Adrià Tauste Campo

Researcher

Computational and Clinical Neuroscience

BarcelonaBeta Brain Research Center

C/Wellington, 30

08005 Barcelona


Universitat Pompeu Fabra

Centre for Brain and Cognition

C/Ramon Trias Fargas, 25-27

Office 512

08018 Barcelona


E-mails: adria.tauste@upf.edu, atauste@barcelonabeta.org

News

  1. May 2018: Pre-print version of our manuscript with Romo lab in BioRxiv: “Single-neuron interactions between the somatosensory thalamo-cortical circuits during perception”.

  2. April 2018: Our paper “Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain” has been published in PLoS Biology. Media coverage in Spanish newspaper La Vanguardia.

  3. 2nd-6th July 2018: one-week summer course Introduction to analysis of neural data and brain connectivity at Universitat Politècnica de Barcelona (XII Summer School UPC-UB edition).

  4. 23rd May 2018: one-day workshop about Brain connectivity analysis from neural data, Ciutadella Campus, UPF.


Bio sketch


Since January 2018, I am a Researcher within the “Neural mechanisms of memory” group at Barcelona beta brain Research centre (BBRC) under the direction of Rodrigo Quian Quiroga. I am also affiliated with the Centre of Brain and Cognition at Universitat Pompeu Fabra (UPF), Barcelona and Teaching faculty member of the Computational Biomedical Engineering Master at UPF.



2016-2017                 Research Associate, Hospital del Mar Medical Research Institute, Barcelona

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

2011-2012                 EPSRC Postdoctoral fellow 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, US

2000-2006                 Telecommunications Degree from UPC, Barcelona

2000-2005                 Mathematics Degree from UPC, Barcelona



Research

  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 transmitted through the simultaneous activity of multiple brain areas. For my investigations, I mainly analyze single-cell (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. I have contributed to develop 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] Single-neuron interactions between the somatosensory thalamo-cortical circuits during perception”. A. Tauste Campo, Y. Vázquez, M. Àlvarez, A. Zainos, R. Rossi-Pool, G. Deco, R Romo. Under review, April 2018.

  3. [3] Degenerate time-dependent network dynamics anticipate seizures in human epileptic brain”, A. Tauste Campo, A. Principe, M. Ley, R. Rocamora and G. Deco. PLoS Biology, 6(4): e2002580, April 2018.

  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, 128:977-85, 2017.

  5. [5] Non-parametric test for connectivity detection in multivariate autoregressive networks and application to multiunit activity data”, M. Gilson*, A. Tauste Campo*, X. Chen, A. Thiele, G. Deco, Network Neuroscience, 1(4): 357-80, 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”, A. Tauste Campo, G. Vazquez-Vilar, A. Guillén i Fàbregas, T. Koch, A. Martinez. IEEE Trans. Inf. Theory, 60(6): 3209-3217, 2014.

  2. [2] Bayesian M-ary hypothesis testing: The meta-converse and Verdú-Han bounds are tight”, G. Vazquez-Vilar, A. Tauste Campo, A. Guillén i Fàbregas and A. Martinez, IEEE Trans. Inf. Theory, 62(5): 2324 - 2333, 2016

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


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 (PhD in Biomedicine, UPF, 2017-2020)

  2. Jorge Zelaya (Computational Biomedical Engineering Master, UPF): “Spatiotemporal effects of intracranial electrical stimulation into brain areas of epileptic patients”, July 2019

  3. Arnau Manasanch (Biomedical Engineering degree, UPF): “Design of a medical integrative platform for seizure-onset zone identification in epileptic patients”, July 2018.

  4. David Capilla (Double Mathematics and Physics degree, UB): “Influence of stimulus neural coding into decision-making performance: A data-analysis study”, February 2017.

  5. Àlex Triay (Biomedical Engineering degree, UPF): “Intracranial EEG analysis during spatial memory tasks: the role of high frequency oscillations”, July 2017.

  6. Pau de Jorge (Double Mathematics and Physics degree, UB): “Mutual Information: An Unbiased Quantification of Single Neuron Coding”, June 2017.


Media

  1. Press (La Vanguardia 2018, La Vanguardia 2017, Investigación y Ciencia).

  2. TV (Deuwatts, BTV)