Gustavo Deco

Universitat Pompeu Fabra (UPF)

Engineering Sciences

Gustavo Deco is Research Professor at the Institució Catalana de Recerca i Estudis Avançats (ICREA) and Professor (Catedrático) at the Pompeu Fabra University (UPF) where he leads the Computational Neuroscience group. He is also Director of the Center of Brain and Cognition (UPF). In 1987 he received his PhD in Physics for his thesis on Relativistic Atomic Collisions. In 1987, he was a postdoc at the University of Bordeaux in France. From 1988 to 1990, he obtained a postdoc of the Alexander von Humboldt Foundation at the University of Giessen in Germany. From 1990 to 2003, he lead the Computational Neuroscience Group at Siemens Corporate Research Center in Munich, Germany. He obtained in 1997 his Habilitation (maximal academical degree in Germany) in Computer Science (Dr. rer. nat. habil.) at the Technical University of Munich for his thesis on Neural Learning. In 2001, he received his PhD in Psychology at the Ludwig-Maximilians-University of Munich.

Research interests

Perceptions, memories, emotions, and everything that makes us human, demand the flexible integration of information represented and computed in a distributed manner. Normal brain functions require the integration of functionally specialized but widely distributed brain areas. The main aim of my research is to elucidate precisely the computational principles underlying higher brain functions and their breakdown in brain diseases. My research allows us to comprehend the mechanisms underlying brain functions by complementing structural and activation based analyses with dynamics. We integrate different levels of experimental investigation in cognitive neuroscience (from the operation of single neurons and neuroanatomy, neurophysiology, neuroimaging and neuropsychology to behaviour) via a unifying theoretical framework that captures the neural dynamics inherent in the computation of cognitive processes.

Selected publications

Deco G & Kringelbach M 2016, ‘Metastability and Coherence: Extending the Communication through Coherence Hypothesis Using A Whole-Brain Computational Perspective’, Trends in Neurosciences, 39:125-135.

– Kaplan R, Adhikari M, Hindriks R, Martini D, Murayama Y, Logothetis N & Deco G 2016, ‘Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network’, Current Biology, 26:686–691.

– Gilson M, Moreno R, Ponce A, Ritter P & Deco G 2016, ‘Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome’, PLoS Comp. Biology, 11, 3, e1004762.

– Demirtaş M, Tornador C, Falcón C,López M, Hernández R, Pujol J, Menchón J, Ritter P, Cardoner N, Soriano C & Deco G 2016, ‘Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder’, Human Brain Mapping, 1097-0193.

– Hindriks R, Adhikari M H, Murayama Y, Ganzetti M, Mantini D, Logothetis N K & Deco G 2016, ‘Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?’, Neuroimage, 127, 242 – 256.

– Insabato A, Panunzi M & Deco G 2016, ‘Neural correlates of metacognition: A critical perspective on current tasks’, Neuroscience & Biobehavioral Reviews, 71, 167-175.

– Rolls E & Deco G 2016, ‘Non-reward neural mechanisms in the orbitofrontal cortex’, Cortex, 83:27-38. doi: 10.1016.

– Vattikonda A, Surampudi B, Banerjee A, Deco G & Roy D 2016, ‘Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account’, Neuroimage, 136:57-67.

– Batalle D, Muñoz-Moreno E, Tornador C, Bargallo N, Deco G, Eixarc E & Gratacos E 2016, ‘Altered resting-state whole-brain functional networks of neonates with intrauterine growth restriction’, Cortex, 77:119–131.