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Riccardo Zucca

POST-DOC
La Nau building - 51.100
riccardo.zucca[at]upf.edu

Riccardo Zucca (Trieste - Italy, 1973) joined SPECS in January 2008.

PhD in Information and Communication Techcnology from Universitat Pompeu Fabra, Barcelona, Spain (2015). Thesis director Prof. P. Verschure.

MSc in Cognitive Systems and Interactive Media from Universitat Pompeu Fabra, Barcelona, Spain (2008). Thesis supervisor: Dr A. Giovannucci

MSc in Psychology from Università degli Studi di Trieste, Italy (2001)

Positions:

Current: Postdoctoral researcher, SPECS, Department of Technology, UPF under the supervision of prof. P. Verschure

2011-2014: Master Support  CSIM, DTIC, UPF

Oct 09 - Jun 11: Visiting researcher, Associative Learning Group (PI: prof. G. Hesslow) at Lund University (Sweden)

2001-2007: Employed in the publishing industry

Teaching:

AA. 2015-16 (CSIM: Interdisciplinary Master in Cognitive Systems and Interactive Media)

Adaptive Behavior

Cognitive Systems: theory and models

Advanced Concepts and Methods in Cognitive Systems

AA. 2014-15 (CSIM: Interdisciplinary Master in Cognitive Systems and Interactive Media)

Adaptive Behavior

Cognitive Systems: theory and models

Projects:

DMW: The psychophysiology of decision making in the wild (starting 07/2016)

EASEL (07/2015 - current)

CEEDs (09/2011-02/2015)

Research interests:

Adaptive behavior. Cerebellar mechanisms of acquisition and encoding of timely adaptive responses in the context of Pavlovian classical conditioning. Computational and organizational principles of whole-brain networks. My research is conducted employing both computational modelling and electrophysiology. 

 

Publications:

2016

Zucca R., Arsiwalla XD, Le H, Rubinov M, Verschure P. (2016). Scaling properties of human brain functional networks. ICANN 2016. 

van Wijngaarden J, Zucca R, Finnigan S, Verschure P. (2016). The Impact of Cortical Lesions on Thalamo-Cortical Network Dynamics After Acute Ischaemic Stroke: A Combined Experimental and Theoretical Study. Submitted

Vouloutsi V, Blancas M, Zucca R, et al. (2016). Towards a synthetic tutor assistant: the EASEL project and its architecture. LM 2016. 

Santos-Pata D, Zucca R, Verschure P. (2016). Navigate the unknown: implications of grid-cells “mental travel” in vicarious trial and error. LM 2016.

Reidsma D, et al., The EASEL Project: Towards Educational Human-Robot Symbiotic Interaction. LM 2016

Caligiore D, et al. (2016). Consensus paper: Towards a systems-level view of cerebellar function: the interplay between cerebellum, basal ganglia, and cortex, Cerebellum, 2016:1-27, 10.1007/s12311-016-0763-3

Zucca R*, Rasmussen A*, Bengtsson F. (2016). Climbing fiber regulation of spontaneous Purkinje cell activity and cerebellum dependent blink responses. eNeuro. 3 (1) DOI: 10.1523/ENEURO.0067-15.2015

2015

Rasmussen A, Zucca R, Johansson F, Jirenhed DA, Hesslow G. (2015). Purkinje cell activity during classical conditioning with different conditional stimuli explains central tenet of Rescorla Wagner modelProceedings of the National Academy of Sciences (PNAS), doi:10.1073/pnas.1516986112

Cetnarski R, Betella A, Miotto A, Zucca R, Arsiwalla XD, Omedas P, Freeman J, Verschure P (2015). Symbiotic Adaptive Interfaces: A Case Study Using BrainX3. in B. Blankertz et al. (Eds.): Symbiotic 2015, LNCS 9359, pp. 1–12. doi:10.1007/978-3-319-24917-9 4

Arsiwalla XD*, Zucca R*, Betella A*, Martinez E, Dalmazzo D, Omedas P, Deco G and Verschure PF (2015). Network Dynamics with BrainX3: A Large-Scale Simulation of the Human Brain Network with Real-Time InteractionFront. Neuroinform. 9:2. doi: 10.3389/fninf.2015.00002

Arsiwalla XD, Dalmazzo D, Zucca R, Betella A, Brandi S, Martinez E, … Verschure PF (2015). Connectomics to Semantomics : Addressing the Brain’s Big Data Challenge. In Procedia - Procedia Computer Science (Vol. 53, pp. 48–55). Elsevier Masson SAS. doi:10.1016/j.procs.2015.07.278

2014

Johansson F, Jirenhed D-A, Rasmussen A, Zucca R and Hesslow G. (2014). Memory trace and timing mechanism localized to cerebellar Purkinje cells. Proceedings of the National Academy of Sciences (PNAS), doi:10.1073/pnas.1415371111.

Betella A* and Zucca R*, Cetnarski R, Greco A, Lanatà A, Mazzei D, Tognetti A, Arsiwalla X D, Omedas P, De Rossi D and Verschure P F M J. (2014). Inference of human affective states from psychophysiological measurements extracted under ecologically valid conditions. Frontiers in Neuroscience, 8:286.

Duff A, Marcos E, Zucca R, DAC Tutorial on foraging. (2014) in Verschure P F M J, Prescott, T, et al. (eds.) DAC-Distributed Adaptive Control: Theory and Practice. CSN Book Series.

Zucca, R, Arsiwalla X D, Betella A, Martinez E, Omedas P, and Verschure P F M J. (2014). BrainX3: Uncovering causal pathways in the cortex through dynamical perturbations of the human connectome using an immersive virtual reality environment. FENS 2014, Milan, Italy. Abstract.

Arsiwalla X D, Zucca, R, Betella A, Martinez E, Omedas P, and Verschure P F M J. (2014). BrainX3: A real-time dynamic and interactive virtual reality reconstruction of the human brain connectome. OHBM 2014, Hamburg, Germany. Abstract.

Betella A, Pacheco D, Zucca R, Arsiwalla X D, Omedas P, Lanatà A, et al. (2014). Interpreting psychophysiological states using unobtrusive wearable sensors in virtual reality. ACHI2014: The Seventh International Conference on Advances in Computer-Human Interactions, p:331-336.

Betella A, Cetnarski R, Zucca R, Arsiwalla X D, Martinez E, Omedas P, Mura A, Verschure P F M J. (2014). BrainX3: embodied exploration of neural data, in Proceedings of the Virtual Reality International Conference -- VRIC '14, April 09 - 11 2014, Laval (France)

Omedas, P., Betella, A., Zucca, R., Arsiwalla, X. D., Pacheco, D., Wagner, J., ... & Verschure, P. F. (2014). XIM-Engine: a software framework to support the development of interactive applications that uses conscious and unconscious reactions in immersive mixed reality. In Proceedings of the 2014 Virtual Reality International Conference VRIC '14, April 09 - 11 2014, Laval (France), p. 26, ACM.

2013

Zucca R, Arsiwalla X D, Zucca R, Betella A, Martinez E, Omedas P, and Verschure P F M J. (2013). Tracing neural circuits by dynamically simulating whole-brain activity patterns in the human connectome. Frontiers in Neuroinformatics, 97.

Zucca R*, Arsiwalla X D*, Betella A*, Martinez E, Omedas P, and Verschure P F M J (2013). 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, Rekdalsbakken W, Bye R T and Zhang H (eds.), doi: 107148/2013-0865-0869

Zucca R, and Verschure P F M J. (2013). Prefrontal cortical modulation of information flow in a large-scale model of the cortico-thalamic circuit. BMC Neuroscience, 14(1).

Rasmussen A, Jirenhed D-A, Zucca R, Johansson F, Svensson P and Hesslow G. (2013). Number of spikes in climbing fibers determines the direction of cerebellar learning. The Journal of Neuroscience, 33(33), 13436-13440.

Rasmussen A, Zucca R, Jirenhed D-A, Johansson F, Ortenblad C, Svensson P and Hesslow G. (2013). Golgi cell activity during eyeblink conditioning in decerebrate ferrets. The Cerebellum, 13(1), 42-45.

Le H, Arsiwalla X D, Zucca R, and Verschure P F M J. (2013). Topology of brain functional networks. European Conference on Complex Systems (ECCS '13), Barcelona, Spain. Abstract.

Betella, A, Martinez E, Zucca R, Arsiwalla X D, Omedas P, Wierenga S, et al. (2013). Advanced interfaces to stem the data deluge in mixed reality: placing human (un) consciousness in the loop. ACM SIGGRAPH 2013. 68:1-68:1. Abstract

Wagner J, Mazzei, D, Betella A, Zucca R, Omedas, P, Andrè E, De Rossi D, and Verschure P F M J. (2013). A sensing architecture for empathetic data systems. In AH13 Proceedings of the 4th Augmented Human International Conference, ACM, 96-99

Arsiwalla, X., Betella A., Martinez E., Omedas P., Zucca R., & Verschure P. F. M. J. (2013). What a Dynamical Connectome Informs Us About Large-Scale Neural Circuits and Whole-Brain Activity. IJCNN2013 (International Joint Conference on Neural Networks). Nr. 1366

2012

Zucca R, and Verschure P F M J. (2012). Cerebellar memory transfer and partial savings during motor learning: a robotic study. Prescott, T, Lepora, N, Mura A, Verschure, P, Ed. Biomimetic and Biohybrid Systems, 7375, 321-332.

Zucca, R., and Verschure P. F. M. J. (2012). A cortico-thalamic model of consciousness bias. 16th Meeting of the Association for the Scientific Studies of Consciousness (ASSC), Brighton (UK). Abstract.

Rasmussen, A., Zucca R., Jirenhed D. A., Johansson F., Ortenblad C., Svensson P., et al. (2012). Effects of the conditional stimulus on Golgi cell activity during classical conditioning of the eye-blink response in the decerebrate ferret. Program No. 477.29. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience, 2012. Online.

Zucca, R., Rasmussen A.,Johansson F., Verschure P. F. M. J., & Hesslow G. (2012). Suppression of conditioned eye-blink responses through high frequency climbing fibres stimulation. FENS 2012, Barcelona, Spain

2011

Johansson, F., Jirenhed D. A., Rasmussen A., Zucca R., & Hesslow G. (2011). In vivo parallel fibre stimulation as conditional stimulus in Pavlovian conditioning of Purkinje neuron responses. <41st Society for Neuroscience, 2011> Washington DC, USA

2010

Zucca R, Rasmussen A, Herreros-Alonso I, Verschure P F M J , and Hesslow G. (2010). A closed-loop framework to investigate cerebellar learning in a decerebrate ferret preparation. In Society for Neuroscience. 40th Annual Meeting pp. 786-11.

2009

Herreros-Alonso I, Zucca R, Giovannucci A and FMJ Verschure P (2009). The interaction of Purkinje cell and Inhibitory Interneuron plasticity during classical conditioning. Front. Syst. Neurosci. Conference Abstract: Computational and systems neuroscience 2009. doi: 10.3389/conf.neuro.06.2009.03.190

Giovannucci A, Herreros-Alonso I, Zucca R, Mintz M and Verschure PF (2009). Quantitative analysis of the learning dynamics of a two-phase neural model of classical conditioning. Front. Syst. Neurosci. Conference Abstract: Computational and systems neuroscience 2009. doi: 10.3389/conf.neuro.06.2009.03.206

2008

Herreros, I., Giovannucci A., Zucca R., Verschure P. F. M. J., & Mintz M. (2008). A robot based simulation of the two phase theory of conditioning. NIN conference: Perceptual Learning, Motor Learning, Automaticity, Amsterdam.

Zucca, R., Giovannucci A., Herreros I., & Verschure P. F. M. J. (2008). Long term memory trace acquisition and savings in the cerebellum:a modeling study. NIN conference: Perceptual Learning, Motor Learning, Automaticity, Amsterdam.