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Michael Häusser

Cruciform Project
Department of Neuroscience, Physiology & Pharmacology

Dendritic Processing

We are interested in understanding the contribution of single neurons to information processing in neural networks, focusing on the computational properties of neuronal dendrites. This is being addressed using a variety of techniques, including imaging of living neurons and their dendrites in brain slices, patch-clamp recordings from dendrites and from multiple synaptically-connected neurons, and computer simulations of synaptic integration. By combining these different approaches, we hope to establish which properties of synapses and dendrites are most important for determining the relationship between synaptic input and neuronal output.


1) computer simulations of action potential initiation and propagation in dendrites

2) development of synaptic integration in central neurons

3) determinants of synaptic efficacy studied using paired recordings between connected neurons


Stuart, G., Spruston, N., Sakmann B. & Häusser, M. (1997)
Action potential initiation and backpropagation in neurons of the mammalian central nervous system.
Trends in Neurosciences, 20, 125-131.

Häusser, M. & Roth, A. (1997)
Estimating the time course of the excitatory synaptic conductance in neocortical pyramidal cells using a novel voltage jump method.
Journal of Neuroscience 17, 7606-7625.

Häusser, M. & Clark B.A., (1997)
Tonic synaptic inhibition modulates neuronal output pattern and spatiotemporal synaptic integration.
Neuron 19, 665-678. 


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