Suchergebnisse

Forschungspapier (11)

1241.
Forschungspapier
Noei, S.; Zouridis, I.; Logothetis, N.; Panzeri, S.; Totah, N.: Distinct ensembles in the noradrenergic locus coeruleus evoke diverse cortical states. (eingereicht)
1242.
Forschungspapier
Safavi, S.; Logothetis, N.; Besserve, M.: From univariate to multivariate coupling between continuous signals and point processes: a mathematical framework. (eingereicht)
1243.
Forschungspapier
Noei, S.; Zouridis, I.; Logothetis, N.; Panzeri, S.; Totah, N.: Noradrenergic locus coeruleus ensembles evoke different states in rat prefrontal cortex. (eingereicht)
1244.
Forschungspapier
Dwarakanath, A.; Kapoor, V.; Werner, J.; Safavi, S.; Fedorov, L.; Logothetis, N.; Panagiotaropoulos, F.: Prefrontal state fluctuations control access to consciousness. (eingereicht)
1245.
Forschungspapier
Kapoor, V.; Dwarakanath, A.; Safavi, S.; Werner, J.; Besserve, M.; Panagiotaropoulos, F.; Logothetis, N.: Decoding the contents of consciousness from prefrontal ensembles. (eingereicht)
1246.
Forschungspapier
Zaidi, A.; Birbaumer, N.; Fetz, E.; Logothetis, N.; Sitaram, R.: The hemodynamic initial-dip consists of both volumetric and oxymetric changes correlated to localized spiking activity. (eingereicht)
1247.
Forschungspapier
Zaidi, A.; Birbaumer, N.; Fetz, E.; Logothetis, N.; Sitaram, R.: The timing of hemodynamic changes reliably reflects spiking activity. (eingereicht)
1248.
Forschungspapier
Lakshminarasimhan, K.; Logothetis, N.; Keliris, G.: Local differences in neuronal activation level decorrelate spatially coherent global fluctuations in gamma rhythms. (eingereicht)

Bericht (9)

1249.
Bericht
Gretton, A.; Smola, A.; Bousquet, O.; Herbrich, R.; Schölkopf, B.; Logothetis, N.: Behaviour and Convergence of the Constrained Covariance (Technical Report of the Max Planck Institute for Biological Cybernetics, 130). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 18 S.
1250.
Bericht
Jayachandra, M.; Logothetis, N.; Pfeuffer, J.: Comparison of experimental and theoretical spiral MR trajectories (Technical Report of the Max Planck Institute for Biological Cybernetics, 129). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2004), 20 S.
1251.
Bericht
Nielsen, K.; Logothetis, N.; Rainer, G.: Psychophysical comparison of synthesis algorithms for natural images (Technical Report of the Max Planck Institute for Biological Cybernetics, 119). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 22 S.
1252.
Bericht
Treiber, S.; Juchem, C.; Logothetis, N.; Pfeuffer, J.: Simulation von Basisspektren zur Frequenzdomänenanalyse von in vivo 1H NMR-Spektren mittels LCModel: Simulation of Basis Spectra for Frequency Domain Analysis of in vivo 1H NMR Spectra using LCModel (Technical Report of the Max Planck Institute for Biological Cybernetics, 117). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 43 S.
1253.
Bericht
Leopold, D.; Fitzgibbons, J.; Logothetis, N.: The Role of Attention in Binocular Rivalry as Revealed through Optokinetic Nystagmus. MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 17 S.
1254.
Bericht
Logothetis, N.; Leopold, D.: On the Physiology of Bistable Percepts (C.B.C.L. Paper, AI Memo, No: 1553, 125). MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 18 S.
1255.
Bericht
Logothetis, N.; Pauls, J.; Poggio, T.: Spatial Reference Frames for Object Recognition: Tuning for Rotations in Depth. MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 17 S.
1256.
Bericht
Logothetis, N.; Pauls, J.; Poggio, T.: Viewer-Centered Object Recognition in Monkeys. Massachusetts Institute of Technology: Artificial Intelligence Laboratory and Center for Biological and Computational Learning Department of Brain and Cognitive Sciences, Cambridge, MA, USA (1994), 20 S.
1257.
Bericht
Logothetis, N.; Vetter, T.; Hurlbert, A.; Poggio, T.: View-based Models of 3D Object Recognition and Class-specific Invariances. Massachusetts Institute of Technology: Artificial Intelligence Laboratory and Center for Biological and Computational Learning Department of Brain and Cognitive Sciences, Cambridge, MA, USA (1994), 12 S.
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