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Author Title Type [ Year(Asc)]
2016
A. Betella and Verschure, P. F. M. J., The Affective Slider: A Digital Self-Assessment Scale for the Measurement of Human Emotions, PLoS ONE, vol. 11, p. e0148037, 2016. betella_affective_slider_2016.pdf (1.7 MB)
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.
R. Zucca, Rasmussen, A., and Bengtsson, F., Climbing Fiber Regulation of Spontaneous Purkinje Cell Activity and Cerebellum-Dependent Blink Responses, eneuro, vol. 3, p. ENEURO–0067, 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, 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)
D. Caligiore, Pezzulo, G., Baldassarre, G., Bostan, A. C., Strick, P. L., Doya, K., Helmich, R. C., Dirkx, M., Houk, J., Jörntell, H., Lago-Rodriguez, A., Galea, J. M., R Miall, C., Popa, T., Kishore, A., Verschure, P. F. M. J., Zucca, R., and Herreros, I., Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex., Cerebellum, 2016.
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.
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.
R. Malekshahi, Seth, A., Papanikolaou, A., Mathews, Z., Birbaumer, N., Verschure, P. F. M. J., and Caria, A., Differential neural mechanisms for early and late prediction error detection., Scientific Reports, vol. 6, 2016.
R. Hindriks, Arsiwalla, X. D., Panagiotaropoulos, T., Besserve, M., Verschure, P., Logothetis, N., and Deco, G., Discrepancies between Multi-Electrode LFP and CSD Phase-Patterns: A Forward Modeling Study, Frontiers in Neural Circuits, vol. 10, 2016.
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.
D. Reidsma, Charisi, V., Davison, D., Wijnen, F., van der Meij, J., Evers, V., Cameron, D., Fernando, S., Moore, R., Prescott, T., Mazzei, D., Pieroni, M., Cominelli, L., Garofalo, R., De Rossi, D., Vouloutsi, V., Zucca, R., Grechuta, K., Blancas, M., and Verschure, P., The EASEL Project: Towards Educational Human-Robot Symbiotic Interaction, in Living Machines. Conference on Biomimetic and Biohybrid Systems, 2016.
X. D. Arsiwalla and Verschure, P., Formalizing Information Complexity for Dynamical Networks, Conference on Complex Systems (CCS 2016). Complex Systems Society, 2016.
I. Herreros, Arsiwalla, X. D., and Verschure, P., A forward model at Purkinje cell synapses facilitates cerebellar anticipatory motor control, in NIPS 2016, 2016.
X. D. Arsiwalla and Verschure, P., High Integrated Information in Complex Networks Near Criticality, in 25th International Conference on Artificial Neural Networks (ICANN), 2016.
J. B. van Wijngaarden, Zucca, R., Finnigan, S., and Verschure, P. F. M. J., The Impact of Cortical Lesions on Thalamo-Cortical Network Dynamics after Acute Ischaemic Stroke: A Combined Experimental and Theoretical Study. , PLOS Comput Biol, vol. 12, no. 8, 2016.
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.
G. Zegarek, Arsiwalla, X. D., Dalmazzo, D., and Verschure, P., Mapping the Language Connectome in Healthy Subjects and Brain Tumor Patients, in 25th International Conference on Artificial Neural Networks (ICANN), 2016.
S. C. Low, van Wijngaarden, J. B., and Verschure, P. F. M. J., Modelling the Effect of Cognitive Load on Eye Saccades and Reportability: The Validation Gate. In Conference on Biomimetic and Biohybrid Systems (pp. 459-466). , Living Machines Conference on Biomimetic and Biohybrid Systems. . pp. 459-466, 2016.
M. Blancas, Zucca, R., Vouloutsi, V., and Verschure, P. F. M. J., Modulating Learning Through Expectation in a Simulated Robotic Setup, Living Machines, vol. Biomimetic and Biohybrid Systems. pp. 400-408, 2016.
D. Santos-Pata, Zucca, R., and Verschure, P. F. M. J., Navigate the Unknown: Implications of Grid-Cells “Mental Travel” in Vicarious Trial and Error, in Conference on Biomimetic and Biohybrid Systems, 2016.
R. Zucca, Arsiwalla, X. D., Le, H., Rubinov, M., and Verschure, P. F. M. J., Scaling Properties of Human Brain Functional Networks, in International Conference on Artificial Neural Networks, Barcelona, Spain, 2016.
J. Y. Puigbò, van Wijngaarden, J., Low, S. C., and Verschure, P. F. M. J., Synaptogenesis: Constraining Synaptic Plasticity Based on a Distance Rule, 25th International Conference on Artificial Neural Networks (ICANN), vol. Volume 9886 . Springer International Publishing., Barcelona, Spain, pp. pp. 28-35, 2016.
P. F. M. J. Verschure, Synthetic consciousness: the distributed adaptive control perspective, Philosophical Transactions of the Royal Society B. Biological Sciences, vol. 371, no. 1701, 2016.
X. D. Arsiwalla, Herreros, I., and Verschure, P., On Three Categories of Conscious Machines, in Living Machines 2016, Biomimetic and Biohybrid Systems, 2016.
C. Moulin-Frier, Arsiwalla, X. D., Puigbò, J. - Y., Sánchez-Fibla, M., Duff, A., and Verschure, P. F. M. J., Top-Down and Bottom-Up Interactions between Low-Level Reactive Control and Symbolic Rule Learning in Embodied Agents, in Cognitive Computation Workshop, NIPS 2016, 2016.
V. Vouloutsi, Blancas, M., Zucca, R., Omedas, P., Verschure, P. F. M. J., and and, 11more., Towards a Synthetic Tutor Assistant: The EASEL Project and its Architecture, Living Machines, vol. Biomimetic and Biohybrid Systems. LNAI 9793, Springer, Edinburgh, UK, pp. pp 353-364, 2016.
Y. J. Puigbò, Moulin-Frier, C., and Verschure, P. F. M. J., Towards Self-controlled Robots Through Distributed Adaptive Control, Living Machines. Conference on Biomimetic and Biohybrid Systems, vol. Volume 9793. pp. pp 490-497, 2016.
C. Moulin-Frier and Verschure, P. F. M. J., Two possible driving forces supporting the evolution of animal communication: Comment on “Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain” by Michael A. Arbib, Physics of Life Reviews, vol. 16, pp. 88-90, 2016.
2015
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.
X. D. Arsiwalla and Verschure, P. F. M. J., Analytic Solutions for Network Information Complexity, NetSci 2015. Network Science Society, 2015.
P. Papachristodoulou, Betella, A., Manzolli, J., and Verschure, P. F. M. J., Augmenting the navigation of complex data sets using sonification: a case study with BrainX3, in Virtual Reality (VR), 2015 iEEE, 2015.
C. Moulin-Frier, Sánchez-Fibla, M., and Verschure, P. F. M. J., Autonomous development of turn-taking behaviors in agent populations: a computational study, 5th International Conference on Development and Learning and on Epigenetic Robotics. Providence, RI USA, 2015. moulin-frier_et_al._2015.pdf (1.66 MB)
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.
G. Maffei, Santos-Pata, D., Marcos, E., Sánchez-Fibla, M., and Verschure, P. F. M. J., An embodied biologically constrained model of foraging: From classical and operant conditioning to adaptive real-world behavior in DAC-X, Neural Networks, vol. 72, 2015.
S. Lallee and Verschure, P. F. M. J., How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent, Robotics, vol. 4, no. 2, pp. 169-193, 2015.
D. Pacheco, Wierenga, S., Omedas, P., Wilbricht, S., Knoch, H., and Verschure, P. F. M. J., A Location- Based Augmented Reality System for the Spatial Interaction with Historical Datasets., in Digital Heritage International Congress , Granada, Spain, 2015.
G. Zegarek, Dalmazzo, D., Brandi, S., Grechuta, K., Arsiwalla, X. D., and Verschure, P. F. M. J., Mapping the Aphasia Connectome: Connectomic Predictions of TMS-Defined Eloquent Cortex, in Fourth DCEXS Symposium, Barcelona, 2015.
G. Zegarek, Dalmazzo, D., Brandi, S., Grechuta, K., Arsiwalla, X. D., and Verschure, P. F. M. J., Mapping the Aphasia Connectome with BrainX3: Connectomic Predictions of TMS-Defined Eloquent Cortex., in Neuroscience R&D Technologies Conference. Barcelona, 2015.
E. Marcos, Cos, I., Girard, B., and Verschure, P. F. M. J., Motor Cost Influences Perceptual Decisions, PLoS ONE, vol. 10, no. 2, 2015.
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, 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.
V. Vouloutsi, Munoz, M. Blancas, Grechuta, K., Lallee, S., Duff, A., Puigbo, J. Ysard Llob, and Verschure, P. F. M. J., A new biomimetic approach towards educational robotics: the Distributed Adaptive Control of a Synthetic Tutor Assistant, 4th International Symposium on New Frontiers in human-Robot Interaction. 2015.
A. Rasmussen, Zucca, R., Johansson, F., Jirenhed, D. A., and Hesslow, G., Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla Wagner model, PNAS, vol. 112, no. 45, pp. 14060–14065, 2015.
Y. J. Puigbò, Vouloutsi, V., Moulin-­Frier, C., and Verschure, P. F. M. J., Reactive and adaptive control loops for social learning in human­-robot interaction., International Conference on Development and Learning, ICDL/Epirob, Providence (RI), USA., vol. Workshop "Mechanisms of learning in social contexts" http://blogs.cornell.edu/icdl2015workshop/posters/poster-abstracts/. Providence, RI USA, 2015. puigbo2015icdlsocialworkshop.pdf (2.92 MB)
L. Serra, Mura, A., Betella, A., Martinez, E., and Verschure, P. F. M. J., Recovering the History of Bergen Belsen Using an Interactive 3D Reconstruction in a Mixed Reality Space: The Role of Pre-knowledge on Memory Recollection., Digital Heritage. 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)

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