computational modelling

behavioural, cognitive, and neural models of action, communication, and learning RELATED PUBLICATIONS Stolk – TiCS – Conceptual Alignment: How brains achieve mutual understanding communication, computation, imaging Stolk – TiCS – Conceptual Alignment: How brains achieve mutual understanding Mar 31, 2016 Zimmermann – eNeuro – The extrastriate body area computes desired goal states during action planning behaviour, […]

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Zimmermann – eNeuro – The extrastriate body area computes desired goal states during action planning

How do object perception and action interact at a neural level? Here we test the hypothesis that perceptual features, processed by the ventral visuoperceptual stream, are used as priors by the dorsal visuomotor stream to specify goal-directed grasping actions. We present three main findings, which were obtained by combining time-resolved transcranial magnetic stimulation and kinematic […]

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Volman – JNeurosci – Reduced serotonin transporter availability decreases prefrontal control of the amygdala

After a threatening event, the risk of developing social psychopathologies is increased in short-allele (s) carriers of the serotonin trans- porter gene. The amygdala becomes overresponsive to emotional stimuli, an effect that could be driven by local hypersensitivity or by reduced prefrontal regulation. This study distinguishes between these two hypotheses by using dynamic causal modeling […]

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Lachlan – JCompPsy – Are there species-universal categories in bird song phonology and syntax?

Previous studies of learned bird song have suggested the existence of species-universal patterns in song organization: clear clusters in produced songs that do not vary within a species. Here the authors combine a computational method of comparing songs with statistical methods of assessing cluster structure to investigate this issue in a more quantitative manner. The […]

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Grol – JNeurosci – Parieto-frontal connectivity during visually guided grasping

Grasping an object requires processing visuospatial information about the extrinsic features (spatial location) and intrinsic features (size, shape, orientation) of the object. Accordingly, manual prehension has been subdivided into a reach component, guiding the hand toward the object on the basis of its extrinsic features, and a grasp component, preshaping the fingers around the center […]

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