Poster Session 1

Thursday, March 5, 2015, 7:30p

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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

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