Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 60

1.

Classifying GABAergic interneurons with semi-supervised projected model-based clustering.

Mihaljević B, Benavides-Piccione R, Guerra L, DeFelipe J, Larrañaga P, Bielza C.

Artif Intell Med. 2015 Jan 2. pii: S0933-3657(14)00148-1. doi: 10.1016/j.artmed.2014.12.010. [Epub ahead of print]

PMID:
25595673
2.

Multi-dimensional classification of GABAergic interneurons with Bayesian network-modeled label uncertainty.

Mihaljević B, Bielza C, Benavides-Piccione R, DeFelipe J, Larrañaga P.

Front Comput Neurosci. 2014 Nov 25;8:150. doi: 10.3389/fncom.2014.00150. eCollection 2014.

3.

Bayesian Network Classifiers for Categorizing Cortical GABAergic Interneurons.

Mihaljević B, Benavides-Piccione R, Bielza C, DeFelipe J, Larrañaga P.

Neuroinformatics. 2014 Nov 25. [Epub ahead of print]

PMID:
25420745
4.

Bayesian networks in neuroscience: a survey.

Bielza C, Larrañaga P.

Front Comput Neurosci. 2014 Oct 16;8:131. doi: 10.3389/fncom.2014.00131. eCollection 2014. Review.

5.

Comparing supervised learning methods for classifying sex, age, context and individual Mudi dogs from barking.

Larrañaga A, Bielza C, Pongrácz P, Faragó T, Bálint A, Larrañaga P.

Anim Cogn. 2015 Mar;18(2):405-21. doi: 10.1007/s10071-014-0811-7. Epub 2014 Oct 12.

PMID:
25308549
6.

Three-dimensional distribution of cortical synapses: a replicated point pattern-based analysis.

Anton-Sanchez L, Bielza C, Merchán-Pérez A, Rodríguez JR, DeFelipe J, Larrañaga P.

Front Neuroanat. 2014 Aug 26;8:85. doi: 10.3389/fnana.2014.00085. eCollection 2014.

7.

Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas.

Bielza C, Benavides-Piccione R, López-Cruz P, Larrañaga P, DeFelipe J.

Sci Rep. 2014 Aug 1;4:5909. doi: 10.1038/srep05909.

8.

Random positions of dendritic spines in human cerebral cortex.

Morales J, Benavides-Piccione R, Dar M, Fernaud I, Rodríguez A, Anton-Sanchez L, Bielza C, Larrañaga P, DeFelipe J, Yuste R.

J Neurosci. 2014 Jul 23;34(30):10078-84. doi: 10.1523/JNEUROSCI.1085-14.2014.

9.

Classification of neocortical interneurons using affinity propagation.

Santana R, McGarry LM, Bielza C, Larrañaga P, Yuste R.

Front Neural Circuits. 2013 Dec 3;7:185. doi: 10.3389/fncir.2013.00185. eCollection 2013.

10.

A new measure for gene expression biclustering based on non-parametric correlation.

Flores JL, Inza I, Larrañaga P, Calvo B.

Comput Methods Programs Biomed. 2013 Dec;112(3):367-97. doi: 10.1016/j.cmpb.2013.07.025. Epub 2013 Aug 19.

PMID:
24079964
11.

Bayesian sparse partial least squares.

Vidaurre D, van Gerven MA, Bielza C, Larrañaga P, Heskes T.

Neural Comput. 2013 Dec;25(12):3318-39. doi: 10.1162/NECO_a_00524. Epub 2013 Sep 18.

PMID:
24047319
12.

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach.

Armañanzas R, Bielza C, Chaudhuri KR, Martinez-Martin P, Larrañaga P.

Artif Intell Med. 2013 Jul;58(3):195-202. doi: 10.1016/j.artmed.2013.04.002. Epub 2013 May 25.

PMID:
23711400
13.

Machine learning approach for the outcome prediction of temporal lobe epilepsy surgery.

Armañanzas R, Alonso-Nanclares L, Defelipe-Oroquieta J, Kastanauskaite A, de Sola RG, Defelipe J, Bielza C, Larrañaga P.

PLoS One. 2013 Apr 30;8(4):e62819. doi: 10.1371/journal.pone.0062819. Print 2013.

14.

Antimicrobial activity of pleurocidin is retained in Plc-2, a C-terminal 12-amino acid fragment.

Souza AL, Díaz-Dellavalle P, Cabrera A, Larrañaga P, Dalla-Rizza M, De-Simone SG.

Peptides. 2013 Jul;45:78-84. doi: 10.1016/j.peptides.2013.03.030. Epub 2013 Apr 17.

15.

New insights into the classification and nomenclature of cortical GABAergic interneurons.

DeFelipe J, López-Cruz PL, Benavides-Piccione R, Bielza C, Larrañaga P, Anderson S, Burkhalter A, Cauli B, Fairén A, Feldmeyer D, Fishell G, Fitzpatrick D, Freund TF, González-Burgos G, Hestrin S, Hill S, Hof PR, Huang J, Jones EG, Kawaguchi Y, Kisvárday Z, Kubota Y, Lewis DA, Marín O, Markram H, McBain CJ, Meyer HS, Monyer H, Nelson SB, Rockland K, Rossier J, Rubenstein JL, Rudy B, Scanziani M, Shepherd GM, Sherwood CC, Staiger JF, Tamás G, Thomson A, Wang Y, Yuste R, Ascoli GA.

Nat Rev Neurosci. 2013 Mar;14(3):202-16. doi: 10.1038/nrn3444. Epub 2013 Feb 6.

16.

Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers.

Borchani H, Bielza C, Toro C, Larrañaga P.

Artif Intell Med. 2013 Mar;57(3):219-29. doi: 10.1016/j.artmed.2012.12.005. Epub 2013 Feb 1.

PMID:
23375464
17.

Three-dimensional spatial distribution of synapses in the neocortex: a dual-beam electron microscopy study.

Merchán-Pérez A, Rodríguez JR, González S, Robles V, Defelipe J, Larrañaga P, Bielza C.

Cereb Cortex. 2014 Jun;24(6):1579-88. doi: 10.1093/cercor/bht018. Epub 2013 Jan 30.

18.

Predicting dementia development in Parkinson's disease using Bayesian network classifiers.

Morales DA, Vives-Gilabert Y, Gómez-Ansón B, Bengoetxea E, Larrañaga P, Bielza C, Pagonabarraga J, Kulisevsky J, Corcuera-Solano I, Delfino M.

Psychiatry Res. 2013 Aug 30;213(2):92-8. doi: 10.1016/j.pscychresns.2012.06.001. Epub 2012 Nov 11.

PMID:
23149030
19.

A new feature extraction method for signal classification applied to cord dorsum potential detection.

Vidaurre D, Rodríguez EE, Bielza C, Larrañaga P, Rudomin P.

J Neural Eng. 2012 Oct;9(5):056009. Epub 2012 Aug 28.

20.
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Loading ...
Write to the Help Desk