Max Planck Institute for Dynamics and Self-Organization -- Department for Nonlinear Dynamics and Network Dynamics Group
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BCCN AG-Seminar

Tuesday, 19.06.2007 17 c.t.

Predicting neural activity spike by spike: the power (and limits) of simple neuron models

by Prof. Dr. Wulfram Gerstner
from Laboratory of Computational Neuroscience, Ecole Polytechnique Fédérale de Lausanne, Schweiz


Seminarraum Haus 2, 4. Stock (Bunsenstr.)


We used simple neuron models to predict neuronal activity during intracellular current injection. Having previously used standard integrate-and-fire neurons, and spike response models with sliding threshold, we now show directly from experiments that a simple neuron model should feature an exponential spike initiation mechanism combined with refractory effects. The response of cortical neurons in rat somatosensory cortex was probed by injecting random current into the soma and recording the voltage by a second electrode. We constructed an instantaneous current-voltage relationship (instantaneous IV curve) in order to characterize passive subthreshold properties as well as active processes during and after action potential firing and we translate these findings directly into a simple model. The model is able to predict spike timing of neurons under random current injection.

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