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Nature. 2009 Jan 18. [Epub ahead of print]

Dendritic encoding of sensory stimuli controlled by deep cortical interneurons

Murayama M, Pérez-Garci E, Nevian T, Bock T, Senn W, Larkum ME.

Physiologisches Institut, Universität Bern, Bühlplatz 5, CH-3012 Bern, Switzerland.

The computational power of single neurons is greatly enhanced by active dendritic conductances that have a large influence on their spike activity. In cortical output neurons such as the large pyramidal cells of layer 5 (L5), activation of apical dendritic calcium channels leads to plateau potentials that increase the gain of the input/output function and switch the cell to burst-firing mode. The apical dendrites are innervated by local excitatory and inhibitory inputs as well as thalamic and corticocortical projections, which makes it a formidable task to predict how these inputs influence active dendritic properties in vivo.

Here we investigate activity in populations of L5 pyramidal dendrites of the somatosensory cortex in awake and anaesthetized rats following sensory stimulation using a new fibre-optic method for recording dendritic calcium changes. We show that the strength of sensory stimulation is encoded in the combined dendritic calcium response of a local population of L5 pyramidal cells in a graded manner. The slope of the stimulus-response function was under the control of a particular subset of inhibitory neurons activated by synaptic inputs predominantly in L5. Recordings from single apical tuft dendrites in vitro showed that activity in L5 pyramidal neurons disynaptically coupled via interneurons directly blocks the initiation of dendritic calcium spikes in neighbouring pyramidal neurons. The results constitute a functional description of a cortical microcircuit in awake animals that relies on the active properties of L5 pyramidal dendrites and their very high sensitivity to inhibition. The microcircuit is organized so that local populations of apical dendrites can adaptively encode bottom-up sensory stimuli linearly across their full dynamic range.

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Nature Reviews Neuroscience 10, 113-125 (February 2009) doi:10.1038/nrn2558

State-dependent computations: spatiotemporal processing in cortical networks

Dean V. Buonomano1 & Wolfgang Maass2 About the authors

Abstract
A conspicuous ability of the brain is to seamlessly assimilate and process spatial and temporal features of sensory stimuli. This ability is indispensable for the recognition of natural stimuli. Yet, a general computational framework for processing spatiotemporal stimuli remains elusive. Recent theoretical and experimental work suggests that spatiotemporal processing emerges from the interaction between incoming stimuli and the internal dynamic state of neural networks, including not only their ongoing spiking activity but also their 'hidden' neuronal states, such as short-term synaptic plasticity.