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A PENS Neuroscience School.

August 6th - August 31st, 2007

Arcachon, France

Beeren Lisa
Email l.beerenucl.ac.uk
Gender Female
Nationality Australia
Year of birth 1981
Department Physiology
University University College London
Country (of work) United Kingdom
Simulation Project Title Network connectivity and its effect on noise absorption.
Type of model Abstract neural network model
Description In a fully connected network, with 50% inhibitory and excitatory cells, a single extra excitatory spike will be cancelled out and generate no change in the pattern of activity of the network. I will use a network model of spiking neurons and vary both connectivity and ratio of excitatory to inhibitory cells, looking for the connectivity level at which an extra spike will still affect a network spike pattern, and compare it to analytical calculations and experimental data from recordings in vivo.
Why complementary Using whole-cell patch clamping in the anesthetised rat, I have recorded changes of neuron spiking frequency following current injection. I plan to model data from simultaneous extra- and intra-cellular recording to assess the effect an extra spike has on a network. This will provide interesting insights into a networks ability to absorb or propagate noise depending on its connectivity parameter and complement my interest in the value of precise spike patterns in the transmission of information.
Tutor Tim Vogels


Computational Neuroscience: