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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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Nonlinear multivariate analysis of neurophysiological signals

TL;DR: This work describes the multivariate linear methods most commonly used in neurophysiology and shows that they can be extended to assess the existence of nonlinear interdependence between signals and describes nonlinear methods based on the concepts of phase synchronization, generalized synchronization and event synchronization.
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Extracting information from neuronal populations: information theory and decoding approaches.

TL;DR: To further understand how the brain processes information, it is important to shift from a single-neuron, multiple-trial framework to multiple-NEuron, single-trial methodologies.
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Past, present and future of spike sorting techniques

TL;DR: This work reviews the basic concepts of spike sorting, including the requirements for different applications, together with the problems faced by presently available algorithms, and proposes a roadmap stressing the crucial points to be addressed to support the neuroscientific research of the near future.
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Concept cells: the building blocks of declarative memory functions

TL;DR: It is argued that the sparse, explicit and abstract representation of these neurons is crucial for memory functions, such as the creation of associations and the transition between related concepts that leads to episodic memories and the flow of consciousness.
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Object Selectivity of Local Field Potentials and Spikes in the Macaque Inferior Temporal Cortex

TL;DR: In this article, local field potentials (LFPs) arise largely from dendritic activity over large brain regions and provide a measure of the input to and local processing within an area.