| II-1 | Multitasking of attention and working memory signals in prefrontal cortex, Adam Messinger, Mikhail Lebedev, Jerald Kralik, Steven Wise |
| II-2 | Decision-theoretic saliency: Computational principles and implications for pre-attentive vision, Dashan Gao, Nuno Vasconcelos |
| II-3 | Spatial attention in early vision for the perception of border ownership, Nobuhiko Wagatsuma, Ko Sakai |
| II-4 | Neural circuits for attending to salient proto-objects, Dirk Walther |
| II-5 | Selective attention integrates sparse and population codes, Albert Rothenstein, John Tsotsos |
| II-6 | Disruption of balanced cortical inhibition by acoustic trauma, Michael Wehr, Ben Scholl |
| II-7 | Differences in subthreshold oscillations map to differences in periodicity of grid cells, Lisa Giocomo, Eric Zilli, Michael Hasselmo |
| II-8 | Prediction and validation of a novel allosteric kinetics of NMDARs as a spike-timing detector, Shinya Kuroda, Hidetoshi Urakubo, Robert Froemke |
| II-9 | Model-based smoothing of noisy, intermittent biophysical signals, Latham Peter, Quentin Huys, Liam Paninski |
| II-10 | Bayesian sampling techniques to combine physiological data with prior knowledge, Beau Cronin, James Schummers, Konrad Körding |
| II-11 | Learning horizontal connections from the statistics of natural images, Pierre Garrigues, Bruno Olshausen |
| II-12 | Higher order effects by shunting inhibition in reduction of conductance based network models to rate models, Masafumi Oizumi, Yoichi Miyawaki, Masato Okada |
| II-13 | Learning in a generative model with competitive combination is approximated by (soft-) winner-take-all networks, Jörg Lücke, Maneesh Sahani |
| II-14 | Evoked brain responses are mediated by feedback loops, Marta Garrido, James Kilner, Stefan Kiebel, Karl Friston |
| II-15 | Time scale dependence of neuronal correlations, Tom Tetzlaff, Stefan Rotter, Ad Aertsen, Markus Diesmann |
| II-16 | Analysis of a self-organizing system for visual correspondence, Junmei Zhu, Christoph von der Malsburg |
| II-17 | Learning sparse and invariant features hierarchies, Marc'Aurelio Ranzato, Y-Lan Boureau, Fu Jie Huang, Yann LeCun |
| II-18 | Dynamic causal modelling of fMRI with neural mass models, Andre Marreiros, Stefan Kiebel, Karl Friston |
| II-19 | Multilinear neural encoding models capture nonlinearities and contextual effects in cortical responses, Misha Ahrens, Liam Paninski, Rasmus Petersen, Jennifer Linden, Maneesh Sahani |
| II-20 | Nonlinear dynamics underlying slow oscillation in dopamine neurons of the ventral tegmental area, Hansem Sohn, Wei-Xing Shi, Bradley Peterson, Jaeseung Jeong |
| II-21 | A biologically realistic model of statistical inference applied to random dot motion, Chris Eliasmith, James Martens |
| II-22 | Event driven transitions between attractors in spiking networks, Stefano Fusi, Maurizio Mattia, Mattia Rigotti |
| II-23 | Optimality of active sensing, Emanuel Todorov, Alex Simkins |
| II-24 | Statistics of irregular bursting, Georgi Medvedev |
| II-25 | How coupling affects the reliability of driven theta neurons, Eric Shea-Brown, Kevin Lin, Lai-Sang Young |
| II-26 | Learning complex structures of images through recursive independent component analysis, Honghao Shan, Lingyun Zhang, Garrison Cottrell |
| II-27 | Modeling neural spiking with point processes nonparametrically: A convex optimization approach, Todd Coleman, Sridevi Sarma |
| II-28 | Input-driven dynamic attractors, Hava Siegelmann, Lars Holzman |
| II-29 | Correlation between neural spike trains increases with firing rate, Brent Doiron, Jaime de la Rocha, Eric Shea-Brown, Krešimir Josic, Alex Reyes |
| II-30 | Emerged representation invariance through neuron position and dendritic shape, Eyal Krupka, Naftali Tishby |
| II-31 | Innate visual learning through spontaneous patterns of activity, Mark Albert, David Field, Adam Schnabel |
| II-32 | Inferring the structure of populations of neurons using a sequential Monte Carlo EM algorithm, joshua vogelstein, kechen zhang, bruno jedynak, Liam Paninski |
| II-33 | Towards real-time, mouse-scale cortical simulations, Dharmendra Modha, James Frye, Rajagopal Ananthanarayanan |
| II-34 | Bayesian reinforcement learning and sensory decision-making, Erick Chastain, Rajesh Rao |
| II-35 | Computations underlying decisions between multiple directions of motion, Jochen Ditterich |
| II-36 | Tuning ramping activity and reaction time by balanced synaptic input in a decision making circuit, Chung-Chuan Lo, Alireza Soltani, Xiao-Jing Wang |
| II-37 | Temporal integration of balanced excitatory and inhibitory inputs, Hiroshi Okamoto, Tomoki Fukai |
| II-38 | Optimal decision-making with probabilistic population codes, Wei Ji Ma, Jeffrey Beck, Alexandre Pouget |
| II-39 | Decoding the outcome of free decisions before they reach awareness, John-Dylan Haynes, Chun Siong Soon, Marcel Brass |
| II-40 | Uncertainty representation in Orbitofrontal Cortex during decision-making in rats, Kepecs Adam, Naoshige Uchida, Zachary Mainen |
| II-41 | Flexible shaping, Kai Krueger, Peter Dayan |
| II-42 | Simultaneous recording of single units from the primate amygdala and midbrain dopamine neurons during probabilistic appetitive and aversive conditioning, Joseph Paton, C. Daniel Salzman |
| II-43 | Encoding of stimulus value in primate orbitofrontal cortex and amygdala during reinforcement learning, Sara Morrison, C. Daniel Salzman |
| II-44 | Synaptic models for slow memory decay, Amit Miller, Latham Peter |
| II-45 | Optimal eye-movement paths emerge as monkeys perform a free-viewing scan task, Theresa Feledy, Joseph Feingold, Dezhe Jin, Ann Graybiel |
| II-46 | Shape your liquid with plasticity!, Andreea Lazar, Gordon Pipa, Jochen Triesch |
| II-47 | Perceptual learning as improved Bayesian inference in early sensory areas, Vikranth Bejjanki, Wei Ji Ma, Jeffrey Beck, Alexandre Pouget |
| II-48 | Differential effects of aging and learning processes on cortical interaction, Hubert Dinse, Claudia Wilimzig, Burkhard Pleger, Patrick Ragert, Tobias Kalisch, Martin Tegenthoff |
| II-49 | Neural signals in primate amygdala discriminate among gradations of value, Marina Belova, Joseph Paton, C. Daniel Salzman |
| II-50 | Induction and binary expression of LTP/LTD in a minimal model of the CaMKII kinase-phosphatase system, Michael Graupner, Nicolas Brunel |
| II-51 | Tuning for criticality: A new hypothesis for sleep, Barak Pearlmutter, Conor Houghton |
| II-52 | Neuromodulation and plasticity of the adult auditory cortex, Robert Froemke, Philip Levis, Michael Merzenich, Christoph Schreiner |
| II-53 | Capacity enhancing mechanisms in a hippocampal online learning model, Xundong Wu, Bartlett Mel |
| II-54 | Noise based memories, Daniel Ben Dayan Rubin, Stefano Fusi |
| II-55 | Working memory associated differential inhibitions describe categorized negative priming effects, Dongil Chung, Seungyeon Kim, Jaewon Lee, Amir Raz, Jaeseung Jeong |
| II-56 | Caching and replay of place sequences in a temporal restricted Boltzmann Machine hippocampal model, Sue Becker, Geoffrey Hinton |
| II-57 | Memory traces in normal neural networks, Ben Dongsung Huh, Surya Ganguli, Haim Sompolinksy |
| II-58 | Sensory-to-motor transformation: Temporal coordination in dual tasks, Megi Sharikadze, Dung Cong-Khac, Heiner Deubel, Werner Wolf |
| II-59 | Bayesian integration of motor plans across multiple reference frames predicts eye-centered reach errors, Leah McGuire, Philip N. Sabes |
| II-60 | Integrating sensory integration and adaptation: Statistical and network models, Philip N. Sabes, Ali Ghazizadeh |
| II-61 | Diverse and precise tuning of neuronal activity in serotonergic brainstem nuclei, Sachin Ranade, Zachary Mainen |
| II-62 | A second-order maximum entropy model predicts correlated network states, but not their evolution over time, John Beggs, aonan tang, Jon Hobbs, Wei Chen |
| II-63 | Are cortical networks balanced?, John Hertz |
| II-64 | Illuminating cell identity during in vivo recordings, Susana Lima-Mainen, Anthony Zador |
| II-65 | Response variability of type-1 neurons to periodic and random pulsatile input, ramana dodla, Charles Wilson |
| II-66 | Oscillatory circuits underlying the retinal detection of temporal periodic pattern, Juan Gao, Greg schwartz, Michael Berry, Philip Holmes |
| II-67 | Coupling inhibitory populations: From phase-locking to chaos, Demian Battaglia, Nicolas Brunel, David Hansel |
| II-68 | Parallel Hopfield networks, Robert Wilson |
| II-69 | Precision target tracking with populations of retinal ganglion cells, Anthony Leonardo, Markus Meister |
| II-70 | Layer 2/3 Is A neural multigrid: Infomax an a local network explains V1 hypercolumn formation, James Kozloski, Charles Peck, Guillermo Cecchi, Ravi Rao |
| II-71 | State-dependence of sensory-evoked responses in neocortex, Carina Curto, Shuzo Sakata, Vladimir Itskov, Kenneth D. Harris |
| II-72 | A continuous attractor model for grid cell activity, Yoram Burak, Ila Fiete |
| II-73 | Neurally plausible sparse coding via competitive algorithms, Christopher Rozell, Don Johnson, Richard Baraniuk, Bruno Olshausen |
| II-74 | Intrinsic basis of gain modulation and adaptive neural coding, Sungho Hong, Brian Lundstrom, Adrienne Fairhall |
| II-75 | Distance measure in probability space and correct measure of variability, Kukjin Kang |
| II-76 | Burst spiking as a neural code in insect auditory receptors, Hugo Eyherabide, Ariel Rokem, Andreas Herz, Inés Samengo |
| II-77 | Deciphering correlations: Bayesian decoding of multi-neuronal spike trains in primate retina, Jonathan Pillow, Jonathon Shlens, Liam Paninski, Alexander Sher, Alan Litke, EJ Chichilnisky, Eero P Simoncelli |
| II-78 | Application of multiple generative models for identifying and decoding spatial memory in the hippocampus, Adam Johnson, Paul Schrater, A. David Redish |
| II-79 | Olfactory coding and discrimination in Drosophila, Sean Luo, Larry Abbott, Richard Axel |
| II-80 | Isotropic preferred-torque distributions explain anisotropic preferred-direction distributions, Gregory Ojakangas |
| II-81 | Reverse correlation analysis of thalamic responses to dynamic whisker stimulation, Rasmus Petersen, Marco Brambill, Marcelo Montemurro, Andrea Alenda, Miguel Maravall, Michael Bale, Stefano Panzeri, Liam Paninski |
| II-82 | Adapting to a changing world, Jan Engelbrecht |
| II-83 | Spatial organization of large-scale synchrony in primate retina, Jonathon Shlens, Greg Field, Jeff Gauthier, Martin Greschner, Alexander Sher, Alan Litke, EJ Chichilnisky |
| II-84 | Population coding of song element sequence in the songbird brain nucleus HVC, Jun Nishikawa, Masato Okada, Kazuo Okanoya |
| II-85 | The importance of noise in strongly coupled small inhibitory neuronal networks, William Nesse, Paul C. Bressloff, Gregory A. Clark |
| II-86 | Point process models of the neural response to inter-vibrissae interactions, Robert Haslinger, Mark Andermann, Emery Brown, Christopher Moore |
| II-87 | Neural representation of sequential states within an instructed task, Michael Campos, Boris Breznen, Richard Andersen |
| II-88 | Temporal sound processing by cochlear nucleus onset neurons, Werner Hemmert, Huan Wang, Marcus Holmberg |
| II-89 | HVC carries information of low frequency power in bird's own song, Makoto Fukushima, Daniel Margoliash |
| II-90 | Biophysical determinants of single neuron computation, Brian Lundstrom, Sungho Hong, Rebecca Mease, Adrienne Fairhall |
| II-91 | Synchrony and location dependent effects of inhibition in a pyramidal neuron model, Bartlett Mel, Monika Jadi |
| II-92 | NMDA-rich dendritic subunits as a substrate for divisive arithmetic, Monika Jadi, Bartlett Mel |
| II-93 | Transformation of olfactory representations across morphed odor conditions in the antennal lobe and the mushroom body, kai shen, Gilles Laurent |
| II-94 | Categorization and decision making in monkey auditory cortex, michael brosch, Elena Selezneva, Henning Scheich |
| II-95 | Decoding neural responses in macaque primary visual cortex, Arnulf Graf, Adam Kohn, Mehrdad Jazayeri, J Anthony Movshon |
| II-96 | Multi-Layer tempotrons, Robert Guetig, Haim Sompolinksy |
| II-97 | Irregular persistent activity induced by synaptic excitatory feedback., Francesca Barbieri, Nicolas Brunel |
| II-98 | A Bayesian perceptual model replicates tactile spatiotemporal illusions, Daniel Goldreich |
| II-99 | Phase-locking of mitral cell activity during gamma LFP oscillations: experiments and modeling, Francois David, Etienne Hugues, Nathalie Buonviso |
| II-100 | Using rat chemotaxis to study the where problem of olfaction, Smear Matt, Zachary Mainen |
| II-101 | Linear modelling of non-linear response functions: Stimulus-Specific STRFs without adaptation, Jennifer Linden, G. Bjorn Christianson, Maneesh Sahani |
| II-102 | Receptor neuron response dynamics drive spatio-temporal patterning in the antennal lobe, Baranidharan Raman, Joby Joseph, Jeff Tang, Mark Stopfer |
| II-103 | Context dependence and response predictability in the auditory cortex, Hiroki Asari, Hysell Oviedo, Anthony Zador |
| II-104 | Contribution of inhibition to sensory processing in the accessory olfactory system, Rebecca Hendrickson, Timothy Holy |
| II-105 | Adaptation and information transmission in fly motion detection, Moshe Safran, Virginia Flanagin, Alexander Borst, Haim Sompolinksy |
| II-106 | Possible role of convergent retinal inputs to LGN relay cells, Yichun Wei, Bartlett Mel |
| II-107 | Dynamics and persistence of the population responses in primary visual cortex, Matteo Carandini, Andrea Benucci, Robert Frazor |
| II-108 | Chromatic statistics and information in natural images, Patrick Garrigan, Charles Ratliff, Peter Sterling, David Brainard, Vijay Balasubramanian |
| II-109 | Visual discrimination with and without retinal image motion, Michele Rucci, Ramon Iovin, Martina Poletti, Fabrizio Santini |
| II-110 | Neural computation of motion through depth is robust to binocular anticorrelation, Alex Huk, Bas Rokers |
| II-111 | Simple and complex cells as style and content variables in a bilinear model based on temporal stability, Pietro Berkes, Richard Turner, Maneesh Sahani |
| II-112 | The origin of adaptive temporal integration in visual cortex, Wyeth Bair, Douglas McLelland, Bashir Ahmed |
| II-113 | Reading out information from populations of neurons in inferior temporal and prefrontal cortex, Ethan Meyers, David Freedman, Earl Miller, gabriel kreiman, tomaso poggio |
| II-114 | Natural movies evoke synaptic responses that produce dual modes of firing in the cat's thalamus, Xin Wang, Yichun Wei, Vishal Vaingankar, Qingbo Wang, Kilian Koepsell, Friedrich Sommer, Judith Hirsch |
| II-115 | Rapid light adaptation in the retina, Kaveri Rajaraman, Rava Azeredo da Silveira, Markus Meister |
| II-116 | Fast visual responses: Is counting spikes enough?, Rüdiger Kupper, Andreas Knoblauch, Ursula Körner, Edgar Körner, Marc-Oliver Gewaltig |
| II-117 | Spike timing precision and the influence of cortical dynamics., Tim Blanche, Kilian Koepsell |
| II-118 | Predicting responses of V1 neurons to natural movies, Amir Khosrowshahi, Bruno Olshausen, Jonathan Baker, Shih-Cheng Yen, Charles Grey |
