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Number of items: 66.

A

Ahrens, M; Huys, Q; Paninski, L; (2006) Large-scale biophysical parameter estimation in single neurons via constrained linear regression. In: Weiss, Y and Schoelkopf, B and Platt, J, (eds.) (Proceedings) Advances in Neural Information Processing (NIPS). (pp. 25 - 32). MIT Press

Ahrens, MB; Linden, JF; Sahani, M; (2006) Multilinear spectrotemporal models for predicting auditory cortical responses. In: Association for Research in Otolaryngology Abstracts. (pp. 294 - ?).

Averbeck, BB; Latham, PE; Pouget, A; (2006) Neural correlations, population coding and computation. NAT REV NEUROSCI , 7 (5) 358 - 366. 10.1038/nrn1888.

B

Badnell, NR; Bautista, MA; Mendoza, C; Berrington, KA; Burke, VM; Butler, K; ... Zeippen, CJ; + view all (2006) Iron project: Atomic data for IR lines. Proceedings of the International Astronomical Union , 2 (234) 211 - 218. 10.1017/S1743921306002997.

Berkes, P; Wiskott, L; (2006) On the analysis and interpretation of inhomogeneous quadratic forms as receptive fields. Neural Computation , 18 (8) 1868 - 1895.

Berkes, P; Zito, T; (2006) MDP 2.0 - A data processing framework for scientific development and education. In: Proc. Europython 2006.

Blaschke, T; Berkes, P; Wiskott, L; (2006) What is the relation between slow feature analysis and independent component analysis? Neural Computation , 18 (10) 2495 - 2508.

Borgwardt, K; Gretton, A; Rasch, M; Kriegel, H-P; Schoelkopf, B; Smola, A; (2006) Integrating structured biological data by Kernel Maximum Mean Discrepancy. Bioinformatics (ISMB) , 22 , Article 14.

Brooks, A; Van der Zwan, R; Billard, A; Petreska, B; Clarke, S; Blanke, O; (2006) What you hear affects how you see: Multisensory integration in the detection of biological motion cues. AUST J PSYCHOL , 58 65 - 65.

D

Davy, M; Desobry, F; Gretton, A; Doncarli, C; (2006) An Online Support Vector Machine for Abnormal Events Detection. Signal Processing , 86 , Article 8.

Daw, N; Courville, AC; Touretzky, D; (2006) Representation and Timing in theories of the Dopamine System. Neural Computation , 18 1637 - 1677.

Daw, ND; O'Doherty, JP; Dayan, P; Seymour, B; Dolan, RJ; (2006) Cortical substrates for exploratory decisions in humans. NATURE , 441 (7095) 876 - 879. 10.1038/nature04766. Gold open access

Dayan, P; (2006) Images, frames, and connectionist hierarchies. NEURAL COMPUT , 18 (10) 2293 - 2319.

Dayan, P; Niv, Y; Seymour, B; Daw, ND; (2006) The misbehavior of value and the discipline of the will. NEURAL NETWORKS , 19 (8) 1153 - 1160. 10.1016/j.neunet.2006.03.002.

Dayan, P; Williams, J; (2006) Putting the computation back into computational modeling. Pharmapsychiatry , 39 (1) 50 - 51.

Dayan, P; Williams, J; (2006) Putting the computation back into computational modeling. PHARMACOPSYCHIATRY , 39 S50 - S51. 10.1055/s-2006-931494.

Dayan, P; Yu, AJ; (2006) Phasic norepinephrine: A neural interrupt signal for unexpected events. NETWORK-COMP NEURAL , 17 (4) 335 - 350. 10.1080/09548980601004024.

Dayan, P; Yu, AJ; (2006) Phasic norepinephrine: a neural signal for unexpected events. Network: Computation in Neural Systems , 17 (4) 335 - 350.

De Lucia, M; Fritschy, J; Holder, DS; Dayan, P; (2006) The classification of spikes in EEG recordings using features derived from ICA. IET Conference Publications (520) 39 - 39. 10.1049/cp:20060397.

F

Fukumizu, K; Bach, F; Gretton, A; (2006) Statistical Convergence of Kernel CCA. In: Weiss, Y and Schoelkopf, B and Platt, J, (eds.) Advances in Neural Information Processing Systems 18. (pp. 387 - 394). MIT Press: Cambridge, MA, USA.

G

Grabska-Barwinska, A; Zygierewicz, J; (2006) A model of event-related EEG synchronization changes in beta and gamma frequency bands. J THEOR BIOL , 238 (4) 901 - 913. 10.1016/j.jtbi.2005.07.001.

Gretton, A; Belitski, A; Murayama, Y; Schoelkopf, B; Logothetis, N; (2006) The effect of artifacts on dependence measurement in fMRI. Magnetic Resonance Imaging , 24 , Article 4.

Gruber, AJ; Dayan, P; Gutkin, BS; Solla, SA; (2006) Dopamine modulation in the basal ganglia locks the gate to working memory. J COMPUT NEUROSCI , 20 (2) 153 - 166. 10.1007/s10827-005-5705-x.

H

Hinton, G; Osindero, S; Welling, M; Teh, YW; (2006) Unsupervised discovery of nonlinear structure using contrastive backpropagation. COGNITIVE SCI , 30 (4) 725 - 731.

Hinton, GE; Osindero, S; Teh, YW; (2006) A fast learning algorithm for deep belief nets. NEURAL COMPUT , 18 (7) 1527 - 1554.

Huys, Q; Ahrens, M; Paninski, L; (2006) Efficient estimation of detailed single-neuron models. Journal of Neurophysiology , 96 (2) 872 - 980.

Huys, Q; Dayan, P; (2006) malignant evaluation :: reinforcement learning, neuromodulation and depression. In: (Proceedings) Computational Systems Neuroscience (CoSyNe).

Huys, Q; Dayan, P; (2006) optimal helplessness: a normative framework for depression. In: (Proceedings) Organization for Computational Neurosciences.

Huys, Q; Dayan, P; (2006) Optimal learning: a route to depression? In: (Proceedings) Nature Medicine-Roche Conference on Translational Psychiatry.

J

Jeong, HY; Gutkin, BS; (2006) On the Role of GABA Reversal Potential in Synchrony. Neurocomputing

L

Latham, P; Pouget, A; (2006) Computing with population codes. In: Doya, K and Ishii, S and Pouget, A and Rao, R, (eds.) Bayesian Brain. MIT Press: Csmbridge.

Laub, J; Macke, J; Müller, K-R; Wichmann, FA; (2006) Inducing Metric Violations in Human Similarity Judgements. In: Schölkopf, B and Platt, JC and Hoffman, T, (eds.) NIPS. (pp. 777 - 784). MIT Press

Lücke, J; (2006) Exclusive Causes Analysis. (Gatsby Technical Report ).

Lücke, J; (2006) Learning of Representations in a Canonical Model of Cortical Columns. In: COSYNE 2006.

Lücke, J; von der Malsburg, C; (2006) Rapid Correspondence Finding in Networks of Cortical Columns. In: Kollias, S and Stafylopatis, A and Duch, W and Oja, E, (eds.) LNCS. (pp. 668 - 677). Springer: Berlin Heidelberg.

Lee, WS; Zhang, X; Teh, YW; (2006) Semi-supervised Learning in Reproducing Kernel Hilbert Spaces Using Local Invariances.

Lerchner, A; Sterner, G; Hertz, J; Ahmadi, M; (2006) Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex. NETWORK-COMP NEURAL , 17 (2) 131 - 150. 10.1080/09548980500444933.

Lerchner, A; Ursta, C; Hertz, J; Ahmadi, M; Ruffiot, P; Enemark, S; (2006) Response variability in balanced cortical networks. NEURAL COMPUT , 18 (3) 634 - 659.

M

Ma, WJ; Beck, JM; Latham, PE; Pouget, A; (2006) Bayesian inference with probabilistic population codes. Nature Neuroscience , 9 (11) 1432 - 1438. 10.1038/nn1790.

Martinez-Conde, S; Macknik, SL; Troncoso, XG; Dyar, TA; (2006) Microsaccades Counteract Visual Fading During Fixation. Neuron , 49 297 - 305.

N

Natarajan, R; Huys, Q; Dayan, P; Zemel, RS; (2006) Dynamic population codes for sensorimotor processing. In: (Proceedings) Computational Systems Neuroscience (CoSyNe).

Niv, Y; Daw, ND; Dayan, P; (2006) Choice values. NAT NEUROSCI , 9 (8) 987 - 988. 10.1038/nn0806-987.

Niv, Y; Joel, D; Dayan, P; (2006) A normative perspective on motivation. TRENDS COGN SCI , 10 (8) 375 - 381. 10.1016/j.tics.2006.06.010.

P

Petreska, B; Billard, AG; (2006) A neurocomputational model of an imitation deficit following brain lesion. In: Kollias, S and Stafylopatis, A and Duch, W and Oja, E, (eds.) ARTIFICIAL NEURAL NETWORKS - ICANN 2006, PT 1. (pp. 770 - 779). SPRINGER-VERLAG BERLIN

S

Schwartz, O; Sejnowski, TJ; Dayan, P; (2006) Soft mixer assignment in a hierarchical generative model of natural scene statistics. NEURAL COMPUT , 18 (11) 2680 - 2718.

Shen, H; Jegelka, S; Gretton, A; (2006) Geometric Analysis of Hilbert Schmidt Independence criterion based ICA contrast function.

Szabo, Z; Lorincz, A; (2006) Real and Complex Independent Subspace Analysis by Generalized Variance. In: ICA Research Network International Workshop (ICARN). (pp. 85 - 88). Green open access
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Szabo, Z; Lőrincz, A; (2006) Epsilon-Sparse Representations: Generalized Sparse Approximation and the Equivalent Family of SVM Tasks. Acta Cybernetica , 17 (3) 605 - 614.

Szabo, Z; Póczos, B; Lőrincz, A; (2006) Separation Theorem for Independent Subspace Analysis with Sufficient Conditions. : Eötvös Loránd University, Budapest.

Szabo, Z; Póczos, B; Lőrincz, A; (2006) Theorem for K-Independent Subspace Analysis with Sufficient Conditions. : Eötvös Loránd University, Budapest.

Szabo, Z; Póczos, B; Lőrincz, A; (2006) Cross-Entropy Optimization for Independent Process Analysis. In: Rosca, J and Erdogmus, D and Príncipe, J and Haykin, S, (eds.) Independent Component Analysis and Blind Signal Separation: . Proceedings of the 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006. (pp. 909 - 916). Springer Green open access
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T

Teh, Y.W.; (2006) A hierarchical Bayesian language model based on Pitman-Yor processes. In: Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL. (pp. pp. 993-1000). Association for Computational Linguistics: Morristown, US.

Teh, YW; (2006) A Bayesian Interpretation of Interpolated Kneser-Ney. : School of Computing, National University of Singapore.

Teh, YW; (2006) A Hierarchical Bayesian Language Model based on Pitman-Yor Processes. In: COLING/ACL 2006, VOLS 1 AND 2, PROCEEDINGS OF THE CONFERENCE. (pp. 985 - 992). ASSOC COMPUTATIONAL LINGUISTICS-ACL

Teh, YW; Jordan, MI; Beal, MJ; Blei, DM; (2006) Hierarchical Dirichlet processes. J AM STAT ASSOC , 101 (476) 1566 - 1581. 10.1198/016214506000000302.

Teh, YW; Newman, D; Welling, M; (2006) A Collapsed Variational Bayesian Inference Algorithm for Latent Dirichlet Allocation. In: Schölkopf, B and Platt, JC and Hoffman, T, (eds.) NIPS. (pp. 1353 - 1360). MIT Press

Troncoso, X; (2006) The Role of Corner Angle in Visual Physiology and Brightness Perception. UNSPECIFIED thesis, UNSPECIFIED.

W

Whiteley, LE; Sahani, M; (2006) Observers' decisions in a simple visual task are consistent with Bayesian processing of early perceptual uncertainty. In: COSYNE 2006. (pp. 243 - ?).

Witthoeft, MC; Badnell, NR; Del Zanna, G; Berrington, KA; Pelan, JC; (2006) Atomic data from the IRON project LX. Electron-impact excitation of n=3, 4 levels of Fe(17+). ASTRONOMY & ASTROPHYSICS , 446 (1) 361 - 366. 10.1051/0004-6361:20053631.

X

Xing, EP; Sohn, K-A; Jordan, MI; Teh, YW; (2006) Bayesian multi-population haplotype inference via a hierarchical dirichlet process mixture. In: Cohen, WW and Moore, A, (eds.) ICML. (pp. 1049 - 1056). ACM

Y

Yarrow, K; Whiteley, L; Haggard, P; Rothwell, JC; (2006) Biases in the perceived timing of perisaccadic perceptual and motor events. PERCEPT PSYCHOPHYS , 68 (7) 1217 - 1226.

Yarrow, K; Whiteley, L; Rothwell, JC; Haggard, P; (2006) Spatial consequences of bridging the saccadic gap. VISION RES , 46 (4) 545 - 555. 10.1016/j.visres.2005.04.019. Gold open access

Yarrow, K.; Whiteley, L.; Haggard, P.; Rothwell, J.C.; (2006) Biases in the perceived timing of perisaccadic perceptual and motor events. Perception and Psychophysics , 68 (7) pp. 1217-1226.

Yu, BM; Afshar, A; Santhanam, G; Ryu, S; Shenoy, KV; Sahani, M; (2006) Extracting dynamical structure embedded in neural activity. In: Weiss, Y and Schölkopf, B and Platt, J, (eds.) (Proceedings) Advances in Neural Information Processing Systems. MIT Press: Cambridge, MA.

Yu, BM; Shenoyl, KV; Sahani, M; (2006) Expectation propagation for inference in non-linear dynamical models with poisson observations. In: NSSPW: NONLINEAR STATISTICAL SIGNAL PROCESSING WORKSHOP. (pp. 83 - 86). IEEE

Z

Zhaoping, L; Dayan, P; (2006) Pre-attentive visual selection. NEURAL NETWORKS , 19 (9) 1437 - 1439. 10.1016/j.neunet.2006.09.003. Green open access
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This list was generated on Sun Aug 24 04:34:22 2014 BST.