Poster Session III
7:30pm Saturday 28th February
III-1. Fly VS neurons compared to optimized motion detectors B. Torben-Nielsen, R. Sinclair, K. M. Stiefel, Okinawa Institute of Science and Technology
III-2. Control of output gain in CA1 pyramidal cells using somatic shunting inhibition F. Fernandez, J. White, University of Utah
III-3. Gene expression analysis and metabolic optimization in cortical fast-spiking interneurons A. Hasenstaub, T. Sejnowski, E. Callaway, Crick-Jacobs Center, Salk Institute
III-4. Detection of extracellular potentials using a mechanical-based nanosensor A. Sadek, R. Karabalin, J. Du, M. Roukes, C. Koch, G. Laurent, S. Masmanidis, California Institute of Technology
III-5. Location of modulatory inputs influences the "scaling competence" of the NMDA channels. M. Jadi, B. Mel, University of Southern California
III-6. Localizing the origin of executive control over distributed processing to prefrontal cortex M. Chafee, S. Jain, R. Blackman, Dept. Neuroscience, University of Minnesota
III-7. Dynamic allocation of limited resources in human visual working memory P. Bays, M. Husain, University College London
III-8. Qualitative differences between decision-making for strongly and weakly attended stimuli D. Rahnev, B. Maniscalco, E. Huang, H. Lau, Columbia University
III-9. Anterior cingulate cortex encodes action-outcome associations in working memory C.-H. Luk, J. Wallis, University of California, Berkeley
III-10. Role of Medial Prefrontal Cortex and Secondary Motor Cortex in Withholding Impulsive Action M. Murakami, Z. Mainen, Champalimaud Neuroscience Programme
III-11. A spiking neural circuit model for conflict resolution between reflexive and voluntary responses C.-C. Lo, X.-J. Wang, National Tsing Hua University
III-12. Chronic stress affects decision-making strategies: structural and physiological correlates E. Dias-Ferreira, I. Melo, X. Jin, J. C. Sousa, J. J. Cerqueira, N. Sousa, R. Costa, National Institutes of Health
III-13. Dissociations in ensemble dynamics between rat dorsal striatum, ventral striatum, and hippocampus M. van der Meer, A. Johnson, N. Schmitzer-Torbert, A. D. Redish, University of Minnesota
III-14. Motor planning in the rat superior colliculus G. Felsen, Z. Mainen, Cold Spring Harbor Laboratory
III-15. Decision making without bounds? Evidence from humans and monkeys J. Gao, J. McClelland, A. Rorie, R. Tortell, W. Newsome, Stanford University
III-16. Abstract rule representations in a bilinear model. K. Krueger, P. Dayan, Gatsby Computational Neuroscience Unit, UCL
III-17. Causal model attribution in sequential decision making P. Schrater, C. S. Green, C. Benson, D. Kersten, University of Minnesota
III-18. Neurobiological foundations for "dual system" theory in decision making under uncertainty U. Beierholm, C. Anen, S. Quartz, P. Bossaerts, Gatsby Computational Neuroscience Unit, UCL
III-19. Active learning using uncertainty: behavioral evidence and neural correlates in rats A. Kepecs, N. Uchida, Z. Mainen, Cold Spring Harbor Laboratory
III-20. Dynamics of coupled thalamocortical modules J. Drover, N. Schiff, J. Victor, Weill Medical College of Cornell
III-21. Point Process Model for Precisely Timed Spike Trains I. Park, M. Rao, T. DeMarse, J. Principe, University of Florida
III-22. Using Brainbow and GRASP for detailed reconstruction of complete circuits with light microscopy Y. Mishchenko, Columbia University
III-23. Temporal precision of spikes in pulse-coupled networks of oscillating neurons J.-n. Teramae, T. Fukai, Brain Science Institute
III-24. Dynamics and cortical distribution of figure-ground activity in human visual cortex A. Norcia, V. Vildavski, R. Miller, Smith-Kettlewell Eye Research Institute
III-25. Extremely high-speed simulation of sparsely connected networks T. Sanger, Stanford University
III-26. Implementation of a probabilistic inference in a photoreceptor cell A. Houillon, P. Bessière, J. Droulez, CNRS/Collège de France
III-27. Transfer of correlations in neural oscillators A. Barreiro, E. Shea-Brown, E. Thilo, University of Washington
III-28. Neural mechanisms of visual motion integration and ego-motion estimation a modelling investigation F. Raudies, J. Bouecke, H. Neumann, University of Ulm
III-29. A Volterra kernel approach to non-linear functional connectivity R. Miller, V. Vildavski, A. Norcia, Smith-Kettlewell Eye Research Institute
III-30. A model shows how closed loop motor control can spontaneously develop in the rat whisker system L. Gruendlinger, M. Tsodyks, Weizmann Institute of Science
III-31. Complementary roles of the Left Posterior Parietal Lobe and Basal Ganglia in reference frame usage E. Torres, K. Heilman, H. Poizner, Rutgers University
III-32. Gaussian-process factor analysis for low-d single-trial analysis of neural population activity B. Yu, J. Cunningham, G. Santhanam, S. Ryu, K. Shenoy, M. Sahani, Stanford University
III-33. Rapid, scalable neuronal network simulations using MNet C. Acker, J. White, University of Connecticut Health Center
III-34. Prediction of pairwise maximum entropy model parameters by maximizing information J. Fitzgerald, T. Sharpee, University of California, San Diego, CTBP
III-35. Unsupervised learning of Lie group operators from image sequences J. Wang, J. Sohl-Dickstein, B. Olshausen, Redwood Center for Theoretical Neuroscience
III-36. Virtual brain reading: A neural network approach to understanding fMRI patterns. R. Cowell, G. Cottrell, University of Kent
III-37. Attention and location effects on spatial memory: Testing the predictions of a computational model X. Han, S. Becker, P. Byrne, M. Kahana, McMaster University
III-38. Speed versus accuracy in spiking attractor networks J.-P. Pfister, M. Lengyel, University of Cambridge
III-39. Entorhinal cortex - dentate gyrus system implements an optimal device for distance rep Z. Somogyvari, M. Bányai, Z. Huhn, T. Kiss, P. Erdi, KFKI Res. Inst. Particle and Nuclear Physics
III-40. Embedding multiple trajectories in recurrent neural networks in a self-organizing manner J. Liu, D. Buonomano, University of California, Los Angeles
III-41. An ecological basis for the oblique effect M. Falconbridge, D. MacLeod, Univeristy of California, San Diego
III-42. Low frequency oscillations facilitate STDP-based pattern learning and decoding T. Masquelier, E. Hugues, G. Deco, S. Thorpe, Universitat Pompeu Fabra
III-43. Modeling the interaction of biological elements involved in Hebbian and homeostatic plasticity T. Toyoizumi, K. Miller, Columbia University
III-44. Temporal difference learning does not always lead to STDP R. Florian, C. Rusu, Center for Cognitive and Neural Studies
III-45. Neural noise shapes perceptual landscapes for different forms of plasticity in perceptual learning C.-L. Teng, J. Gold, University of Virginia
III-46. Multiple timescales of reward memory in lateral habenula and midbrain dopamine neurons E. Bromberg-Martin, M. Matsumoto, K. Nakamura, H. Nakahara, O. Hikosaka, Brown University, Providence RI, USA
III-47. A single cell with active conductances can learn timing and multi-stability J. Gavornik, H. Shouval, The University of Texas
III-48. MI self- vs. instructed initiation of reaches during force-field learning: A multi-electrode study J. José, E. Torres, K. Ganguli, J. Carmena, SUNY at Buffalo
III-49. Central sources for acoustic variation in birdsong S. Sober, M. Brainard, University of California, San Francisco
III-50. Irregular vs. Synchronized activity in Basal Ganglia Circuits C. Park, R. Worth, L. Rubchinsky,
III-51. Ramping activity is an inefficient estimator of time intervals J. Kesseli, C. Machens, Ecole Normale Supérieure, Paris
III-52. Computing correlations analytically D. Barrett, P. Latham, Gatsby Computational Neuroscience Unit, UCL
III-53. A biophysical model of cortical tuning and invariance operations using a transient population code J. Mutch, U. Knoblich, T. Poggio, Massachusetts Institute of Technology
III-54. Towards fast in vivo neuronal imaging using objective coupled planar illumination microscopy D. Turaga, T. Holy, Washington University School of Medicine
III-55. Central roles of bipolar cells in retinal neural circuits. H. Asari, M. Meister, Harvard University
III-56. Detecting functional connectivity in networks of phase-coupled neural oscillators A. Huth, C. Cadieu, C. Dale, D. Weber, D. Pantazis, F. Darvas, R. Leahy, G. Simpson, K. Koepsell, University of California, Berkeley
III-57. Decoding center-surround interactions in population of neurons for the ocular following response L. Perrinet, N. Voges, J. Kremkow, M. Guillaume, INCM / CNRS - Univ. de la Méditerranée
III-58. Better luck next time: How prior behavioral outcomes influence network state in the frontal cortex N. Smith, N. Narayanan, M. Laubach, Yale University School of Medicine
III-59. Avalanches in simple stochastic spiking network models. E. Wallace, M. Benayoun, W. van Drongelen, J. Cowan, Dept. of Mathematics, University of Chicago
III-60. How the optic nerve allocates space, energy capacity and information J. Perge, K. Koch, R. Miller, P. Sterling, V. Balasubramanian, University of Pennsylvania
III-61. A neural circuit to read out the temporal population code A. Luvizotto, C. Renno-Costa, P. F. M. J. Verschure, SPECS - Universitat Pompeu Fabra
III-62. Withdrawn ,
III-63. Correlation transfer in neuronal populations J. Ma, K. Josic, A. Barua, R. Rosenbaum, F. Marpeau, University of Houston
III-64. Robust resolution of neuronal population dynamics on a single trial basis K. Miller, B. Jagadeesh, A. Hebb, J. Ojemann, R. Rao, Physics. University of Washington
III-65. Change-based inference in attractor nets: Linear analysis R. Moazzezi, P. Dayan, Gatsby Computational Neuroscience Unit, UCL
III-66. Bayesian Population Decoding of Spiking Neurons S. Gerwinn, J. Macke, M. Bethge, MPI for Biological Cybernetics
III-67. Contrast responses of P-cells and V1 neurons are optimized for a winner-takes-all encoding R. Martin, Y. Tadmor, K. Obermayer, Berlin Institute of Technology
III-68. Sampling and Optimal Cue Combination during Bistable Perception R. Moreno-Bote, D. Knill, A. Pouget, University of Rochester
III-69. Hierarchical novelty-familiarity representation in the visual cortex B. Vladimirskiy, W. Senn, R. Urbanczik, University of Bern
III-70. A sparse coding model with imperfect feed-forward circuitry W. Coulter, F. Sommer, University of California Berkeley
III-71. Comparison between decoding algorithms in open-loop and closed-loop performance S. Koyama, S. Chase, A. Whitford, M. Velliste, A. Schwartz, R. Kass, Carnegie Mellon University
III-72. Correlated physiological and perceptual effects of noise in a tactile stimulus A. Lak, E. Arabzadeh, J. Harris, M. Diamond, International School for Advanced Studies
III-73. Correlation-rate relation enhances information throughput in layer networks of spiking neurons B. Doiron, J. de la Rocha, E. Shea-Brown, K. Josic, A. Reyes, University of Pittsburgh
III-74. Map Dynamics for Rhythmically Perturbed Model Neurons J. Engelbrecht, K. Loncich, R. Mirollo, Boston College
III-75. Modeling adaptation in the auditory cortex to causally link neural synchrony to tinnitus M. Chrostowski, S. Becker, I. Bruce, McMaster University
III-76. The influence of theta (4-8Hz) structure in vocalizations on neural activity in auditory cortex H. Turesson, C. Chandrasekaran, A. Ghazanfar, Princeton University
III-77. Control of single neuron activity by global network dynamics in auditory cortex C. Curto, S. Sakata, S. Marguet, K. D. Harris, Courant Institute, NYU
III-78. The predictive power of spectrotemporal receptive fields at the single spike train level. J. Schumacher, D. Schneider, S. Woolley, Columbia University
III-79. Direction-dependence of inter- and intra-vibrissa adaptation in rat primary somatosensory cortex U. Knoblich, C. Moore, McGovern Institute for Brain Research
III-80. Fast and dynamic odor encoding in rat olfactory cortex during odor discrimination task K. Miura, Z. Mainen, N. Uchida, Japan Science and Technology Agency
III-81. Radial orientation and direction biases in the response of human visual cortex to kinetic contours C. Clifford, D. Mannion, S. McDonald, School of Psychology, University of Sydney
III-82. Bayesian estimation of orientation preference maps J. Macke, S. Gerwinn, L. White, M. Kaschube, M. Bethge, MPI for Biological Cybernetics
III-83. Distinct laminar zones of coherent local field potentials in monkey V1 A. Maier, G. Adams, C. Aura, D. Leopold, National Institutes of Health
III-84. Spatially periodic activity without periodic connectivity requires an inhibition-stabilized network D. Rubin, K. Miller, Columbia University
III-85. A dynamic receptive field of a motion-sensitive neuron in the fly F. Weber, C. Machens, A. Borst, Max Planck Institute of Neurobiology
III-86. Estimating surface structure and eye position from local derivatives of the disparity vector field J. Read, Institute of Neuroscience
III-87. A Feed Forward-Lateral Inhibition Dynamical Model of Predictive Remapping of the Tilt Aftereffect A. Ashourvan, J. Brown, N. Port,
III-88. A model for the distortions of space and time perception during saccades G. M. Cicchini, P. Binda, M. C. Morrone, Università Vita-Salute San Raffaele Milan
III-89. Local fourth-order statistics in natural scenes predict the saliency of synthetic textures G. Tkacik, J. Prentice, J. Victor, V. Balasubramanian, University of Pennsylvania
III-90. Population coding of ground truth motion in natural scenes in the early visual system G. Stanley, M. Black, J. Lewis, G. Desbordes, J. Jin, J.-M. Alonso, Georgia Institute of Technology
III-91. Speed sensitive excitation shapes the tuning of a collision-detecting neuron P. Jones, F. Gabbiani, Baylor College of Medicine
III-92. Reading the minds eye: Decoding object information during mental imagery from fMRI patterns T. Serre, L. Reddy, N. Tsuchiya, T. Poggio, M. Fabre-Thorpe, C. Koch, Massachusetts Institute of Technology
III-93. A Gamma-phase Model of Receptive Field Formation D. Ballard, University of Texas
III-94. Complex cells in the early visual cortex have multiple disparity detectors in the 3D binocular RFs K. Sasaki, Y. Tabuchi, I. Ohzawa, Osaka University
III-95. FEF neural responses during uninstructed, optimal eye movements in a free-viewing scan task T. Desrochers, A. Graybiel, Massachusetts Institute of Technology
III-96. Contrast dependence of spatial frequency tuning in macaque LGN S. Sokol, N. Dhruv, J. A. Movshon, New York University
III-97. Decoding sequences of population responses in visual cortex A. Benucci, L. Busse, S. Katzner, M. Carandini, University College London
III-98. Is Sensory Processing about Detecting Abrupt Changes in the Sensory World? N. Bouaouli, S. Deneve, Ecole Normale Supérieure, Paris
III-99. Wireless Recording from the Cortex of a Freely Roaming Rat T. A. Szuts, V. Fadeyev, A. Leifer, W. Dabrowski, N. Uchida, A. Litke, M. Meister, Harvard University
III-100. Sensory adaptation as an optimal redistribution of neural resources S. Gepshtein, L. Lesmes, I. Tyukin, T. Albright, The Salk Institute, USA
