Adrià Tauste Campo

Research Associate

Computational and Clinical Neuroscience

Hospital del Mar Medical Research Institute (IMIM)

Barcelona Biomedical Research Park (PRBB)

C/ Doctor Aiguader, 88

08003 Barcelona

Office: 233

Phone: +34 933162345

Computational Neuroscience group @

Centre for Brain and Cognition

Universitat Pompeu Fabra

C/Ramon Trias Fargas, 25-27.

Office 512.

08018 Barcelona


Bio sketch

Since beginning of 2016, I am a Research Associate in Computational and Clinical Neuroscience at the Epilepsy group, Hospital del Mar Medical Research Institute (IMIM), and affiliated at the Centre of Brain and Cognition at Universitat Pompeu Fabra ( UPF), Barcelona. I am also an Adjunct Lecturer at the UPF, Barcelona.

2013-2015                        Marie-Curie Postdoctoral Fellow, UPF, Barcelona

2011-2012                        Research Associate at the University of Cambridge, UK

2008-2011                        Ph.D. in Engineering from the University of Cambridge, UK

2008-2009                        M.Sc. in Electrical Engineering, Stanford University, CA

2000-2006                        Telecommunications Degree from UPC, Barcelona

2000-2005                        Mathematics Degree from UPC, Barcelona


  1. September 2017: Co-organizer of 1st Symposium of SINC2 (Society for the Interaction of Computational and Cognitive Neuroscience), 27th September, 2017, Alicante, Spain.

  2. August 2017: Local organizer of XIV Workshop on Neurobiology of Epilepsy (WONOEP), 28th August- 1st September, 2017, Mont St Benet, Barcelona.

  3. May 2017: New methods paper on non-parametric MVAR estimation for recurrent networks with Matthieu Gilson in Network Neuroscience journal.

  4. May 2017: Dissemination talk “Exploring the brain with mathematics” (Catalan) at public high school IES Numancia, Santa Coloma de Gramanet.

  5. Abril 2017: New paper by Manel Vila-Vidal on a patient-specific algorithm for seizure focus identification in Clinical Neurophysiology journal. Selected to be the cover of June’s issue. Also in Spain’s press (Spanish).

  6. February 2017: Scientific Advisor of the start-up MJN neuroserveis.

Upcoming events & talks

  1. 27/8-1/9/2017: Contributed talk at XIV Workshop on Neurobiology of Epilepsy (WONOEP), 28th August- 1st September, 2017, Mont St. Benet, Barcelona.

  2. 2-6/9/2017: 7 poster presentations from the Epilepsy Group @ 32nd INTERNATIONAL EPILEPSY CONGRESS, which is held this year in Barcelona!


  1. Theoretical and Computational Neuroscience

  2. I develop quantitative methods on neurophysiological large datasets (‘Big Neural Data’) to investigate brain information processing during cognitive function and disease using a network perspective. In particular, I am interested in the mechanisms by which stimuli, behavioral responses, and pathological states are encoded and spread across the simultaneous activity of multiple brain areas. For my investigations, I mainly analyze single-cell (simultaneous spike trains) and neural population (human intracranial EEG) data.

  1. Neural coding and information transmission (spike trains, monkey)

  2. I am interested in the neural coding problem and in particularly, in relating this problem to that of information transmission. I have mainly studied both problems in the context of reward-driven cognitive tasks in monkeys [1,2] to unravel the mechanisms of neural coding and thalamo-cortical communication at a single-cell level.

  3. Epilepsy (intracranial EEG, human)

  4. I study the emergence and maintenance of the pre-ictal state (the brain state prior to epileptic seizures) by means of dynamic functional connectivity analysis of long-lasting periods (~12 hours) of intracranial data from epileptic patients [3]. I am also interested in  spatially localizing the main brain area where seizure activity begins. With this regard, we have recently developed quantitative tools to improve seizure focus localization for pre-surgical diagnosis [4].

  5. Computational models and methods

  6. Together with colleagues, I have developed non-parametric statistical methods for non-linear [1] and linear models [5] for the detection of functional connectivity pathways in multi-area intracranial recordings.

  1. [1] Task-driven intra- and interarea communications in primate cerebral cortex”. A. Tauste Campo, M. Martinez-Garcia, V. Nácher, R. Luna, R. Romo and G. Deco. PNAS 112(15): 4761-6. 2015.

  2. [2] “Thalamo-cortical interactions during tactile detection”. A. Tauste Campo, Y. Vázquez, R, G. Deco, R. Romo. To be submitted, August 2017

  3. [3] Degenerate time-dependent network dynamics anticipate epileptic seizures in human epileptic brain”, A. Tauste Campo, A. Principe, M. Ley, R. Rocamora and G. Deco. Under review, August 2017.

  4. [4] Detection of recurrent activation patterns across focal seizures: Application to seizure onset zone identification”. M. Vila-Vidal, A. Principe, M. Ley, G. Deco, A. Tauste Campo* and R. Rocamora*. Clinical Neurophysiology, vol. 128, 977-85, 2017.

  5. [5] Non-parametric test for connectivity detection in multivariate autoregressive networks and application to multiunit activity data”, 2017. M. Gilson*, A. Tauste Campo*, X. Chen, A. Thiele, G. Deco, Network Neuroscience, 2017.

  1. Information Theory

  2. I am interested in the fundamental limits of information transmission when the number of  transmission symbols is finite. Within this topic, I have done research in the mathematical derivation of tight error exponents for joint source-channel coding [1] and converse bounds based on hypothesis testing [2]. I have also worked in other information-theoretic topics such as multiuser detection [3] and network coding.

  1. [1]“A derivation of the source-channel error exponent using nonidentical product distributions”, 2014. A. Tauste Campo, G. Vazquez-Vilar, A. Guillén i Fàbregas, T. Koch, A. Martinez.

  2. IEEE Trans. Inf. Theory, 60(6): 3209-3217.

  3. [2] Bayesian M-ary hypothesis testing: The meta-converse and Verdú-Han bounds are tight”, 2016. G. Vazquez-Vilar, A. Tauste Campo, A. Guillén i Fàbregas and A. Martinez,

  4. IEEE Trans. Inf. Theory, 62(5): 2324 - 2333.

  5. [3] “Large-system analysis of multiuser detection with an unknown number of users: A high SNR approach”, 2011 .A. Tauste Campo, A. Guillén i Fàbregas and E. Biglieri. IEEE Trans. Inf. Theory,  57(6): 3416-3428.

Main Col.laborators

  1. Mathieu Gilson (Universitat Pompeu Fabra, Barcelona)

  2. Yuriria Vázquez  (Rockefeller University, NY, US)

  3. Ranulfo Romo (Universidad Nacional Autónoma de México, México)

  4. Vicky Puig (Hospital del Mar Medical Research Institute, Barcelona)

  5. Thomas Gener (Hospital del Mar Medical Research Institute, Barcelona)

  6. Ruggero Bettinardi (Centre for Genomic Regulation, Barcelona)

  7. Mara Dierssen (Centre for Genomic Regulation, Barcelona)

Supervised students

  1. Manel Vila-Vidal (Mathematics and Physics, UB, 2016-17)

  2. Jorge Zelaya (Master in Biomedical Engineering, UPF, 2016-18)

  3. David Capilla (Mathematics and Physics degree, UB, 2016-17)

  4. Pau de Jorge (Mathematics and Physics degree,UB, 2015-16)

  5. Àlex Triay (Biomedical Engineering degree, UPF, 2015-16)