Michael Hausser Biography

Neurons are the basic cellular units of the brain and are connected via synapses to form neural networks. One of the central questions in neuroscience is how particular tasks or computations are implemented by neural networks to generate behaviour and how patterns of activity are stored during learning. Recent work has shown however that the dendritic processes of single neurons which receive most of the synaptic input display an extremely rich repertoire of behaviour and actively integrate their synaptic inputs to define the input-output relation of the neuron . Furthermore the signalling mechanisms which have been discovered in dendrites have suggested new ways in which patterns of network activity could be stored and transmitted. The recent development of new experimental and theoretical techniques now offers the promise to link single-cell processing with higher levels of brain function. Our group is interested in understanding the cellular basis of neural computation focusing on dendritic function and processing of synaptic input in relation to network activity in the intact brain. We are integrating approaches and techniques at different levels of brain function to study the cellular basis of information processing in the cerebellar and cerebral cortex. Our focus is on cerebellar Purkinje cells and cortical layer 5 pyramidal cells which are the principal neurons in their respective networks.

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