Jaime de la Rocha

Affiliations:

IDIBAPS, Barcelona, Catalunya, Spain

Area:

sensory systems, computational neuroscience, audition, network dynamics

Website:

http://neuro.fcrb.es/delaRochaLab/

Google:

"http://scholar.google.es/citations?user=TlXNwPoAAAAJ&hl=es"

Bio:

I studied physics in the Universidad Autónoma de Madrid (1992-97) and did my PhD in the computational group of Néstor Parga. I defended my thesis on computational implications of short-term synaptic depression in Feb. 2003. In October 2004 I moved to New York to be a postdoc in the lab of Alex Reyes in the Center for Neural Science (NYU) where I learned to do whole cell recordings in cortical slices and worked on computational models of correlation transmission and auditory circuitry. I enjoyed collaborating with Brent Doiron and Eric Shea-Brown. In October 2008 I started a second postdoc in the lab of Ken Harris in the Center for Molecular and Behavioral Neuroscience (Rutgers, Newark). There, I worked with Alfonso Renart in modeling recurrent networks and learned to perform population cortical recordings in anesthetized rats. In September 2010 I came to IDIBAPS (Barcelona) as a 'Ramón y Cajal' MICINN researcher where I have started my own lab.

Mean distance: 13.85 (cluster 6)

Cross-listing: CSD Tree

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Parents

Nestor Parga	grad student	1998-2004	Universidad Autónoma de Madrid, Spain
Kenneth D. Harris	post-doc		Rutgers, New Brunswick
Alex D. Reyes	post-doc		Rutgers, New Brunswick

Children

Ainhoa Hermoso-Mendizabal	grad student	IDIBAPS
Daniel Jercog	grad student	Université de Bordeaux
Alexandre HYAFIL	post-doc	IDIBAPS
Gabriela Mochol	post-doc

Collaborators

Alfonso Renart	collaborator	2008-	CMBN, Rutgers
Albert Compte	collaborator	2010-	IDIBAPS
Alex Roxin	collaborator	2010-	IDIBAPS
Brent Doiron	collaborator	2004-2008	Center for Neural Science, NYU
Eric Shea-Brown	collaborator	2004-2008	Center for Neural Science, NYU

BETA: Related publications

Publications

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Mochol G, Hermoso-Mendizabal A, Sakata S, et al. (2015) Stochastic transitions into silence cause noise correlations in cortical circuits. Proceedings of the National Academy of Sciences of the United States of America. 112: 3529-34
Wimmer K, Compte A, Roxin A, et al. (2015) Sensory integration dynamics in a hierarchical network explains choice probabilities in cortical area MT. Nature Communications. 6: 6177
Harris KD, Bartho P, Chadderton P, et al. (2011) How do neurons work together? Lessons from auditory cortex. Hearing Research. 271: 37-53
Renart A, de la Rocha J, Bartho P, et al. (2010) The asynchronous state in cortical circuits. Science (New York, N.Y.). 327: 587-90
JosiÄ‡ K, Shea-Brown E, Doiron B, et al. (2009) Stimulus-dependent correlations and population codes. Neural Computation. 21: 2774-804
de la Rocha J, Marchetti C, Schiff M, et al. (2008) Linking the response properties of cells in auditory cortex with network architecture: cotuning versus lateral inhibition. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 9151-63
Shea-Brown E, JosiÄ‡ K, de la Rocha J, et al. (2008) Correlation and synchrony transfer in integrate-and-fire neurons: basic properties and consequences for coding. Physical Review Letters. 100: 108102
de la Rocha J, Parga N. (2008) Thalamocortical transformations of periodic stimuli: the effect of stimulus velocity and synaptic short-term depression in the vibrissa-barrel system. Journal of Computational Neuroscience. 25: 122-40
de la Rocha J, Doiron B, Shea-Brown E, et al. (2007) Correlation between neural spike trains increases with firing rate. Nature. 448: 802-6
de la Rocha J, Parga N. (2005) Short-term synaptic depression causes a non-monotonic response to correlated stimuli. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 8416-31