Untitled - Laboratory of Neurophysics and Physiology

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P429 Independent components of wing kinematics in the fruit fly Drosophila Soma Chakraborty 1,2⋆ , Jan Bartussek 1,3 , Steven N Fry 4 , and Martin Zapotocky 1,2 1 Institute of Physiology, Academy of Sciences of the Czech Republic, Prague, Czech Republic, 14220 2 First Faculty of Medicine, Charles University, Prague, Czech Republic, 12108 3 Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland, CH-8057 4 SciTrackS GmbH, www.scitracks.com P430 Orexinergic Neurotransmission in Temperature Responses to Amphetamines Yaroslav Molkov 1⋆ , Daniel Fu 2 , Patrick Tan 3 , Maria Zaretskaia 4 , and Dmitry Zaretsky 4 1 Department of Mathematical Sciences, Indiana University – Purdue University Indianapolis, IN 46202, USA 2 Park Tudor School, Indianapolis, IN 46240, USA 3 Carmel High School, Carmel, IN 46032, USA 4 Department of Emergency Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA P431 Functional identification and evaluation of massively parallel neural circuits Aurel A. Lazar ⋆ , Yevgeniy B. Slutskiy, and Yiyin Zhou Department of Electrical Engineering, Columbia University, New York, NY, 10027, USA P432 Neuronal signatures of network transition into bursting Sima Mofakham 1⋆ , Michal Zochowski 1,2 1 Department of Biophysics, University of Michigan, Ann Arbor, Michigan 48009, USA 2 Department of Physics, University of Michigan, Ann Arbor, Michigan 48009, US P433 Dynamics of two-process astrocyte networks Daniel Maruyama 1⋆ , Michal Zochowski 1,2 1 Physics, Univ. of Michigan, Ann Arbor, MI 48109, USA 2 Biophysics, Univ. of Michigan, Ann Arbor, MI 48109, USA P434 ERP latency contrasts using Dynamic Time Warping algorithm Alexia Zoumpoulaki 1⋆ , Abdulmajeed Alsufyani 1 , Marco Filetti 1 , M Brammer 2 , and Howard Bowman 1 1 School of Computing, University of Kent, Canterbury, Kent, CT2 7NZ, UK 2 Institute of Psychiatry/ Neuroimaging, Kings College London, London, WC2R 2LS, UK 172
P435 Center-Surround Interactions in a Network Model of Layer 4Cα of Primary Visual Cortex Christoph Metzner 1,2⋆ , Achim Schweikard 1 , and Bartosz Zurwoski 3 1 Institute for Robotics and Cognitive Systems, University of Luebeck, 23538 Luebeck, Germany 2 Graduate School for Computing in Medicine and Life Sciences, University of Luebeck, 23538 Luebeck, Germany 3 Department of Psychiatry, University Clinics Schleswig-Holstein, 23538 Luebeck, Germany 173
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Contents Overview 5 OCNS - The Orga
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Organization for Computational Neur
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CNS*2013 Sponsors Brain Corporation
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General Info At the Meeting Venue T
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Local Information Since a list of a
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• You have a nice 360°-view over
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Gala Diner The gala diner will take
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Tutorials T1 Neural-mass and neural
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Main Meeting 25
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Oral session II: Visual system 14:0
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Tuesday July 16 9:00 - 9:10 Announc
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Workshops Note: W21 will be held Th
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W10 New approaches to spike train a
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Abstracts
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makes generalised seizures more lik
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• a scheme for biophysically deta
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• Pecevski et al. (2011), Probabi
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[5] Goodman (2010), Code generation
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eview key theoretical results and p
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Simon Laughlin Department of Zoolog
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Contributed Talks F1 Consistency re
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activation phase locks in the senso
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tigated whether eCBs could also pro
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2. Kobayashi R, Shinomoto S, Lansky
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O5 We now know what fly photorecept
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(B.Stem). The retina covers 10 by 1
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internally generated propagating wa
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We examine spike-count correlations
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Our results predict that thermosens
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corresponding experimental observat
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Figure 1: Properties of the model (
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goal-directed movements. Here, seve
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escence. In the low connectivity re
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O21 Multiscale modeling of cortical
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evidence [4]. We show here that the
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• How can one distinguish and stu
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network model in realtime W4 Method
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Rita Almeida, Karolinska Institute;
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greater detail. For example, dendri
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effective processing of task-relate
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W14 Modeling general anesthesia: fr
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Arvind Kumar, Freiburg: Basal gangl
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Morten Kringelbach, Oxford Maxime G
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Posters
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Posters Sunday Posters Posters P1 -
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P11 The role of inhibition in the g
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P25 P26 P27 P28 Estimating the frac
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P37 Zero-Lag Synchronization in Cor
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P48 Requirements for the Robust Ope
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P59 A maximum likelihood estimator
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P72 P73 The behavior of the electri
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P84 Multistability in large scale m
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P96 A biophysical model of cerebell
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P105 Estimating the transfer functi
Page 121 and 122: P117 P118 Neuronal Coding in the Ro
Page 123 and 124: P128 P129 P130 P131 P132 P133 P134
Page 125 and 126: P141 Visually guided behavior in fr
Page 127 and 128: P151 P152 P153 P154 Estimation of n
Page 129 and 130: P163 From laptops to supercomputers
Page 131 and 132: P173 Single cell neuro-sensory dyna
Page 133 and 134: P186 Latency and rate coding in a s
Page 135 and 136: P200 On the influence of inhibitory
Page 137 and 138: P213 Estimating synaptic connection
Page 139 and 140: P228 Controlling the Go / No-Go dec
Page 141 and 142: P240 P241 P242 P243 P244 P245 P246
Page 143 and 144: P254 Motion control of thumb and in
Page 145 and 146: P267 Non-instantaneous synaptic tra
Page 147 and 148: P280 P281 Trial by trial decoding o
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Page 151 and 152: P297 A numerical renormalisation gr
Page 153 and 154: P309 Detection of neuronal signatur
Page 155 and 156: P321 Long-Term Potentiation Through
Page 157 and 158: P334 Sparse coding model captures V
Page 159 and 160: P347 Influence of biophysical prope
Page 161 and 162: P360 Plasticity of Network Dynamics
Page 163 and 164: P373 The implications of evolutiona
Page 165 and 166: P386 Attractor dynamics in local ne
Page 167 and 168: P398 Why are all phase resetting cu
Page 169 and 170: P410 Prefrontal cortical modulation
Page 171: P422 Olfactory bulb network dynamic
Page 175 and 176: Appendix
Page 177 and 178: Notes 177
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Page 185 and 186: Page Index A Aazhang, Behnaam . . .
Page 187 and 188: Chavane, Frederic . . . . . . . . .
Page 189 and 190: Gerhard, Felipe . . . . . . . . . .
Page 191 and 192: Kömek, Kübra. . . . . . . . . . .
Page 193 and 194: Muresan, Raul Cristian. . . . . . .
Page 195 and 196: Rotstein, Horacio G. . . . . . . .
Page 197 and 198: V Valderrama, Mario . . . . . . . .
Page 199 and 200: Contributions Index A Aazhang, Behn
Page 201 and 202: Chartier, Josh . . . . . . . . . .
Page 203 and 204: Gekas, Nikos . . . . . . . . . . .
Page 205 and 206: Knösche, Thomas . . . . . . . . .
Page 207 and 208: Mosqueiro, Thiago . . . . . . . . .
Page 209 and 210: Ronacher, Bernhard . . . . . . . .
Page 211 and 212: Tsigankov, Dmitry. . . . . . . . .
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