- Page 5: Overview
- Page 8 and 9: 2013 Local Organizers Boris Gutkin,
- Page 11: Timetable 11
- Page 14 and 15: Around the Meeting Venue The Centre
- Page 16 and 17: • Pietro Pizzeria, 65 Boulevard d
- Page 18 and 19: Useful Numbers: • Ambulance: 15
- Page 21: Program
- 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.
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must lie on a boundary of the space
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We determined the phase relationshi
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O2 Trial-to-trial tracking of excit
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O4 A cerebellar learning model that
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O6 Spontaneous emergence of simple
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careful treatment of oculomotor str
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monotonically decaying (Fig.1A) or
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O11 Cellular temperature compensati
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2. Schmuker M, Schneider G: Process
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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
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Investigation of the olivo-cerebell
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Milenkovic, O., Alterovitz, G., Bat
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Wu, M., David, S., & Gallant, J. (2
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Nathan Urban (Carnegie Mellon) W10
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microscopic and macroscopic models,
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more generally, every cognitive pro
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This workshop aims to provide a for
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Dr. Andre Marreiros, Max Planck Ins
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100
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P6 Impact of the Konio pathway in t
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P18 Combined study of time-series b
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P32 Neural oscillations arising fro
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P42 P43 P44 P45 P46 P47 Memory main
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P53 P54 P55 P56 P57 FitzHugh-Nagumo
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P66 A Biophysical Model of Endocann
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P79 The mechanisms of late-onset sy
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P90 Modeling large populations of s
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P100 P101 P102 P103 P104 Disrupted
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P111 Integrating multi-scale data f
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P122 Electrodiffusive model for neu
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P135 Pattern separation by neuronal
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Monday Posters Posters P146 - P290
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P158 A Novel 3D Visualization Tool
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P167 Modelling homeostatic control
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P179 P180 P181 P182 Neural Field Si
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P193 The Virtual Brain: a neuroinfo
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P207 Phase sequences in a balanced
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P220 Long-term memory stabilized by
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P235 Latency of inhibitory response
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P247 On the effect of network struc
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P261 Maximizing the efficiency of d
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P274 Locomotor rhythm and pattern g
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P284 P285 P286 Aspects of randomnes
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Tuesday Posters Posters P291 - P435
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P302 Estimating invariant dimension
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P316 Bayesian entropy estimators fo
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P328 CPU-GPU hybrid platform for ef
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P339 Computational modeling of spin
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P354 First spike latency sensitivit
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P366 The effect of neural synchroni
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P379 P380 P381 Validation of an emo
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P392 Distinct roles of inotropic an
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P404 Impact of orientation specific
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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 . . . . . .