-
1
-
-
0001597874
-
El nuevo concepto de la histología de los centros nerviosos
-
Ramón y Cajal S. El nuevo concepto de la histología de los centros nerviosos. Rev. Cienc. Méd. 1892, 18:457-476.
-
(1892)
Rev. Cienc. Méd.
, vol.18
, pp. 457-476
-
-
Ramón y Cajal, S.1
-
2
-
-
84877615795
-
The NIH BRAIN Initiative
-
Insel T.R., et al. The NIH BRAIN Initiative. Science 2013, 340:687-688.
-
(2013)
Science
, vol.340
, pp. 687-688
-
-
Insel, T.R.1
-
3
-
-
84861414911
-
The Human Brain Project
-
Markram H. The Human Brain Project. Sci. Am. 2012, 306:50-55.
-
(2012)
Sci. Am.
, vol.306
, pp. 50-55
-
-
Markram, H.1
-
4
-
-
45749115353
-
Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex
-
Ascoli G.A., et al. Petilla terminology: nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat. Rev. Neurosci. 2008, 9:557-568.
-
(2008)
Nat. Rev. Neurosci.
, vol.9
, pp. 557-568
-
-
Ascoli, G.A.1
-
5
-
-
29444452573
-
Molecular taxonomy of major neuronal classes in the adult mouse forebrain
-
Sugino K., et al. Molecular taxonomy of major neuronal classes in the adult mouse forebrain. Nat. Neurosci. 2006, 9:99-107.
-
(2006)
Nat. Neurosci.
, vol.9
, pp. 99-107
-
-
Sugino, K.1
-
6
-
-
34548760721
-
Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression
-
Schulz D.J., et al. Quantitative expression profiling of identified neurons reveals cell-specific constraints on highly variable levels of gene expression. Proc. Natl. Acad. Sci. U.S.A. 2007, 104:13187-13191.
-
(2007)
Proc. Natl. Acad. Sci. U.S.A.
, vol.104
, pp. 13187-13191
-
-
Schulz, D.J.1
-
7
-
-
38149129457
-
A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function
-
Cahoy J.D., et al. A transcriptome database for astrocytes, neurons, and oligodendrocytes: a new resource for understanding brain development and function. J. Neurosci. 2008, 28:264-278.
-
(2008)
J. Neurosci.
, vol.28
, pp. 264-278
-
-
Cahoy, J.D.1
-
8
-
-
61349201471
-
Biophysical support for fnctionally distinct cell types in the frontal eye field
-
Cohen J.Y., et al. Biophysical support for fnctionally distinct cell types in the frontal eye field. J. Neurophysiol. 2009, 101:912-916.
-
(2009)
J. Neurophysiol.
, vol.101
, pp. 912-916
-
-
Cohen, J.Y.1
-
9
-
-
63849258894
-
Classification of NPY-expressing neocortical interneurons
-
Karagiannis A., et al. Classification of NPY-expressing neocortical interneurons. J. Neurosci. 2009, 29:3642-3659.
-
(2009)
J. Neurosci.
, vol.29
, pp. 3642-3659
-
-
Karagiannis, A.1
-
10
-
-
67651091753
-
Novel markers reveal subpopulations of subplate neurons in the murine cerebral cortex
-
Hoerder-Suabedissen A., et al. Novel markers reveal subpopulations of subplate neurons in the murine cerebral cortex. Cereb. Cortex 2009, 19:1738-1750.
-
(2009)
Cereb. Cortex
, vol.19
, pp. 1738-1750
-
-
Hoerder-Suabedissen, A.1
-
11
-
-
77953423433
-
Quantitative classification of somatostatin-positive neocortical interneurons identifies three interneuron subtypes
-
McGarry L.M., et al. Quantitative classification of somatostatin-positive neocortical interneurons identifies three interneuron subtypes. Front. Neural Circuits 2010, 4:12.
-
(2010)
Front. Neural Circuits
, vol.4
, pp. 12
-
-
McGarry, L.M.1
-
12
-
-
78650043633
-
Comparison between supervised and unsupervised classifications of neuronal cell types: a case study
-
Guerra L., et al. Comparison between supervised and unsupervised classifications of neuronal cell types: a case study. Dev. Neurobiol. 2011, 71:71-82.
-
(2011)
Dev. Neurobiol.
, vol.71
, pp. 71-82
-
-
Guerra, L.1
-
13
-
-
79955164276
-
Physiological clustering of visual channels in the mouse retina
-
Farrow K., Masland R.H. Physiological clustering of visual channels in the mouse retina. J. Neurophysiol. 2011, 105:1516-1530.
-
(2011)
J. Neurophysiol.
, vol.105
, pp. 1516-1530
-
-
Farrow, K.1
Masland, R.H.2
-
14
-
-
79551520605
-
A quantitative comparison of cell-type-specific microarray gene expression profiling methods in the mouse brain
-
Okaty B.W., et al. A quantitative comparison of cell-type-specific microarray gene expression profiling methods in the mouse brain. PLoS ONE 2011, 6:e16393.
-
(2011)
PLoS ONE
, vol.6
-
-
Okaty, B.W.1
-
15
-
-
84861122283
-
Quantitative unit classification of ventral tegmental area neurons in vivo
-
Li W., et al. Quantitative unit classification of ventral tegmental area neurons in vivo. J. Neurophysiol. 2012, 107:2808-2820.
-
(2012)
J. Neurophysiol.
, vol.107
, pp. 2808-2820
-
-
Li, W.1
-
16
-
-
84863941523
-
A mutual information approach to automate identification of neuronal clusters in Drosophila brain images
-
Masse N.Y., et al. A mutual information approach to automate identification of neuronal clusters in Drosophila brain images. Front. Neuroinform. 2012, 6:21.
-
(2012)
Front. Neuroinform.
, vol.6
, pp. 21
-
-
Masse, N.Y.1
-
17
-
-
84875424532
-
New insights into the classification and nomenclature of cortical GABAergic interneurons
-
DeFelipe J., et al. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat. Rev. Neurosci. 2013, 14:202-216.
-
(2013)
Nat. Rev. Neurosci.
, vol.14
, pp. 202-216
-
-
DeFelipe, J.1
-
18
-
-
84873107608
-
Beyond the frontiers of neuronal types
-
Battaglia D., et al. Beyond the frontiers of neuronal types. Front. Neural Circuits 2013, 7:13.
-
(2013)
Front. Neural Circuits
, vol.7
, pp. 13
-
-
Battaglia, D.1
-
19
-
-
84902899552
-
A hierarchical structure of cortical interneuron electrical diversity revealed by automated statistical analysis
-
Druckmann S., et al. A hierarchical structure of cortical interneuron electrical diversity revealed by automated statistical analysis. Cereb. Cortex 2013, 23:2994-3006.
-
(2013)
Cereb. Cortex
, vol.23
, pp. 2994-3006
-
-
Druckmann, S.1
-
20
-
-
84910596185
-
Characterization and distribution of reelin-positive interneuron subtypes in the rat barrel cortex
-
Pohlkamp T., et al. Characterization and distribution of reelin-positive interneuron subtypes in the rat barrel cortex. Cereb. Cortex 2013, 24:3046-3058.
-
(2013)
Cereb. Cortex
, vol.24
, pp. 3046-3058
-
-
Pohlkamp, T.1
-
21
-
-
84889596969
-
Classification of neocortical interneurons using affinity propagation
-
Santana R., et al. Classification of neocortical interneurons using affinity propagation. Front. Neural Circuits 2013, 7:185.
-
(2013)
Front. Neural Circuits
, vol.7
, pp. 185
-
-
Santana, R.1
-
22
-
-
84889569751
-
Bayesian network modeling of the consensus between experts: an application to neuron classification
-
López-Cruz P.L., et al. Bayesian network modeling of the consensus between experts: an application to neuron classification. Int. J. Approx. Reason. 2014, 55:3-22.
-
(2014)
Int. J. Approx. Reason.
, vol.55
, pp. 3-22
-
-
López-Cruz, P.L.1
-
23
-
-
84928422404
-
Quantitative arbor analytics: Unsupervised harmonic co-clustering of populations of brain cell arbors based on L-Measure
-
Lu Y., et al. Quantitative arbor analytics: Unsupervised harmonic co-clustering of populations of brain cell arbors based on L-Measure. Neuroinformatics 2015, 13:47-63.
-
(2015)
Neuroinformatics
, vol.13
, pp. 47-63
-
-
Lu, Y.1
-
24
-
-
84903177431
-
A genetic and computational approach to structurally classify neuronal types
-
Sümbül U., et al. A genetic and computational approach to structurally classify neuronal types. Nat. Commun. 2014, 5:3512.
-
(2014)
Nat. Commun.
, vol.5
, pp. 3512
-
-
Sümbül, U.1
-
25
-
-
84908235789
-
Neurosharing: large-scale data sets (spike, LFP) recorded from the hippocampal-entorhinal system in behaving rats
-
Mizuseki K., et al. Neurosharing: large-scale data sets (spike, LFP) recorded from the hippocampal-entorhinal system in behaving rats. F1000Res 2014, 3:98.
-
(2014)
F1000Res
, vol.3
, pp. 98
-
-
Mizuseki, K.1
-
26
-
-
84928418968
-
NBLAST: rapid, sensitive comparison of neuronal structure and construction of neuron family databases
-
Published online August 9, 2014
-
Costa M., et al. NBLAST: rapid, sensitive comparison of neuronal structure and construction of neuron family databases. BioRxiv 2014, Published online August 9, 2014. http://dx.doi.org/10.1101/006346.
-
(2014)
BioRxiv
-
-
Costa, M.1
-
27
-
-
33748849648
-
Machine learning in bioinformatics
-
Larrañaga P., et al. Machine learning in bioinformatics. Brief. Bioinform. 2006, 7:86-112.
-
(2006)
Brief. Bioinform.
, vol.7
, pp. 86-112
-
-
Larrañaga, P.1
-
28
-
-
79951548200
-
Challenges and opportunities in mining neuroscience data
-
Akil H., et al. Challenges and opportunities in mining neuroscience data. Science 2011, 331:708-712.
-
(2011)
Science
, vol.331
, pp. 708-712
-
-
Akil, H.1
-
29
-
-
84875547168
-
Neuronal morphology goes digital: a research hub for cellular and system neuroscience
-
Parekh R., Ascoli G.A. Neuronal morphology goes digital: a research hub for cellular and system neuroscience. Neuron 2013, 77:1017-1038.
-
(2013)
Neuron
, vol.77
, pp. 1017-1038
-
-
Parekh, R.1
Ascoli, G.A.2
-
31
-
-
36049001150
-
The neuron classification problem
-
Bota M., Swanson L.W. The neuron classification problem. Brain Res. Rev. 2007, 56:79-88.
-
(2007)
Brain Res. Rev.
, vol.56
, pp. 79-88
-
-
Bota, M.1
Swanson, L.W.2
-
32
-
-
84920129218
-
Toward functional classification of neuronal types
-
Sharpee T.O. Toward functional classification of neuronal types. Neuron 2014, 83:1329-1334.
-
(2014)
Neuron
, vol.83
, pp. 1329-1334
-
-
Sharpee, T.O.1
-
33
-
-
84891468640
-
Classification and function of GABAergic interneurons of the mammalian cerebral cortex
-
Zaitsev A.V. Classification and function of GABAergic interneurons of the mammalian cerebral cortex. Biochem. (Moscow) Suppl. Ser. A: Membr. Cell Biol. 2013, 7:245-259.
-
(2013)
Biochem. (Moscow) Suppl. Ser. A: Membr. Cell Biol.
, vol.7
, pp. 245-259
-
-
Zaitsev, A.V.1
-
34
-
-
84858320460
-
Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms
-
Mensi S., et al. Parameter extraction and classification of three cortical neuron types reveals two distinct adaptation mechanisms. J. Neurophysiol. 2012, 107:1756-1775.
-
(2012)
J. Neurophysiol.
, vol.107
, pp. 1756-1775
-
-
Mensi, S.1
-
35
-
-
0000459353
-
The lack of a priori distinctions between learning algorithms
-
Wolpert D. The lack of a priori distinctions between learning algorithms. Neural Comput. 1996, 8:1341-1390.
-
(1996)
Neural Comput.
, vol.8
, pp. 1341-1390
-
-
Wolpert, D.1
-
36
-
-
84930328396
-
Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology
-
Published online June 27, 2014
-
Parekh R., Ascoli G.A. Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology. Neuroscientist 2014, Published online June 27, 2014. http://dx.doi.org/10.1177/1073858414540216.
-
(2014)
Neuroscientist
-
-
Parekh, R.1
Ascoli, G.A.2
-
37
-
-
0032193939
-
Neural cell classification by wavelets and multiscale curvature
-
Cesar Junior R.M., Costa L.F. Neural cell classification by wavelets and multiscale curvature. Biol. Cybern. 1998, 79:347-360.
-
(1998)
Biol. Cybern.
, vol.79
, pp. 347-360
-
-
Cesar Junior, R.M.1
Costa, L.F.2
-
38
-
-
79551516806
-
BAMS neuroanatomical ontology: design and implementation
-
Bota M., Swanson L.W. BAMS neuroanatomical ontology: design and implementation. Front. Neuroinform. 2008, 2:2.
-
(2008)
Front. Neuroinform.
, vol.2
, pp. 2
-
-
Bota, M.1
Swanson, L.W.2
-
39
-
-
84929964433
-
Bayesian network classifiers for categorizing cortical GABAergic interneurons
-
Published online November 25, 2015
-
Mihaljevic B., et al. Bayesian network classifiers for categorizing cortical GABAergic interneurons. Neuroinformatics 2014, Published online November 25, 2015. http://dx.doi.org/10.1007/s12021-014-9254-1.
-
(2014)
Neuroinformatics
-
-
Mihaljevic, B.1
-
40
-
-
3543144446
-
Dendritic organization in the neurons of the visual and motor cortices of the cat
-
Sholl D.A. Dendritic organization in the neurons of the visual and motor cortices of the cat. J. Anat. 1953, 87:387-406.
-
(1953)
J. Anat.
, vol.87
, pp. 387-406
-
-
Sholl, D.A.1
-
41
-
-
43149098519
-
L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies
-
Scorcioni R., et al. L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies. Nat. Protoc. 2008, 3:866-876.
-
(2008)
Nat. Protoc.
, vol.3
, pp. 866-876
-
-
Scorcioni, R.1
-
42
-
-
79958158724
-
The FARSIGHT trace editor: an open source tool for 3-D Inspection and efficient pattern analysis aided editing of automated neuronal reconstructions
-
Luisi J., et al. The FARSIGHT trace editor: an open source tool for 3-D Inspection and efficient pattern analysis aided editing of automated neuronal reconstructions. Neuroinformatics 2011, 9:305-315.
-
(2011)
Neuroinformatics
, vol.9
, pp. 305-315
-
-
Luisi, J.1
-
43
-
-
84928416618
-
Statistical analysis and data mining of digital reconstructions of dendritic morphologies
-
Polavaram S., et al. Statistical analysis and data mining of digital reconstructions of dendritic morphologies. Front. Neuroanat. 2014, 8:138.
-
(2014)
Front. Neuroanat.
, vol.8
, pp. 138
-
-
Polavaram, S.1
-
44
-
-
84868303503
-
Morphological homogeneity of neurons: searching for outlier neuronal cells
-
Zawadzki K., et al. Morphological homogeneity of neurons: searching for outlier neuronal cells. Neuroinformatics 2012, 10:379-389.
-
(2012)
Neuroinformatics
, vol.10
, pp. 379-389
-
-
Zawadzki, K.1
-
45
-
-
84867598660
-
Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types
-
Brown K., et al. Digital morphometry of rat cerebellar climbing fibers reveals distinct branch and bouton types. J. Neurosci. 2012, 32:14670-14684.
-
(2012)
J. Neurosci.
, vol.32
, pp. 14670-14684
-
-
Brown, K.1
-
46
-
-
84859833067
-
High-resolution imaging and evaluation of spines in organotypic hippocampal slice cultures
-
Sündermann F., et al. High-resolution imaging and evaluation of spines in organotypic hippocampal slice cultures. Methods Mol. Biol. 2012, 846:277-293.
-
(2012)
Methods Mol. Biol.
, vol.846
, pp. 277-293
-
-
Sündermann, F.1
-
47
-
-
84928421900
-
Investigation of a random graph model for neuronal connectivity
-
Marchette D.J., et al. Investigation of a random graph model for neuronal connectivity. Joint Mtg. Am. Math. Soc. 2012, 91.
-
(2012)
Joint Mtg. Am. Math. Soc.
, pp. 91
-
-
Marchette, D.J.1
-
48
-
-
85046767900
-
Automatic neuron type identification by neurite localization in the Drosophila medulla
-
Published online September 5, 2014.
-
Zhao T., Plaza S.M. Automatic neuron type identification by neurite localization in the Drosophila medulla. ArXiv 2014, Published online September 5, 2014. http://arxiv.org/abs/1409.1892.
-
(2014)
ArXiv
-
-
Zhao, T.1
Plaza, S.M.2
-
49
-
-
3242876311
-
BLAST: at the core of a powerful and diverse set of sequence analysis tools
-
McGinnis S., Madden T.L. BLAST: at the core of a powerful and diverse set of sequence analysis tools. Nucleic Acids Res. 2004, 32:W20-W25.
-
(2004)
Nucleic Acids Res.
, vol.32
, pp. W20-W25
-
-
McGinnis, S.1
Madden, T.L.2
-
50
-
-
79151480913
-
Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution
-
Chiang A.S., et al. Three-dimensional reconstruction of brain-wide wiring networks in Drosophila at single-cell resolution. Curr. Biol. 2011, 21:1-11.
-
(2011)
Curr. Biol.
, vol.21
, pp. 1-11
-
-
Chiang, A.S.1
-
51
-
-
33847172327
-
Clustering by passing messages between data points
-
Frey B.J., Dueck D. Clustering by passing messages between data points. Science 2007, 315:972-976.
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
-
52
-
-
70449523119
-
Patterning and organization of motor neuron dendrites in the Drosophila larva
-
Kim M.D., et al. Patterning and organization of motor neuron dendrites in the Drosophila larva. Dev. Biol. 2009, 336:213-221.
-
(2009)
Dev. Biol.
, vol.336
, pp. 213-221
-
-
Kim, M.D.1
-
54
-
-
84893487877
-
Part-based motor neuron recognition in the Drosophila ventral nerve cord
-
Chang X., et al. Part-based motor neuron recognition in the Drosophila ventral nerve cord. Neuroimage 2013, 90:33-42.
-
(2013)
Neuroimage
, vol.90
, pp. 33-42
-
-
Chang, X.1
-
55
-
-
0028202537
-
Electrophysiological characterization of myenteric neurons: how do classification schemes relate?
-
Bornstein J.C., et al. Electrophysiological characterization of myenteric neurons: how do classification schemes relate?. J. Auton. Nerv. Syst. 1994, 48:1-15.
-
(1994)
J. Auton. Nerv. Syst.
, vol.48
, pp. 1-15
-
-
Bornstein, J.C.1
-
56
-
-
0142039676
-
Neuron classification based on temporal firing patterns by the dynamical analysis with changing time resolution (DCT) method
-
Oshio K., et al. Neuron classification based on temporal firing patterns by the dynamical analysis with changing time resolution (DCT) method. Biol. Cybern. 2003, 88:438-449.
-
(2003)
Biol. Cybern.
, vol.88
, pp. 438-449
-
-
Oshio, K.1
-
57
-
-
0023680404
-
Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation
-
Salganicoff M., et al. Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation. J. Neurosci. Methods 1988, 25:181-187.
-
(1988)
J. Neurosci. Methods
, vol.25
, pp. 181-187
-
-
Salganicoff, M.1
-
58
-
-
77950375054
-
Classification of extracellularly recorded neurons by their discharge patterns and their correlates with intracellularly identified neuronal types in the frontal cortex of behaving monkeys
-
Katai S., et al. Classification of extracellularly recorded neurons by their discharge patterns and their correlates with intracellularly identified neuronal types in the frontal cortex of behaving monkeys. Eur. J. Neurosci. 2010, 31:1322-1338.
-
(2010)
Eur. J. Neurosci.
, vol.31
, pp. 1322-1338
-
-
Katai, S.1
-
59
-
-
84864007907
-
Electrophysiological classes of layer 2/3 pyramidal cells in monkey prefrontal cortex
-
Zaitsev A.V., et al. Electrophysiological classes of layer 2/3 pyramidal cells in monkey prefrontal cortex. J. Neurophysiol. 2012, 108:595-609.
-
(2012)
J. Neurophysiol.
, vol.108
, pp. 595-609
-
-
Zaitsev, A.V.1
-
60
-
-
84878497710
-
Subgroups of parvalbumin-expressing interneurons in layers 2/3 of the visual cortex
-
Helm J., et al. Subgroups of parvalbumin-expressing interneurons in layers 2/3 of the visual cortex. J. Neurophysiol. 2013, 109:1600-1613.
-
(2013)
J. Neurophysiol.
, vol.109
, pp. 1600-1613
-
-
Helm, J.1
-
61
-
-
70350202553
-
Theta oscillations provide temporal windows for local circuit computation in the entorhinal hippocampal loop
-
Mizuseki K., et al. Theta oscillations provide temporal windows for local circuit computation in the entorhinal hippocampal loop. Neuron 2009, 64:267-280.
-
(2009)
Neuron
, vol.64
, pp. 267-280
-
-
Mizuseki, K.1
-
62
-
-
33745144588
-
The problem of neuronal cell types: a physiological genomics approach
-
Nelson S.B., et al. The problem of neuronal cell types: a physiological genomics approach. Trends Neurosci. 2006, 29:339-345.
-
(2006)
Trends Neurosci.
, vol.29
, pp. 339-345
-
-
Nelson, S.B.1
-
63
-
-
70450205344
-
Shifting the paradigm: new approaches for characterizing and classifying neurons
-
Bernard A., et al. Shifting the paradigm: new approaches for characterizing and classifying neurons. Curr. Opin. Neurobiol. 2009, 19:530-536.
-
(2009)
Curr. Opin. Neurobiol.
, vol.19
, pp. 530-536
-
-
Bernard, A.1
-
64
-
-
60749125717
-
An anatomic gene expression atlas of the adult mouse brain
-
Ng L., et al. An anatomic gene expression atlas of the adult mouse brain. Nat. Neurosci. 2009, 12:356-362.
-
(2009)
Nat. Neurosci.
, vol.12
, pp. 356-362
-
-
Ng, L.1
-
65
-
-
34249819336
-
MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals
-
Tsang J., et al. MicroRNA-mediated feedback and feedforward loops are recurrent network motifs in mammals. Mol. Cell 2007, 26:753-767.
-
(2007)
Mol. Cell
, vol.26
, pp. 753-767
-
-
Tsang, J.1
-
66
-
-
68749092138
-
The organization of the transcriptional network in specific neuronal classes
-
Winden K.D., et al. The organization of the transcriptional network in specific neuronal classes. Mol. Syst. Biol. 2009, 5:291.
-
(2009)
Mol. Syst. Biol.
, vol.5
, pp. 291
-
-
Winden, K.D.1
-
67
-
-
79960963398
-
A blueprint for the spatiotemporal origins of mouse hippocampal interneuron diversity
-
Tricoire L., et al. A blueprint for the spatiotemporal origins of mouse hippocampal interneuron diversity. J. Neurosci. 2011, 31:10948-10970.
-
(2011)
J. Neurosci.
, vol.31
, pp. 10948-10970
-
-
Tricoire, L.1
-
68
-
-
79956315360
-
Cell type-specific transcriptomics in the brain
-
Okaty B.W., et al. Cell type-specific transcriptomics in the brain. J. Neurosci. 2011, 31:6939-6943.
-
(2011)
J. Neurosci.
, vol.31
, pp. 6939-6943
-
-
Okaty, B.W.1
-
69
-
-
84866518216
-
An anatomically comprehensive atlas of the adult human brain transcriptome
-
Hawrylycz M.J., et al. An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 2012, 489:391-399.
-
(2012)
Nature
, vol.489
, pp. 391-399
-
-
Hawrylycz, M.J.1
-
70
-
-
84925016216
-
Correlated gene expression and target specificity demonstrate excitatory projection neuron diversity
-
Sorensen S.A., et al. Correlated gene expression and target specificity demonstrate excitatory projection neuron diversity. Cereb. Cortex 2013, 25:433-439.
-
(2013)
Cereb. Cortex
, vol.25
, pp. 433-439
-
-
Sorensen, S.A.1
-
71
-
-
84900303453
-
Transcriptional landscape of the prenatal human brain
-
Miller J.A., et al. Transcriptional landscape of the prenatal human brain. Nature 2014, 508:199-206.
-
(2014)
Nature
, vol.508
, pp. 199-206
-
-
Miller, J.A.1
-
72
-
-
33645278642
-
Mobilizing the base of neuroscience data: the case of neuronal morphologies
-
Ascoli G.A. Mobilizing the base of neuroscience data: the case of neuronal morphologies. Nat. Rev. Neurosci. 2006, 7:318-324.
-
(2006)
Nat. Rev. Neurosci.
, vol.7
, pp. 318-324
-
-
Ascoli, G.A.1
-
73
-
-
56149096245
-
Data sharing for computational neuroscience
-
Teeters J.L., et al. Data sharing for computational neuroscience. Neuroinformatics 2008, 6:47-55.
-
(2008)
Neuroinformatics
, vol.6
, pp. 47-55
-
-
Teeters, J.L.1
-
74
-
-
84892451597
-
Why the resistance to statistical innovations? Bridging the communication gap
-
Sharpe D. Why the resistance to statistical innovations? Bridging the communication gap. Psychol. Methods 2013, 18:572-582.
-
(2013)
Psychol. Methods
, vol.18
, pp. 572-582
-
-
Sharpe, D.1
-
75
-
-
76749092270
-
The WEKA data mining software: an update
-
Hall M., et al. The WEKA data mining software: an update. SIGKDD Explorations 2009, 11:10-18.
-
(2009)
SIGKDD Explorations
, vol.11
, pp. 10-18
-
-
Hall, M.1
-
76
-
-
79953115330
-
KNIME: The Konstanz information miner
-
Springer Berlin Heidelberg, C. Preisach (Ed.)
-
Berthold M.R., et al. KNIME: The Konstanz information miner. Data Analysis, Machine Learning and Applications 2007, 319-326. Springer Berlin Heidelberg. C. Preisach (Ed.).
-
(2007)
Data Analysis, Machine Learning and Applications
, pp. 319-326
-
-
Berthold, M.R.1
-
77
-
-
77954666305
-
The SHOGUN machine learning toolbox
-
Sonnenburg S., et al. The SHOGUN machine learning toolbox. J. Mach. Learn. Res. 2010, 11:1799-1802.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1799-1802
-
-
Sonnenburg, S.1
-
80
-
-
84876665206
-
Power failure: why small sample size undermines the reliability of neuroscience
-
Button K.S., et al. Power failure: why small sample size undermines the reliability of neuroscience. Nat. Rev. Neurosci. 2013, 14:365-376.
-
(2013)
Nat. Rev. Neurosci.
, vol.14
, pp. 365-376
-
-
Button, K.S.1
-
82
-
-
84860504202
-
Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests
-
Razali N., Wah Y.B. Power comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. J. Stat. Model. Analytics 2011, 2:21-33.
-
(2011)
J. Stat. Model. Analytics
, vol.2
, pp. 21-33
-
-
Razali, N.1
Wah, Y.B.2
-
83
-
-
33744481028
-
Interneurons targeting similar layers receive synaptic inputs with similar kinetics
-
Cossart R., et al. Interneurons targeting similar layers receive synaptic inputs with similar kinetics. Hippocampus 2006, 16:408-420.
-
(2006)
Hippocampus
, vol.16
, pp. 408-420
-
-
Cossart, R.1
-
84
-
-
84892671870
-
Morpho-physiological criteria divide dentate gyrus interneurons into classes
-
Hosp J.A., et al. Morpho-physiological criteria divide dentate gyrus interneurons into classes. Hippocampus 2014, 24:189-203.
-
(2014)
Hippocampus
, vol.24
, pp. 189-203
-
-
Hosp, J.A.1
-
85
-
-
0032077287
-
How many subtypes of inhibitory cells in the hippocampus?
-
Parra P., et al. How many subtypes of inhibitory cells in the hippocampus?. Neuron 1998, 20:983-993.
-
(1998)
Neuron
, vol.20
, pp. 983-993
-
-
Parra, P.1
-
86
-
-
84928432973
-
-
Springer, I. Guyon (Ed.)
-
Feature Extraction: Foundations and Applications 2006, Springer. I. Guyon (Ed.).
-
(2006)
-
-
-
87
-
-
84928437206
-
-
Chapman and Hall/CRC, H. Liu, H. Motoda (Eds.)
-
Computational Methods of Feature Selection 2007, Chapman and Hall/CRC. H. Liu, H. Motoda (Eds.).
-
(2007)
-
-
-
88
-
-
35748932917
-
A review of feature selection techniques in bioinformatics
-
Saeys Y., et al. A review of feature selection techniques in bioinformatics. Bioinformatics 2007, 23:2507-2517.
-
(2007)
Bioinformatics
, vol.23
, pp. 2507-2517
-
-
Saeys, Y.1
-
89
-
-
75149166068
-
The coming of age of the hippocampome
-
Ascoli G.A. The coming of age of the hippocampome. Neuroinformatics 2010, 8:1-3.
-
(2010)
Neuroinformatics
, vol.8
, pp. 1-3
-
-
Ascoli, G.A.1
-
91
-
-
33748319377
-
Effects of β-catenin on dendritic morphology and simulated firing patterns in cultured hippocampal neurons
-
Krichmar J.L., et al. Effects of β-catenin on dendritic morphology and simulated firing patterns in cultured hippocampal neurons. Biol. Bull. 2006, 211:31-43.
-
(2006)
Biol. Bull.
, vol.211
, pp. 31-43
-
-
Krichmar, J.L.1
-
92
-
-
84868266043
-
Uncovering genes required for neuronal morphology by morphology-based gene trap screening with a revertible retrovirus vector
-
Hashimoto Y., et al. Uncovering genes required for neuronal morphology by morphology-based gene trap screening with a revertible retrovirus vector. FASEB J. 2012, 26:4662-4674.
-
(2012)
FASEB J.
, vol.26
, pp. 4662-4674
-
-
Hashimoto, Y.1
-
93
-
-
84925494182
-
A digital atlas of ion channel expression patterns in the two-week-old rat brain
-
Shcherbatyy V., et al. A digital atlas of ion channel expression patterns in the two-week-old rat brain. Neuroinformatics 2015, 13:111-125.
-
(2015)
Neuroinformatics
, vol.13
, pp. 111-125
-
-
Shcherbatyy, V.1
-
94
-
-
0022638213
-
Cat and monkey retinal ganglion cells and their visual functional roles
-
Shapley R., Hugh Perry V. Cat and monkey retinal ganglion cells and their visual functional roles. Trends Neurosci. 1986, 9:229-235.
-
(1986)
Trends Neurosci.
, vol.9
, pp. 229-235
-
-
Shapley, R.1
Hugh Perry, V.2
-
95
-
-
84893351797
-
NIH plans to enhance reproducibility
-
Collins F.S., Tabak L.A. NIH plans to enhance reproducibility. Nature 2014, 505:612-613.
-
(2014)
Nature
, vol.505
, pp. 612-613
-
-
Collins, F.S.1
Tabak, L.A.2
-
96
-
-
84876040572
-
An ontological approach to describing neurons and their relationships
-
Hamilton D.J., et al. An ontological approach to describing neurons and their relationships. Front. Neuroinform. 2012, 6:15.
-
(2012)
Front. Neuroinform.
, vol.6
, pp. 15
-
-
Hamilton, D.J.1
-
97
-
-
18344396568
-
Minimum information about a microarray experiment (MIAME)-toward standards for microarray data
-
Brazma A., et al. Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nat. Genet. 2001, 29:365-371.
-
(2001)
Nat. Genet.
, vol.29
, pp. 365-371
-
-
Brazma, A.1
-
98
-
-
84975795680
-
An integrated map of genetic variation from 1,092 human genomes
-
The 1000 Genomes Project Consortium
-
An integrated map of genetic variation from 1,092 human genomes. Nature 2012, 491:56-65. The 1000 Genomes Project Consortium.
-
(2012)
Nature
, vol.491
, pp. 56-65
-
-
-
99
-
-
58149145635
-
Validation of biomarker-based risk prediction models
-
Taylor J.M.G., et al. Validation of biomarker-based risk prediction models. Clin. Cancer Res. 2008, 14:5977-5983.
-
(2008)
Clin. Cancer Res.
, vol.14
, pp. 5977-5983
-
-
Taylor, J.M.G.1
-
100
-
-
84888206480
-
A survey of L1 regression
-
Vidaurre D., et al. A survey of L1 regression. Int. Stat. Rev. 2013, 81:361-387.
-
(2013)
Int. Stat. Rev.
, vol.81
, pp. 361-387
-
-
Vidaurre, D.1
-
101
-
-
84861153094
-
Matrix eQTL: ultra fast eQTL analysis via large matrix operations
-
Shabalin A.A. Matrix eQTL: ultra fast eQTL analysis via large matrix operations. Bioinformatics 2012, 28:1353-1358.
-
(2012)
Bioinformatics
, vol.28
, pp. 1353-1358
-
-
Shabalin, A.A.1
-
102
-
-
84899766043
-
A two-graph guided multi-task Lasso approach for eQTL mapping
-
JMLR
-
Chen X., et al. A two-graph guided multi-task Lasso approach for eQTL mapping. Artificial Intelligence and Statistics 2012 2012, Vol. 22:208-217. JMLR.
-
(2012)
Artificial Intelligence and Statistics 2012
, vol.22
, pp. 208-217
-
-
Chen, X.1
-
103
-
-
84860640101
-
Learning transcriptional regulatory relationships using sparse graphical models
-
Zhang X., et al. Learning transcriptional regulatory relationships using sparse graphical models. PLoS ONE 2012, 7:e35762.
-
(2012)
PLoS ONE
, vol.7
-
-
Zhang, X.1
-
104
-
-
79959443658
-
CcSVM: correcting support vector machines for confounding factors in biological data classification
-
Li L., et al. ccSVM: correcting support vector machines for confounding factors in biological data classification. Bioinformatics 2011, 27:i342-i348.
-
(2011)
Bioinformatics
, vol.27
, pp. i342-i348
-
-
Li, L.1
-
105
-
-
70649114623
-
Navigating random forests and related advances in algorithmic modeling
-
Siroky D.S. Navigating random forests and related advances in algorithmic modeling. Stat. Surv. 2009, 3:147-163.
-
(2009)
Stat. Surv.
, vol.3
, pp. 147-163
-
-
Siroky, D.S.1
-
106
-
-
84908508461
-
Putting big data to good use in neuroscience
-
Sejnowski T.J., et al. Putting big data to good use in neuroscience. Nat. Neurosci. 2014, 17:1440-1441.
-
(2014)
Nat. Neurosci.
, vol.17
, pp. 1440-1441
-
-
Sejnowski, T.J.1
-
107
-
-
0002015259
-
The principles of classification and a classification of mammals
-
Simpson G.G. The principles of classification and a classification of mammals. Bull. Am. Mus. Nat. Hist. 1945, 85:22-24.
-
(1945)
Bull. Am. Mus. Nat. Hist.
, vol.85
, pp. 22-24
-
-
Simpson, G.G.1
-
108
-
-
84920113483
-
Neuronal cell types and connectivity: lessons from the retina
-
Seung H.S., Sümbül U. Neuronal cell types and connectivity: lessons from the retina. Neuron 2014, 83:1262-1272.
-
(2014)
Neuron
, vol.83
, pp. 1262-1272
-
-
Seung, H.S.1
Sümbül, U.2
-
109
-
-
0018015137
-
Modeling by shortest data description
-
Rissanen J. Modeling by shortest data description. Automatica 1978, 14:465-658.
-
(1978)
Automatica
, vol.14
, pp. 465-658
-
-
Rissanen, J.1
-
110
-
-
0002593344
-
Multi-interval discretization of continuous-valued attributes for classification learning
-
Morgan Kaufmann, D. Heckerman, E.H. Mamdani (Eds.)
-
Fayyad U., Irani K. Multi-interval discretization of continuous-valued attributes for classification learning. Proceedings of the International Joint Conference on Uncertainty in Artificial Intelligence 1993, 1022-1027. Morgan Kaufmann. D. Heckerman, E.H. Mamdani (Eds.).
-
(1993)
Proceedings of the International Joint Conference on Uncertainty in Artificial Intelligence
, pp. 1022-1027
-
-
Fayyad, U.1
Irani, K.2
-
111
-
-
0000120766
-
Estimating the dimension of a model
-
Schwarz G.E. Estimating the dimension of a model. Ann. Stat. 1978, 6:461-464.
-
(1978)
Ann. Stat.
, vol.6
, pp. 461-464
-
-
Schwarz, G.E.1
-
112
-
-
0034303585
-
Neuronal specification in the spinal cord: inductive signals and transcriptional codes
-
Jessel T.M. Neuronal specification in the spinal cord: inductive signals and transcriptional codes. Nat. Rev. Genet. 2000, 1:20-29.
-
(2000)
Nat. Rev. Genet.
, vol.1
, pp. 20-29
-
-
Jessel, T.M.1
-
113
-
-
84899657155
-
Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning
-
Vogelstein J.T., et al. Discovery of brainwide neural-behavioral maps via multiscale unsupervised structure learning. Science 2014, 344:386-392.
-
(2014)
Science
, vol.344
, pp. 386-392
-
-
Vogelstein, J.T.1
-
114
-
-
84892608163
-
Interneuron cell types are fit to function
-
Kepecs A., Fishell G. Interneuron cell types are fit to function. Nature 2014, 505:318-326.
-
(2014)
Nature
, vol.505
, pp. 318-326
-
-
Kepecs, A.1
Fishell, G.2
|