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Javier DeFelipe

Bio: Javier DeFelipe is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Neocortex & Dendritic spine. The author has an hindex of 76, co-authored 327 publications receiving 20464 citations. Previous affiliations of Javier DeFelipe include Spanish National Research Council & University of California, Irvine.


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Journal ArticleDOI
TL;DR: A representative group of researchers are convened to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex, and the resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells.
Abstract: Neuroscience produces a vast amount of data from an enormous diversity of neurons. A neuronal classification system is essential to organize such data and the knowledge that is derived from them. Classification depends on the unequivocal identification of the features that distinguish one type of neuron from another. The problems inherent in this are particularly acute when studying cortical interneurons. To tackle this, we convened a representative group of researchers to agree on a set of terms to describe the anatomical, physiological and molecular features of GABAergic interneurons of the cerebral cortex. The resulting terminology might provide a stepping stone towards a future classification of these complex and heterogeneous cells. Consistent adoption will be important for the success of such an initiative, and we also encourage the active involvement of the broader scientific community in the dynamic evolution of this project.

1,417 citations

Journal ArticleDOI
Henry Markram1, Henry Markram2, Eilif Muller2, Srikanth Ramaswamy2, Michael W. Reimann2, Marwan Abdellah2, Carlos Aguado Sanchez2, Anastasia Ailamaki2, Lidia Alonso-Nanclares3, Lidia Alonso-Nanclares4, Nicolas Antille2, Selim Arsever2, Guy Antoine Atenekeng Kahou2, Thomas K. Berger1, Ahmet Bilgili2, Nenad Buncic2, Athanassia Chalimourda2, Giuseppe Chindemi2, Jean Denis Courcol2, Fabien Delalondre2, Vincent Delattre1, Shaul Druckmann5, Shaul Druckmann6, Raphael Dumusc2, James Dynes2, Stefan Eilemann2, Eyal Gal6, Michael Gevaert2, Jean Pierre Ghobril1, Albert Gidon6, Joe W. Graham2, Anirudh Gupta1, Valentin Haenel2, Etay Hay6, Thomas Heinis7, Thomas Heinis2, Juan Hernando3, Michael L. Hines8, Lida Kanari2, Daniel Keller2, John Kenyon2, Georges Khazen2, Yihwa Kim2, James G. King2, Zoltán F. Kisvárday9, Pramod Kumbhar2, Sebastien Lasserre2, Jean Vincent Le Bé1, Bruno R. C. Magalhães2, Angel Merchán-Pérez4, Angel Merchán-Pérez3, Julie Meystre1, Benjamin Roy Morrice2, Jeffrey Muller2, Alberto Muñoz-Céspedes4, Alberto Muñoz-Céspedes3, Shruti Muralidhar1, Keerthan Muthurasa2, Daniel Nachbaur2, Taylor Howard Newton2, Max Nolte2, Aleksandr Ovcharenko2, Juan Palacios2, Luis Pastor10, Rodrigo Perin1, Rajnish Ranjan2, Rajnish Ranjan1, Imad Riachi2, José-Rodrigo Rodríguez3, José-Rodrigo Rodríguez4, Juan Luis Riquelme2, Christian Rössert2, Konstantinos Sfyrakis2, Ying Shi1, Ying Shi2, Julian C. Shillcock2, Gilad Silberberg11, Ricardo Silva2, Farhan Tauheed2, Martin Telefont2, Maria Toledo-Rodriguez12, Thomas Tränkler2, Werner Van Geit2, Jafet Villafranca Diaz2, Richard Walker2, Yun Wang13, Yun Wang14, Stefano M. Zaninetta2, Javier DeFelipe4, Javier DeFelipe3, Sean Hill2, Idan Segev6, Felix Schürmann2 
08 Oct 2015-Cell
TL;DR: A first-draft digital reconstruction of the microcircuitry of somatosensory cortex of juvenile rat is presented, finding a spectrum of network states with a sharp transition from synchronous to asynchronous activity, modulated by physiological mechanisms.

1,252 citations

Journal ArticleDOI
TL;DR: A possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria is described.
Abstract: A systematic classification and accepted nomenclature of neuron types is much needed but is currently lacking. This article describes a possible taxonomical solution for classifying GABAergic interneurons of the cerebral cortex based on a novel, web-based interactive system that allows experts to classify neurons with pre-determined criteria. Using Bayesian analysis and clustering algorithms on the resulting data, we investigated the suitability of several anatomical terms and neuron names for cortical GABAergic interneurons. Moreover, we show that supervised classification models could automatically categorize interneurons in agreement with experts' assignments. These results demonstrate a practical and objective approach to the naming, characterization and classification of neurons based on community consensus.

727 citations

Journal ArticleDOI
TL;DR: Differences in cortical areas of the human, rat and mouse probably indicate the evolutionary adaptation of excitatory and inhibitory circuits to particular functions.
Abstract: The appearance of the neocortex, its expansion, and its differentiation in mammals, represents one of the principal episodes in the evolution of the vertebrate brain. One of the fundamental questions in neuroscience is what is special about the neocortex of humans and how does it differ from that of other species? It is clear that distinct cortical areas show important differences within both the same and different species, and this has led to some researchers emphasizing the similarities whereas others focus on the differences. In general, despite of the large number of different elements that contribute to neocortical circuits, it is thought that neocortical neurons are organized into multiple, small repeating microcircuits, based around pyramidal cells and their input-output connections. These inputs originate from extrinsic afferent systems, excitatory glutamatergic spiny cells (which include other pyramidal cells and spiny stellate cells), and inhibitory GABAergic interneurons. The problem is that the neuronal elements that make up the basic microcircuit are differentiated into subtypes, some of which are lacking or highly modified in different cortical areas or species. Furthermore, the number of neurons contained in a discrete vertical cylinder of cortical tissue varies across species. Additionally, it has been shown that the neuropil in different cortical areas of the human, rat and mouse has a characteristic layer specific synaptology. These variations most likely reflect functional differences in the specific cortical circuits. The laminar specific similarities between cortical areas and between species, with respect to the percentage, length and density of excitatory and inhibitory synapses, and to the number of synapses per neuron, might be considered as the basic cortical building bricks. In turn, the differences probably indicate the evolutionary adaptation of excitatory and inhibitory circuits to particular functions.

609 citations


Cited by
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21 May 2015-Cell
TL;DR: Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together.

5,506 citations

01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.

5,249 citations

01 Jan 2016
TL;DR: The table of integrals series and products is universally compatible with any devices to read and is available in the book collection an online access to it is set as public so you can get it instantly.
Abstract: Thank you very much for downloading table of integrals series and products. Maybe you have knowledge that, people have look hundreds times for their chosen books like this table of integrals series and products, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. table of integrals series and products is available in our book collection an online access to it is set as public so you can get it instantly. Our book servers saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the table of integrals series and products is universally compatible with any devices to read.

4,085 citations

01 May 2015
TL;DR: Drop-seq as discussed by the authors analyzes mRNA transcripts from thousands of individual cells simultaneously while remembering transcripts' cell of origin, and identifies 39 transcriptionally distinct cell populations, creating a molecular atlas of gene expression for known retinal cell classes and novel candidate cell subtypes.
Abstract: Cells, the basic units of biological structure and function, vary broadly in type and state. Single-cell genomics can characterize cell identity and function, but limitations of ease and scale have prevented its broad application. Here we describe Drop-seq, a strategy for quickly profiling thousands of individual cells by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together. Drop-seq analyzes mRNA transcripts from thousands of individual cells simultaneously while remembering transcripts' cell of origin. We analyzed transcriptomes from 44,808 mouse retinal cells and identified 39 transcriptionally distinct cell populations, creating a molecular atlas of gene expression for known retinal cell classes and novel candidate cell subtypes. Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution. VIDEO ABSTRACT.

3,365 citations