschure, P. F. M. J., Humanitarian Demining Using an Insect Based Chemical Unmanned Aerial Vehicle, in Humanitarian Demining, M. K. Habib I-Tech Education and Publishing, 2008, pp. 191–218.
S. Bermúdez i Badia, Bernardet, U., and Verschure, P. F. M. J., Non-Linear Neuronal Responses as an Emergent Property of Afferent Networks: A Case Study of the Locust Lobula Giant Movement Detector, PLoS Computational Biology, vol. 6, no. 3, 2010.
S. Bermúdez i Badia, Pyk, P., and Verschure, P. F. M. J., A fly-locust based neuronal control system applied to an unmanned aerial vehicle: the invertebrate neuronal principles for course stabilization, altitude control and collision avoidance, The International Journal of Robotics Research, vol. 26, no. 7, pp. 759-772, 2007.
S. Bermudez I Badia, Garcia Morgade, A., Samaha, H., and Verschure, P. F. M. J., Using a hybrid Brain Computer Interface and Virtual Reality system to monitor and promote cortical reorganization through motor activity and motor imagery training, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. TNSRE-2012-00036.R2, 2013. 2013_IEEE_Transactions_Neural.pdf (752.12 KB)
U. Bernardet and Verschure, P. F. M. J., iqr: A tool for the construction of multi-level simulations of brain and behaviour, Neuroinformatics, vol. 8, no. 2, pp. 113-134, 2010.
U. Bernardet, Inderbitzin, M. P., Wierenga, S., Väljamäe, A., Mura, A., and Verschure, P. F. M. J., Validating presence by relying on recollection: Human experience and performance in the mixed reality system XIM, The 10th International Workshop on Presence. CLEUP Cooperativa Libraria Universitaria Padova, Padova, Italy, 2008.
U. Bernardet, Väljamäe, A., Inderbitzin, M. P., Wierenga, S., Mura, A., and Verschure, P. F. M. J., Quantifying human subjective experience and social interaction using the eXperience Induction Machine., Brain Research Bulletin, vol. 85, pp. 305-312, 2011.
U. Bernardet, Inderbitzin, M. P., Mansilla, W. A., Mura, A., Väljamäe, A., Wierenga, S., and Verschure, P. F. M. J., The eXperience Induction Machine and its Role in Empirical Research on Presence, in RAVE-08, Barcelona, Spain, 2008.

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