Publications of P.

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31 publication entries, 21 of them (printed in bold in the list) acknowledge the project support.
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Book chapter
Conference contribution: poster

Paper (reviewed)

Bakker et al. 2015Bakker, R., Tiesinga, P. and Kötter, R.The Scalable Brain Atlas: Instant Web-Based Acces to Public Brain Atlases and Related ContentNeuroinformatics February (2015) 13(3):353-366
abstract, fulltext
Berthet and Lansner 2014Berthet, P. and Lansner, A.Optogenetic Stimulation in a Computational Model of the Basal Ganglia Biases Action Selection and Reward Prediction ErrorPLoS ONE (2014) 9(3): e90578
Blackman et al 2014A. V. Blackman, S. Grabuschnig, R. Legenstein, and P. J. SjöströmA comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modelingFrontiers in neuroanatomy (2014) : 8
abstract, fulltext
Dagnino et al. 2015Dagnino, B., Gariel-Mathis, M.-A. and Roelfsema, P. R. Microstimulation of area V4 has little effect on spatial attention and on the perception of phosphenes evoked in area V1Journal of Neurophysiology (2015) 113(3): 730-739
Deco at al. 2014bDeco, G., McIntosh, A.R., Shen, K., Hutchison, R.M., Menon, R.S., Everling, S., Hagmann, P. and Jirsa, V.K.Identification of Optimal Structural Connectivity Using Functional Connectivity and Neural ModelingThe Journal of Neuroscience (2014) 34(23): 7910-7916
Deco et al. 2013Deco,G., Ponce-Alvarez, A., Mantini, D., Romani, G.L., Hagmann, P. and Corbetta, M.Resting-state functional connectivity emerges from structurally and dynamically shaped slow linear fluctuationsJ. Neurosci. (2013) 33: 11239-11252
abstract, (fulltext)
Djurfeldt et al. 2014Djurfeldt, M., Davison, A.P. and Eppler, J.M. Efficient generation of connectivity in neuronal networks from simulator-independent descriptionsFront. Neuroinform. (2014) 8:43
Faye et al. 2011Faye, G., Chossat, P. and Faugeras, O.Analysis of a hyperbolic geometric model for visual texture perceptionThe Journal of Mathematical Neuroscience (2011) 1:4
fulltext, BibTeX
Galtier et al. 2012Galtier, M., Faugeras, O. and Bressloff, P. Hebbian Learning of Recurrent Connections: A Geometrical PerspectiveNeural Computation (2012) 24(9): 2346-2383
Garcia et al. 2014Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P.Neo: an object model for handling electrophysiology data in multiple formatsFront. Neuroinform. (2014) 8:10
abstract, fulltext
Hennequin et al. 2014Hennequin, G., Vogels, T.P. and Gerstner, W.Optimal Control of Transient Dynamics in Balanced Networks Supports Generation of Complex MovementsNeuron (2014) 82: 1394-1406
Hennequinet al 2012Hennequin, G., Vogels, T.P. and Gerstner, W.Non-normal amplification in random balanced neuronal networksPhysical Review E (2012) 86: 011909
Lundqvist et al. 2011aLundqvist, M., Herman, P. and Lansner, A.Theta and gamma power increases and alpha/beta power decreases with memory load in an attractor network modelJ Cogn Neurosci (2011) 23:3008-3020
Lundqvist et al. 2012Lundqvist, M., Herman, P. and Lansner, A.Variability of spike firing during theta-coupled replay of memories in a simulated attractor networkBrain Res (2012) 1434:152-161
Pooresmaeili and Roelfsema 2014Pooresmaeili, A. and Roelfsema, P. R. A Growth-Cone Model for the Spread of Object-Based Attention during Contour GroupingCurrent Biology (2014) 24(24): 2869-2877
Rankin et al. 2012Rankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P. Bifurcation analysis applied to a model of motion integration with a multistable stimulusJournal of Computational Neuroscience (2013) 34(1): 103-124
fulltext, BibTeX
Rankin et al. 2013aRankin, J., Tlapale, E., Veltz, R., Faugeras, O. and Kornprobst, P. Bifurcation analysis applied to a model of motion integration with a multistable stimulus Journal of Computational Neuroscience (2013) 34(1): 103-124
Rankin et al. 2013bRankin, J., Meso, A. I., Masson, G.S., Faugeras, O. and Kornprobst, P. Bifurcation study of a neural field competition model with an application to perceptual switching in motion integrationJournal of Computational Neuroscience (2013) September: 1-21
Rombouts et al. 2015bRombouts, J. O., Bohte, S. M., Martinez-Trujillo, J. and Roelfsema, P. R. A learning rule that explains how rewards teach attentionVisual Cognition (2015) 33:179-205
Savin et al. 2014Savin, C., Dayan, P. and Lengyel, M.
Optimal Recall from Bounded Metaplastic Synapses: Predicting Functional Adaptations in Hippocampal Area CA3PLoS Comput Biol (2014) 10(2): e1003489
Schmuker et al. 2014Schmuker, M., Pfeil, T. and Nawrot, M. P. A neuromorphic network for generic multivariate data classificationPNAS (2014) 111(6): 2081-2086
abstract, fulltext
Simoncini et al. 2012Simoncini, C., Perrinet, L.U., Montagnini, A., Mamassian, P. and Masson G.S.More is not always better: pooling motion information differently for perception or actionNature Neuroscience (2012) 15: 1596-1603
Tully et al. 2014Tully, P. J., Hennig, M. H. and Lansner, A.Synaptic and Nonsynaptic Plasticity Approximating Probabilistic InferenceFront. Synaptic Neurosci. (2014) 6:8
Vogels et al 2013T. P. Vogels, R. C. Froemke, N. Doyon, M. Gilson, J. S. Haas, R. Liu, A. Maffei, P. Miller, C. J. Wierenga, M. A. Woodin, F. Zenke and H. SprekelerInhibitory synaptic plasticity: spike timing-dependence and putative network functionFrontiers In Neural Circuits (2013) : 7

Book chapter

Crook et al. 2013Crook., S. M., Davison, A. P. and Plesser, H. E. Learning from the past: approaches for reproducibility in computational neuroscienceIn: J.M. Bower (Ed.), 20 Years of Computational Neuroscience, Springer, ISBN 978-1-4614-1423-0

Conference contribution: poster

Medathati, K.N.V., Rankin, J., Kornprobst, P. and Masson, G.S. A retinotopic neural fields model of perceptual switching in 2D motion integrationAnnual Bernstein Conference 24-27 september 2013, Tuebingen, Germany
Bachmannet al 2013Bachmann, C. ; Tetzlaff, T. ; Kunkel, S. ; Bamberger, P. ; Morrison, A.
Computational characteristics of recurrent neural networks under the influence of Alzheimer's disease
10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 03/13/2013 - 03/16/2013
Bachmannet al 2013bBachmann, C., Tetzlaff, T., Kunkel, S., Bamberger, P. and Morrison, A.
Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks
22nd Annual Computational Neuroscience Meeting, CNS*2013, Paris, France, 07/13/2013 - 07/18/2013
Lodi et al. 2013Lodi, M., Somogyi, P. and Kisvarday, Z. Synaptic targets of GABAergic fusiform cells in the cat primary visual cortexXVIII. Hungarian Vision Symposium, Pécs (2013)
Meso et al. 2013Meso, A., Rankin, J., Kornprobst, P. and Masson, G.S.Multi-stability in motion perception combines multiple underlying neural mechanismsCoSyne meeting. 1-4 March 2013, Salt-Lake City, USA.
Suzukiet al 2013Suzuki, M. ; Yamane, Y. ; Ito, J. ; Strokov, S. ; Fujita, I. ; Maldonado, P. ; Grün, S. ; Tamura, H.
Factors affecting human gaze behavior: an analysis with complex natural scenes with superimposed object images
36th European Conference on Visual Perception, ECVP2013, Bremen, Germany, 08/25/2013 - 08/29/2013


26 August 2016