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

Department of Information and

Communication Technologies,

Universitat Pompeu Fabra

C/ Roc Boronat, 138

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. 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. New paper by Manel Vila-Vidal in Clinical Neurophysiology (Abril 2017).

  2. Local organizer of XIV Workshop on Neurobiology of Epilepsy (WONOEP), 2017, 27th August- 1st September, 2017, Mont St Benet, Barcelona, Spain.

  3. Scientific Advisor of start-up MJN neuroserveis (since 2017).

  4. Invited talk at CNS 2017 Workshop on Methods of Information Theory in Computational Neuroscience (Antwerp, Belgium, 19-20 July).

  5. Can’t miss BARCCSYN this year on 15th-16th June!


  1. Theoretical and Computational Neuroscience

  2. I develop quantitative methods on neurophysiological large datasets (‘Big Data’) to investigate brain information processing during cognitive function and disease using a network (global) 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 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 in the context of reward-driven cognitive tasks in monkeys [1] to unravel the mechanisms of neural coding and communication at a single-cell level.

  3. Epilepsy (intracranial EEG, human)

  4. I study of the emergence and maintenance of the pre-ictal state (the brain state prior to epileptic seizures) by means of analysis of long-lasting periods (~12 hours) of intracranial  data from epileptic patients with dynamic functional connectivity methods [2]. Together with a student, we have also developed quantitative tools to improve seizure focus localization for pre-surgical diagnosis [3].

  5. Computational models and methods

  6. Together with colleagues, I have developed non-parametric statistical methods for non-linear [1] and linear [4] models for the detection of functional connectivity pathways in multi-area intracranial recordings.

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

  2. [2] Degenerate time-dependent network dynamics anticipate epileptic seizures in human epileptic brain”, 2017. A. Tauste Campo, A. Principe, M. Ley, R. Rocamora and G. Deco, under review, Bioarxiv.

  3. [3] 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*. To appear in Clinical Neurophysiology, 2017.

  4. [4] 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, under review, Bioarxiv.

  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.


  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. Jordi Soriano (Universitat de Barcelona, 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)