Untitled - Laboratory of Neurophysics and Physiology
Untitled - Laboratory of Neurophysics and Physiology
Untitled - Laboratory of Neurophysics and Physiology
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P267<br />
Non-instantaneous synaptic transmission in spiking neuron networks <strong>and</strong> equivalence<br />
with delay distribution<br />
Matteo Biggio 1 , Marco Storace 1⋆ , <strong>and</strong> Maurizio Mattia 2<br />
1 Department <strong>of</strong> Electrical, Electronic, Telecommunications Engineering, <strong>and</strong> Naval Architecture, University<br />
<strong>of</strong> Genoa, Genova, Via Opera Pia 11A, 16145, Italy<br />
2 Department <strong>of</strong> Technologies <strong>and</strong> Health, Istituto Superiore di Sanità, Rome, Italy<br />
P268<br />
Dynamical features <strong>of</strong> stimulus integration by interacting cortical columns<br />
Robin Cao 1,2⋆ , Jochen Braun 1 , <strong>and</strong> Maurizio Mattia 2<br />
1 Cognitive Biology, Center for Behavioral Brain Sciences, Magdeburg, Germany<br />
2 Department <strong>of</strong> Technologies <strong>and</strong> Health, Istituto Superiore di Sanità, Roma, Italy<br />
P269<br />
P270<br />
Calcium buffering as a mechanism <strong>of</strong> short-term synaptic plasticity<br />
Victor Matveev ⋆<br />
Department <strong>of</strong> Mathematical Sciences, New Jersey Institute <strong>of</strong> Technology, Newark, NJ 07102, USA<br />
Likelihood-free Bayesian Analysis <strong>of</strong> Neural Network Models<br />
Br<strong>and</strong>on Turner 1⋆ , Per Sederberg 2 , <strong>and</strong> James Mcclell<strong>and</strong> 1<br />
1 Psychology Department, Stanford University, Palo Alto, CA, 94035, USA<br />
2 Psychology Department, The Ohio State University, Columbus, OH, 43210, USA<br />
P271<br />
P272<br />
P273<br />
Temporal sequence learning in reentrantly coupled winner-take-all networks <strong>of</strong><br />
spiking neurons<br />
Jeffrey Mckinstry ⋆<br />
The Neurosciences Institute, La Jolla, California 92037, USA<br />
Electrocutaneous stimulus setting for identification <strong>of</strong> the ascending nociceptive<br />
pathway<br />
Huan Yang ⋆ , Jan Buitenweg, <strong>and</strong> Hil Meijer<br />
Department <strong>of</strong> Mathematics, Electrical Engineering, Computer Science <strong>and</strong> Mathematics, University<br />
<strong>of</strong> Twente, Enschede, Postbus 217, 7500 AE, the Netherl<strong>and</strong>s<br />
Computational optimum <strong>of</strong> recurrent neural circuits at intermediate numbers <strong>of</strong><br />
nonlinear dendritic branches<br />
David Breuer 1,3,4 , Marc Timme 1,2,3 , <strong>and</strong> Raoul-Martin Memmesheimer 5⋆<br />
1 Network Dynamics, Max Planck Institute for Dynamics & Self-Organization, Göttingen, Germany<br />
2 Bernstein Center for Computational Neuroscience Göttingen, Göttingen, Germany<br />
3 Fakultät für Physik, Georg-August-Universität Göttingen, Göttingen, Germany<br />
4 Max Planck Institute <strong>of</strong> Molecular Plant <strong>Physiology</strong>, Potsdam-Golm, Germany<br />
5 Donders Institute, Department for Neuroinformatics, Radboud Universiteit Nijmegen, Nijmegen,<br />
Netherl<strong>and</strong>s<br />
145