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Rodrigo Quian Quiroga
Researcher at University of Leicester
Publications - 112
Citations - 7836
Rodrigo Quian Quiroga is an academic researcher from University of Leicester. The author has contributed to research in topics: Spike sorting & Visual perception. The author has an hindex of 43, co-authored 112 publications receiving 6854 citations. Previous affiliations of Rodrigo Quian Quiroga include Facultad de Ciencias Exactas y Naturales & Semel Institute for Neuroscience and Human Behavior.
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Journal ArticleDOI
A novel and fully automatic spike-sorting implementation with variable number of features
TL;DR: A new fully automatic spike-sorting algorithm, including several steps that allow the selection of multiple clusters of different sizes and densities, that defines the dimensionality of the feature space in an unsupervised way is proposed.
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Rapid Encoding of New Memories by Individual Neurons in the Human Brain
TL;DR: The recorded activity of MTL neurons in neurosurgical patients while they learned new associations provided a plausible neural substrate for the inception of associations, which are crucial for the formation of episodic memories.
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How many neurons can we see with current spike sorting algorithms
TL;DR: This work has shown that sparse neurons are strongly affected by the maximum number of correctly identified neurons in Spike sorting algorithms, so further development of algorithms is needed to address sparse neurons detection.
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Time-frequency analysis of electroencephalogram series.
S. Blanco,S. Blanco,Rodrigo Quian Quiroga,Rodrigo Quian Quiroga,Osvaldo A. Rosso,Osvaldo A. Rosso,Silvia Kochen,Silvia Kochen +7 more
TL;DR: It is found an optimal correlation between EEG visual inspection and the proposed method in the characterization of paroxism, spikes, and other transient alterations of background activity in refractory epileptic patients.
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Unmixing concurrent EEG-fMRI with parallel independent component analysis.
Tom Eichele,Vince D. Calhoun,Vince D. Calhoun,Vince D. Calhoun,Matthias Moosmann,Karsten Specht,Marijtje L.A. Jongsma,Rodrigo Quian Quiroga,Helge Nordby,Kenneth Hugdahl,Kenneth Hugdahl +10 more
TL;DR: Independent component analysis (ICA) was implemented as a group-level ICA that extracts a single set of components from the data and directly allows for population inferences about consistently expressed function-relevant spatiotemporal responses.