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Author Title Type [ Year(Asc)]
2017
R. Zucca, Arakaki, X., Low, S. C., Goldweber, R. T., Harrington, M. G., and Verschure, P. F. M. J., Altered dynamics of the thalamo-cortical system following mild traumatic brain injury: a combined experimental and theoretical study.​ , ​47th ​Annual Meeting of the Society for Neuroscience, vol. (in press). 2017.
D. Pacheco, Zucca, R., Arsiwalla, X. D., Dalmazzo, D., Principe, A., Rocamora, R., Conesa, G., and Verschure, P., BrainX3: A Virtual Reality Tool for Neurosurgical Intervention in Epilepsy, International Journal of Computer Assisted Radiology and Surgery (Int J CARS) , vol. 12, no. Suppl 1, p. S113, 2017. carspaper.pdf (151.45 KB)
M. Maier, N. Bañuelos, L., B. Ballester, R., Duarte, E., and Verschure, P. F. M. J., Conjunctive Rehabilitation of Multiple Cognitive Domains for Chronic Stroke Patients in Virtual Reality., 15th International Conference of Rehabilitation Robotics ( ICORR), London, vol. (in press). 2017.
K. Grechuta, Ballester, B. R., T. Bernal, U., B. Hervás, M., San Segundo, R., and Verschure, P. F. M. J., The Effects of Silent Visuomotor Cueing on Word Retrieval in Broca’s Aphasics: A Pilot Study., 15th International Conference on Rehabilitation Robotics (ICORR), London, UK, vol. (in press). 2017.
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.
X. D. Arsiwalla and Verschure, P., The Global Dynamical Complexity of the Human Brain Network, Applied Network Science, vol. (in press), 2017.
S. Marwecki, Ballester, R. B., Duarte, E., and Verschure, P. F. M. J., Goal-oriented feedback on motor behavior in virtual reality based stroke therapy: A case study using the rehabilitation gaming system. , Edorium J Disabil Rehabil , vol. 3, pp. 36–45., 2017.
J. Y. Puigbò, Gonzalez-Ballester, M. A., and Verschure, P. F. M. J., Learning Relevant Features through a Two-Phase Model of Conditioning., Journal of Research and Development, Special issue on Computational Neuroscience., vol. (in press), 2017.
X. D. Arsiwalla, Moulin-Frier, C., Herreros, I., Sánchez-Fibla, M., and Verschure, P. F. M. J., The Morphospace of Consciousness , in press, 2017. bblm16.pdf (2.31 MB)
P. F. M. J. Verschure, Zucca, R., Pacheco, D., Santos-Pata, D., Maffei, G., Puigbó, J. - Y., Arsiwalla, X. D., Principe, A., Conesa, G., and Rocamora, R., The neural code of the human brain as revealed by the analysis of intracranial recordings across a range of perceptual and cognitive tasks, Society for Neuroscience., vol. 47th Annual Meeting . Washington DC, US, 2017.
C. S. Low, Zucca, R., and Verschure, P. F. M. J., The role of inhibition in selective attention-, ICANN, vol. The 26th International Conference on Artificial Neural Networks. 2017.
D. Santos-Pata, Zucca, R., S. Low, C., and Verschure, P. F. M. J., Size matters: how scaling affects the interaction between grid and border cells. , Front. Comput. Neurosci. , 2017.
X. D. Arsiwalla, Mediano, P. A., and Verschure, P. F. M. J., Spectral Modes of Network Dynamics Reveal Increased Informational Complexity Near Criticality. , Procedia Computer Science, vol. 108, pp. 119-128, 2017.
V. Vouloutsi, Blancas, M., Zucca, R., and Verschure, P. F. M. J., Studying the adaptation of robot’s strategies in an educational task. , in 3rd Workshop on CRI: Designing and Evaluating Child-from a Developmental Perspective. HRI 2017, 1(3) https://childrobotinteraction.org/home/, 2017.
R. Zucca, Arakaki, A., Goldweber, R., Harrington, M. G., and Verschure, P. F. M. J., Thalamocortical dysrhythmya after mild traumatic brain injury: a working hypothesis. , 12th World Congress on Brain Injury. IBIA 2017 , vol. Abstract nr: 450. 2017.
K. Grechuta, Guga, J., Maffei, G., B. Ballester, R., and Verschure, P. F. M. J., Visuotactile integration modulates motor performance in a perceptual decision-making task., Scientific Reports, vol. 7, no. 3333, 2017.
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.
M. Blancas, Vouloutsi, V., Zucca, R., and Verschure, P. F. M. J., Considering students’ confidence when building a synthetic tutoring system, in New Friends , 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.

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