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Friedrich T Sommer

Publications and source records attributed to Friedrich T Sommer.

4 recordsLinked to original sources

A network that uses few active neurones to code visual input predicts the diverse shapes of cortical receptive fields.

Computational models of primary visual cortex have demonstrated that principles of efficient coding and neuronal sparseness can explain the emergence of neurones with localised oriented receptive fields. Yet, existing models have failed to predict the diverse shapes of receptive fields that occur in nature. The existing models used a particular "soft" form of sparseness that limits average neuronal activity. Here we study models of efficient coding in a broader context by comparing soft and "bard" forms of neuronal sparseness. As a result of our analyses, we propose a novel network model for visual cortex. The model forms efficient visual representations in which the number of active neurones, rather than mean neuronal activity, is limited. This form of hard sparseness also economises cortical resources like synaptic memory and metabolic energy. Furthermore, our model accurately predicts the distribution of receptive field shapes found in the primary visual cortex of cat and monkey.

Animals↗

Receptive field structure varies with layer in the primary visual cortex.

Here we ask whether visual response pattern varies with position in the cortical microcircuit by comparing the structure of receptive fields recorded from the different layers of the cat's primary visual cortex. We used whole-cell recording in vivo to show the spatial distribution of visually evoked excitatory and inhibitory inputs and to stain individual neurons. We quantified the distribution of 'On' and 'Off' responses and the presence of spatially opponent excitation and inhibition within the receptive field. The thalamorecipient layers (4 and upper 6) were dominated by simple cells, as defined by two criteria: they had separated On and Off subregions, and they had push-pull responses (in a given subregion, stimuli of the opposite contrast evoked responses of the opposite sign). Other types of response profile correlated with laminar location as well. Thus, connections unique to each visual cortical layer are likely to serve distinct functions.

Action Potentials↗

Improving binding potential analysis in [11C]raclopride PET studies using cluster analysis.

To calculate binding potentials (BP) in [11C]raclopride brain PET studies a reference tissue model is widely used. The aim of the present study was to improve the determination of time activity curves (TAC) of reference tissue regions using cluster analysis. In four patients with Huntington disease TACs of a cerebellar reference region were calculated either from manually placed circular ROIs within the cerebellum or by cluster analysis. BP estimates derived from cluster analysis are independent from inter- and intraobserver variations and show an improved reproducibility combined with a low variability compared to manually placed cerebellar ROIs. This is of high value in longitudinal studies.

Adult↗

Functionally distinct inhibitory neurons at the first stage of visual cortical processing.

Here we explore inhibitory circuits at the thalamocortical stage of processing in layer 4 of the cat's visual cortex, focusing on the anatomy and physiology of the interneurons themselves. Our immediate aim was to explore the inhibitory mechanisms that contribute to orientation selectivity, perhaps the most dramatic response property to emerge across the thalamocortical synapse. The broader goal was to understand how inhibitory circuits operate. Using whole-cell recording in cats in vivo, we found that layer 4 contains two populations of inhibitory cells defined by receptive field class--simple and complex. The simple cells were selective for stimulus orientation, whereas the complex cells were not. Our observations help to explain how neurons become sensitive to stimulus orientation and maintain that selectivity as stimulus contrast changes. Overall, the work suggests that different sources of inhibition, either selective for specific features or broadly tuned, interact to provide appropriate representations of elements within the environment.

Animals↗