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. In the past, the prevailing view has been that information processing and storage in neural networks results mainly from properties of synapses and connectivity of neurons within the network. As a consequence, the contribution of single neurons to computation in the brain has long been underestimated. 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 . These advances have refocused attention on how single neurons contribute to information processing and storage in the brain. 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. Techniques used include direct patch-clamp recordings from neuronal dendrites , imaging ionic signals in dendrites and spines with two-photon laser-scanning microscopy, and recording from multiple synaptically connected cells.

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