**Poster Session 1**

**Thursday, March 5, 2015, 7:30p**

**Click here for the current poster swap list**

**These additional posters will be presented:**

**I-1 (former III-82)** Synaptic clustering or scattering? A model of synaptic plasticity in dendrites. *Romain Caze, Claudia Clopath, Simon Schultz *

**I-8 (former II-67)** Characterizing local invariances in the ascending ferret auditory system. *Alexander Dimitrov, Stephen David, Jean Lienard *

**I-15 (former II-98)** Memory savings through unified pre- and postsynaptic STDP. *Rui Ponte Costa, Robert Froemke, P. Jesper Sjostrom, Mark van Rossum *

**I-37 (former II-34)** Predictiveness and prediction in classical conditioning: a Bayesian statistical model. *Kristin Volk, Peter Dayan *

**I-39 (former III-98)** A spiking neuron that learns to tell the future. *Johanni Brea, Alexisz Gaal, Robert Urbanczik, Walter Senn *

**I-44 (former II-3)** Strategies for exploration in the domain of losses. *Paul Krueger, Robert Wilson, Jonathan Cohen *

**I-65 (former III-32)** Minimal ensemble coding of combined stimulus properties in the leech CNS. *Jutta Kretzberg, Friederice Pirschel, Elham Fathiazar *

**I-66 (former III-105)** Towards a computational model of dyslexia. *Sagi Jaffe-Dax, Ofri Raviv, Nori Jacoby, Yonatan Loewenstein, Merav Ahissar *

**I-71 (former II-28)** Convergence of sleep and wake population activity distributions in prefrontal cortex over learning. *Abhinav Singh, Adrien Peyrache, Mark Humphries *

**I-82 (former III-44)** 7T laminar fMRI indicates a preference for stereopsis in the deep layers of human V1. *Nuno Goncalves, Jan Zimmermann, Hiroshi Ban, Rainer Goebel, Andrew Welchman *

**I-85 (former III-72)** Opponent channel code of auditory space is an efficient representation of natural stereo sounds. *Wiktor Mlynarski *

**I-91 (former III-97)** Puzzle imaging the brain: Using large-scale dimensionality reduction algorithms for localization. *Joshua Glaser, Konrad Kording *

**I-93 (former III-43)** Sleep selectively resets V1 responses during perceptual learning. *Malte Rasch, Yin Yan, Minggui Chen, Wu Li *

**I-1 (rescheduled to III-82)** Dorsal striatum encodes inferred position in a chain of behaviorally-utilized probabilistic events. *Tanya Marton, Paul Worley, Marshall Hussain Shuler *

**I-2** Causal contribution and neural dynamics of the rat anterior striatum in an accumulation of evidence decision-making task. *Michael Yartsev, Timothy D. Hanks, Carlos Brody *

**I-3** Deciphering the neural representation of perceptual decisions with latent variable models. *Kenneth Latimer, Jacob Yates, Alex Huk, Jonathan Pillow *

**I-4** Linear dynamics of evidence integration in a contextual decision making task. *Joana Soldado-Magraner, Valerio Mante, Maneesh Sahani *

**I-5** Bistable attractor dynamics explain the effects of rat PFC inactivation during decision making. *Alex Piet, Jeff Erlich, Charles Kopec, Timothy D. Hanks, Carlos Brody *

**I-6** Reinforcement learning limits performance in categorical decision-making. *Andre Mendonca, Maria Vicente, Alexandre Pouget, Zachary Mainen *

**I-7** Affective decision making: effects of arousal on a random dot motion task. *Windy Torgerud, Dominic Mussack, Taraz Lee, Giovanni Maffei, Giuseppe Cotugno, Paul Schrater *

**I-8 (rescheduled to II-67)** Categorical representations of decision variables within OFC. *Alexander Vaughan, Junya Hirokawa, Adam Kepecs *

**I-9** Distinct neurobiological mechanisms of top-down attention. *Thomas Luo, John Maunsell *

**I-10** Probing the causal role of area V4 neurons in attentional selection. *Anirvan Nandy, Jonathan Nassi, John Reynolds *

**I-11** Hippocampal contributions to prefrontal decision making. *Thomas Jahans-Price, Rafal Bogacz, Matt Jones *

**I-12** Encoding of reward prediction errors by serotonin neurons revealed by bulk fluorescence recordings. *Sara Matias, Eran Lottem, Guillaume P. Dugue, Zachary Mainen *

**I-13** Distinct neural processes for appetitive and informational rewards. *Ethan Bromberg-Martin, Josh Merel, Tommy Blanchard, Benjamin Hayden *

**I-14** Towards a quantitative model of confidence: Testing the Bayesian confidence hypothesis. *William Adler, Wei Ji Ma *

**I-15 (rescheduled to II-98)** Trinary choices in a sequential integration paradigm. *Santiago Herce Castanon, Howard Chiu, Konstantinos Tsetsos, Christopher Summerfield *

**I-16** Bridging single-trial dynamics of LFPs and unit activity via attractor models of decision-making. *Laurence Hunt, Timothy E. J. Behrens, Jonathan Wallis, Steven Kennerley *

**I-17** Detecting representation of the view expectation in mPFC and posterior parietal cortex. *Yumi Shikauchi, Shin Ishii *

**I-18** Modulators of V4 population activity under attention. *Neil Rabinowitz, Robbe Goris, Marlene Cohen, Eero Simoncelli *

**I-19** Attention to items in working memory improves fidelity of population codes in human cortex. *Thomas Sprague, Edward Ester, John Serences *

**I-20** Mechanisms underlying near-optimal evidence integration in parietal cortex. *Hannah Tickle, Maarten Speekenbrink, Konstantinos Tsetsos, Elizabeth Michael, Christopher Summerfield *

**I-21** Shifting stimulus for faster receptive fields estimation of ensembles of neurons. *Daniela Pamplona, Bruno Cessac, Pierre Kornprobst *

**I-22** Training brain machine interfaces without supervised data. *Mohammad Gheshlaghi Azar, Lee E. Miller, Konrad Kording *

**I-23** Deep learning in a time-encoded spiking network. *Jonathan Tapson, Saeed Afshar, Tara Julia Hamilton, Andre van Schaik *

**I-24** Online sparse dictionary learning via matrix factorization in a Hebbian/anti-Hebbian network. *Tao Hu, Cengiz Pehlevan, Dmitri Chklovskii *

**I-25** Bayesian filtering, parallel hypotheses and uncertainty: a new, combined model for human learning. *Marco Lehmann, Alexander Aivazidis, Mohammadjavad Faraji, Kerstin Preuschoff *

**I-26** Modeling activity-dependent constraint-induced therapy by spike timing dependent plasticity (STDP). *Won Joon Sohn, Terence D. Sanger *

**I-27** A two-layer neural architecture underlies descending control of limbs in Drosophila. *Cynthia Hsu, Katherine A. Tschida, Vikas Bhandawat *

**I-28** Neural generative models with stochastic synapses capture richer representations. *Maruan Al-Shedivat, Emre Neftci, Gert Cauwenberghs *

**I-29** Inferring structured connectivity from spike trains under Negative-Binomial Generalized Linear Model. *Scott Linderman, Ryan Adams, Jonathan Pillow *

**I-30** Sampling in a hierarchical model of images reproduces top-down effects in visual perception. *Mihaly Banyai, Gergo Orban *

**I-31** PrAGMATiC: a probabilistic and generative model of areas tiling the cortex. *Alexander Huth, Wendy de Heer, Thomas Griffiths, Frederic Theunissen, Jack Gallant *

**I-32** 3D motion sensitivity in a binocular model for motion integration in MT neurons. *Pamela Baker, Wyeth Bair *

**I-33** Phoneme perception as bayesian inference with a narrow-tuned multimodal prior . *Daeseob Lim, Seng Bum Yoo, Sang-Hun Lee *

**I-34** Discovering switching autoregressive dynamics in neural spike train recordings. *Matthew Johnson, Scott Linderman, Sandeep Datta, Ryan Adams *

**I-35** Advancing models of shape representation for mid-level vision. *Dina Popovkina, Anitha Pasupathy, Wyeth Bair *

**I-36** Data-driven mean-field networks of aEIF neurons and their application to computational psychiatry. *Loreen Hertog, Nicolas Brunel, Daniel Durstewitz *

**I-37 (rescheduled to II-34)** Spatial sound-source segregation using a physiologically inspired network model. *Junzi Dong, H. Steven Colburn, Kamal Sen *

**I-38** A spatially extended rate model of the primary visual cortex. *Dina Obeid, Kenneth Miller *

**I-39 (rescheduled to III-98)** Internal models for interpreting neural population activity during sensorimotor control. *Matthew Golub, Byron Yu, Steven Chase *

**I-40** Convolutional spike-triggered covariance analysis for estimating subunit models. *Anqi Wu, Il Memming Park, Jonathan Pillow *

**I-41** Hierarchies for representing temporal sound cues in primary and secondary sensory cortical fields. *Heather Read, Christopher Lee, Ahmad Osman, Monty Escabi*

**I-42** A neuronal network model for context-dependent perceptual decision on ambiguous sound comparison. *Chengcheng Huang, Bernhard Englitz, Shihab Shamma, John Rinzel *

**I-43** Reading a cognitive map: a hippocampal model of path planning. *Christopher Nolan, Janet Wiles, Allen Cheung *

**I-44 (rescheduled to II-2)** Functional network & homologous brain region discovery using hierarchical latent state space models. *Kyle Ulrich, Jeff Beck, Katherine Heller *

**I-45** Simulating cochlear implant modulation detection thresholds with a biophysical auditory nerve model. *Elle O'Brien, Nikita Imennov, Jay Rubinstein *

**I-46** Evaluating ambiguous associations in the amygdala by learning the statistical structure of the environment. *Tamas Madarasz, Lorenzo Diaz-Mataix, Joseph LeDoux, Joshua Johansen *

**I-47** Dynamic Bayesian integration of vision and proprioception during feedback control. *Frederic Crevecoeur, Douglas Munoz, Stephen Scott *

**I-48** Varied network connections yield a gamma rhythm robust to variation in mean synaptic strength. *Mark Reimers, Steven Hauser *

**I-49** Invariant representations for action recognition in the visual system. *Leyla Isik, Andrea Tacchetti, Tomaso Poggio *

**I-50** Deep Gaze I: Boosting saliency prediction with feature maps trained on ImageNet. *Matthias Kummerer, Thomas Wallis, Lucas Theis, Matthias Bethge *

**I-51** Explaining monkey face patch system as deep inverse graphics. *Ilker Yildirim, Tejas Kulkarni, Winrich Freiwald, Josh Tenenbaum *

**I-52** Inference of functional sub-circuits in the dynamical connectome of the C. elegans worm. *Eli Shlizerman, S Grant Babb *

**I-53** Energy-based latent variable models as efficient descriptors of multi-neuron activity patterns. *Dominik Spicher, Gerrit Hilgen, Hayder Amin, Alessandro Maccione, Sahar Pirmoradian, Gasper Tkacik, Evelyne Sernagor, Luca Berdondini, Matthias Hennig *

**I-54 (rescheduled to II-107)** A neural network model for arm posture control in motor cortex. *Hagai Lalazar, Larry Abbott, Eilon Vaadia *

**I-55** Modeling reactivation of neuronal network spiking patterns across human focal seizures. *Felipe Gerhard, Sydney Cash, Wilson Truccolo *

**I-56** Time versus gesture coding in songbird motor cortex. *Galen Lynch, Tatsuo Okubo, Alexander Hanuschkin, Richard Hahnloser, Michale Fee *

**I-57** Predicting the relationship between sensory neuron variability and perceptual decisions. *Yuwei Cui, Liu Liu, James McFarland, Christopher Pack, Daniel Butts *

**I-58** Dynamics of multi-stable states during ongoing and evoked cortical activity . *Luca Mazzucato, Alfredo Fontanini, Giancarlo La Camera *

**I-59 (rescheduled to II-106)** Altered cortical neuronal avalanches in a rat model of schizophrenia. *Saurav Seshadri, Dietmar Plenz *

**I-60 (rescheduled to III-108)** Effects of sprouting and excitation-inhibition imbalance on epileptiform activity. *Christopher Kim, Ulrich Egert, Arvind Kumar, Stefan Rotter *

**I-61** Crowding of orientation signals in macaque V1 neuronal populations. *Christopher Henry, Adam Kohn *

**I-62** Rapid context-dependent switching of auditory ensembles during behavior. *Kishore Kuchibhotla, Robert Froemke *

**I-63** Dynamic integration of visual features by parietal cortex. *guilhem ibos, David J. Freedman *

**I-64** What does LIP do when a decision is dissociated from planning the next eye movement? *NaYoung So, Michael Shadlen *

**I-65 (rescheduled to III-32)** Multiple mechanisms for stimulus-specific adaptation in the primary auditory cortex. *Ryan Natan, John Briguglio, Laetitia Mwilambwe-Tshilobo, Maria Geffen *

**I-66 (rescheduled to III-105)** Hypothalamic control of self-initiated aggression seeking behavior. *Annegret Falkner, Dayu Lin *

**I-67** Population encoding of sound in central auditory neurons of the fly brain. *Anthony Azevedo, Rachel Wilson *

**I-68** Rapid path planning and preplay in maze-like environments using attractor networks. *Dane Corneil, Wulfram Gerstner *

**I-69** Changes in striatal network dynamics during discrimination learning. *Konstantin Bakhurin, Victor Mac, Peyman Golshani, Sotiris Masmanidis *

**I-70** Auditory network optimized for noise robust speech discrimination predicts auditory system hierarchy. *Fatemeh Khatami, Monty Escabi *

**I-71 (rescheduled to III-107)** Thalamic inhibitory barreloids created by feedback projections from the thalamic reticular nucleus. *Kazuo Imaizumi, Yuchio Yanagawa, Charles Lee *

**I-72** Effects of serotonin and dopamine manipulation on speed-accuracy trade-offs. *Vincent Costa, Laura Kakalios, Eunjeong Lee, Bruno Averbeck *

**I-73** Scaling properties of dimensionality reduction for neural populations and network models. *Ryan Williamson, Benjamin Cowley, Ashok Litwin-Kumar, Brent Doiron, Adam Kohn, Matt Smith, Byron Yu *

**I-74** Learning in STDP networks of neurons by a sequence of spatiotemporally patterned stimuli. *Ho Jun Lee, June Hoan Kim, Kyoung Lee *

**I-75** Learning temporal integration in balanced networks. *Erik Nygren, Robert Urbanczik, Walter Senn *

**I-76** When feedforward nets pretend to oscillate. *Alexandre Payeur, Leonard Maler, Andre Longtin *

**I-77** SpikeFORCE: A FORCE algorithm for training spike timing based neuronal activity. *Ran Rubin, Haim Sompolinsky, Larry Abbott *

**I-78** Divisive inhibition of rate response via input timescale. *Timothy Oleskiw, Wyeth Bair, Eric Shea-Brown *

**I-79** Extracting latent structure from multiple interacting neural populations. *Joao Semedo, Amin Zandvakili, Adam Kohn, Christian Machens, Byron Yu *

**I-80** Interaction of slow network integration and fast neural integration towards spike generation. *Annabelle Singer, Giovanni Talei Franzesi, Suhasa Kodandaramaiah, Francisco Flores, Craig Forest, Nancy Kopell, Ed Boyden *

**I-81** Excitatory to inhibitory connectivity shaped by synaptic and homeostatic plasticity. *Claudia Clopath, Jacopo Bono, Ulysse Klatzmann *

**I-82 (rescheduled to III-44)** High degree neurons tend to contribute more and process less information in cortical networks. *Nicholas Timme, Shinya Ito, Maxym Myroshnychenko, Fang-Chin Yeh, Emma Hiolski, Alan Litke, John Beggs *

**I-83** Enhancement and modelling of spike timing reliability in-vivo using noise evoked by juxtacellular st. *Guy Doron, Jens Doose, Michael Brecht, Benjamin Lindner *

**I-84** Enhancing spike inference precision by combining independent trials of calcium imaging recordings. *Eftychios Pnevmatikakis, Josh Merel, Kalman Katlowitz, Michel Picardo, Michael Long, Liam Paninski *

**I-85 (rescheduled to III-72)** Fast multi-neuron spike identification via continuous orthogonal matching pursuit. *Karin Knudson, Jacob Yates, Alex Huk, Jonathan Pillow *

**I-86** Statistical assessment of sequences of synchronous spiking in massively parallel spike trains. *Emiliano Torre, Carlos Canova, George Gerstein, Moritz Helias, Michael Denker, Sonja Grun *

**I-87** Non-linear input summation in balanced networks can be controlled by activity dependent synapses. *Sara Konrad, Tatjana Tchumatchenko *

**I-88** Synaptic volatility and the reorganization of electrical activity in neuronal networks. *Gianluigi Mongillo, Simon Rumpel, Yonatan Loewenstein *

**I-89** From structure to dynamics: origin of higher-order spike correlations in network motifs. *Yu Hu, Kresimir Josic, Eric Shea-Brown, Michael Buice *

**I-90** A shotgun sampling solution for the common input problem in neural connectivity inference. *Daniel Soudry, Suraj Keshri, Patrick Stinson, Min-hwan Oh, Garud Iyengar, Liam Paninski *

**I-91 (rescheduled to III-97)** Realistic structural heterogeneity in local circuits and its implications on the balanced state. *Itamar Landau, Haim Sompolinsky *

**I-92** Dynamics of recurrent networks in visual cortex with multiple inhibitory subpopulations. *Ashok Litwin-Kumar, Robert Rosenbaum, Brent Doiron *

**I-93 (rescheduled to III-43)** What regime is the cortex in? *Yashar Ahmadian, Kenneth Miller *

**I-94** Modelling retinal activity with Restricted Boltzmann Machines: a study on the inhibitory circuitry. *Matteo Zanotto, Stefano Di Marco, Alessandro Maccione, Luca Berdondini, Diego Sona, Vittorio Murino *

**I-95** Sequence generating recurrent networks: a novel view of cortex, thalamus, and the basal ganglia. *Sean Escola, Larry Abbott *

**I-96** Symmetric matrix factorization as a multifunctional algorithmic theory of neural computation. *Cengiz Pehlevan, Dmitri B. Chklovskii *

**I-97** Dendritic computations may contribute to contextual interactions in neocortex. *Lei Jin, Bardia F. Behabadi, Chaithanya A. Ramachandra, Bartlett W. Mel *

**I-98** Stability of trained recurrent neural networks. *Alexander Rivkind, Omri Barak *

**I-99** Supervised learning in spiking recurrent networks: balance is the key. *Ralph Bourdoukan, Sophie Deneve *

**I-100** How entropy-producing networks can have precise spike times. *Maximilian Puelma Touzel, Michael Monteforte, Fred Wolf *

**I-101** Learning universal computations with spikes. *Raoul-Martin Memmesheimer, Dominik Thalmeier, Marvin Uhlmann, Hilbert J. Kappen *

**I-102** Temporal evolution of information in neural networks with feedback. *Aram Giahi Saravani, Xaq Pitkow *

**I-103** Assembly training and reinforcement through spike timing. *Gabriel Ocker, Changan Liu, Kresimir Josic, Brent Doiron *

**I-104** A "Neural Turing Machine" model of working memory. *Greg Wayne, Alex Graves, Ivo Danihelka *

**I-105** Representation of syntactic information across human cerebral cortex. *Lydia Majure, Alex Huth, Jack Gallant *