Untitled - Laboratory of Neurophysics and Physiology

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Tutorials T1 Neural-mass and neural-field models Space Curie, (9.00-12.20; 13.30-16.50) Axel Hutt, INRIA Nancy, France Viktor Jirsa, Institut de Neuroscience de Systemes, France John Terry, University Exeter, UK Wolfram Erlhagen, University Minho, Portugal T2 Theory of correlation transfer and correlation structure in recurrent networks Space Curie, (9.00-12.20; 13.30-16.50) Ruben Moreno-Bote, Foundation Sant Joan de Déu, Barcelona, Spain Moritz Helias, Research Center Jülich, Germany T3 Modeling and interpretation of extracellular potentials Space Grignard, (9.00-12.20; 13.30-16.50) Gaute T Einevoll, Norwegian University of Life Sciences, Ås, Norway Szymon Leski, Nencki Institute of Experimental Biology, Warsaw, Poland Espen Hagen, Norwegian University of Life Sciences, Ås, Norway T4 Probabilistic inference as a neural-computing paradigm Space Grignard, (13.30-16.50) Dejan Pecevski, Graz University of Technology, Graz, Austria 23
Page 3: Contents Overview 5 OCNS - The Orga
Page 7 and 8: Organization for Computational Neur
Page 9: CNS*2013 Sponsors Brain Corporation
Page 13 and 14: General Info At the Meeting Venue T
Page 15 and 16: Local Information Since a list of a
Page 17 and 18: • You have a nice 360°-view over
Page 19: Gala Diner The gala diner will take
Page 24 and 25: T5 Brain activity at rest: Dynamics
Page 26 and 27: Saturday July 13 9:00 - 16:30 Tutor
Page 28 and 29: Oral session IV: Sensory mechanisms
Page 30 and 31: 15:50 - 16:10 O22 HCN1-mediated int
Page 32 and 33: W4 Methods of information theory in
Page 34 and 35: W18 Relevance of synaptic plasticit
Page 37 and 38: Tutorials T1 Neural-mass and neural
Page 39 and 40: 50:3171-3190 • Hawkes (1971), Poi
Page 41 and 42: T4 Probabilistic inference as a neu
Page 43 and 44: with the simulation of networks of
Page 45 and 46: [1] Donoho et al. (2009), 15 Years
Page 47 and 48: Invited Presentations Nikos K Logot
Page 49: while limiting the metabolic cost.
Page 52 and 53: must lie on a boundary of the space
Page 54 and 55: We determined the phase relationshi
Page 56 and 57: O2 Trial-to-trial tracking of excit
Page 58 and 59: O4 A cerebellar learning model that
Page 60 and 61: O6 Spontaneous emergence of simple
Page 62 and 63: careful treatment of oculomotor str
Page 64 and 65: monotonically decaying (Fig.1A) or
Page 66 and 67: O11 Cellular temperature compensati
Page 68 and 69: 2. Schmuker M, Schneider G: Process
Page 70 and 71: the emerging SWR field activity may
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to length- and γ-drive-dependent t
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In this study we investigate the KC
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To identify the coactivated groups,
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y the field model, strongly influen
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Workshops W1 Advances in activity-d
Page 83 and 84:
Investigation of the olivo-cerebell
Page 85 and 86:
Milenkovic, O., Alterovitz, G., Bat
Page 87 and 88:
Wu, M., David, S., & Gallant, J. (2
Page 89 and 90:
Nathan Urban (Carnegie Mellon) W10
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microscopic and macroscopic models,
Page 93 and 94:
more generally, every cognitive pro
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This workshop aims to provide a for
Page 97:
Dr. Andre Marreiros, Max Planck Ins
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100
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P6 Impact of the Konio pathway in t
Page 104 and 105:
P18 Combined study of time-series b
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P32 Neural oscillations arising fro
Page 108 and 109:
P42 P43 P44 P45 P46 P47 Memory main
Page 110 and 111:
P53 P54 P55 P56 P57 FitzHugh-Nagumo
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P66 A Biophysical Model of Endocann
Page 114 and 115:
P79 The mechanisms of late-onset sy
Page 116 and 117:
P90 Modeling large populations of s
Page 118 and 119:
P100 P101 P102 P103 P104 Disrupted
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P111 Integrating multi-scale data f
Page 122 and 123:
P122 Electrodiffusive model for neu
Page 124 and 125:
P135 Pattern separation by neuronal
Page 126 and 127:
Monday Posters Posters P146 - P290
Page 128 and 129:
P158 A Novel 3D Visualization Tool
Page 130 and 131:
P167 Modelling homeostatic control
Page 132 and 133:
P179 P180 P181 P182 Neural Field Si
Page 134 and 135:
P193 The Virtual Brain: a neuroinfo
Page 136 and 137:
P207 Phase sequences in a balanced
Page 138 and 139:
P220 Long-term memory stabilized by
Page 140 and 141:
P235 Latency of inhibitory response
Page 142 and 143:
P247 On the effect of network struc
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P261 Maximizing the efficiency of d
Page 146 and 147:
P274 Locomotor rhythm and pattern g
Page 148 and 149:
P284 P285 P286 Aspects of randomnes
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Tuesday Posters Posters P291 - P435
Page 152 and 153:
P302 Estimating invariant dimension
Page 154 and 155:
P316 Bayesian entropy estimators fo
Page 156 and 157:
P328 CPU-GPU hybrid platform for ef
Page 158 and 159:
P339 Computational modeling of spin
Page 160 and 161:
P354 First spike latency sensitivit
Page 162 and 163:
P366 The effect of neural synchroni
Page 164 and 165:
P379 P380 P381 Validation of an emo
Page 166 and 167:
P392 Distinct roles of inotropic an
Page 168 and 169:
P404 Impact of orientation specific
Page 170 and 171:
P416 Modelling the interaction of s
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P429 Independent components of wing
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Berry, Hugues. . . . . . . . . . .
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Deneve, Sophie . . . . . . . . . .
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Holt, Abbey . . . . . . . . . . . .
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Lyttle, David . . . . . . . . . . .
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Pecevski, Dejan . . . . . . . . . .
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Sporns, Olaf . . . . . . . . . . .
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Zhu, Wei. Ping . . . . . . . . . .
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Bertrand, Olivier . . . . . . . . .
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Deller, Thomas . . . . . . . . . .
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Holst, Gregory . . . . . . . . . .
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Luebke, Jennifer . . . . . . . . .
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Pastalkova, Eva . . . . . . . . . .
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So, Paul . . . . . . . . . . . . .
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Z Zachariou, Margarita . . . . . .
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