This test provides an automated test of pattern separation, which adds to an expanding battery of cognitive tests that can be carried out using the touchscreen testing method. NeuroReport 20:881-885 (C) 2009 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.”
“An evolutionarily stable strategy (ESS) is only required to be capable of resisting invasion by rare mutant strategies. In contrast, an absolute invader strategy (AIS) is a rare mutant strategy that can invade any established strategy. We show that the predictions of the outcome of evolution made by optimization models are compatible with those made by the classical

expected payoff comparisons in matrix games. We also show that if a matrix game has an AIS that AIS is unique and is also an ESS. But an ESS need not be an AIS. selleck screening library In pure-strategy submodels, an AIS need not be unique.

An AIS of a matrix game has global asymptotic stability property in the game dynamics which involve only pure strategies including the AIS. (C) 2008 Elsevier Ltd. All rights reserved.”
“It has been suggested that the posterior medial prefrontal cortex (pMPFC) implements cognitive functions involved during negative feedback processing. It has also been suggested that the presentation of the feedback elicits emotional processes. This functional MRI study examined whether pMPFC was associated with the emotional component in feedback processing. Participants were exposed to feedback while performing a version of a motion prediction task. The pMPFC was activated during negative feedback presentation THZ1 nmr and emotion-related activity was extracted from the pMPFC activation through parametric imaging

analysis. It was found that the emotional pMPFC activity was greater in participants who scored higher on depressive mood scales. The results suggest that pMPFC also implements feedback-related emotional functions, which individually vary depending on depressive moods. NeuroReport 20:886-890 (C) 2009 Wolters Kluwer Health vertical bar Lippincott Williams & Wilkins.”
“Integrate and fire (IF) neurons have found widespread applications in computational neuroscience. Particularly important are stochastic versions of these models where the MTMR9 driving consists of a synaptic input modeled as white Gaussian noise with mean mu and noise intensity D. Different IF models have been proposed, the firing statistics of which depends nontrivially on the input parameters mu and D. In order to compare these models among each other, one must first specify the correspondence between their parameters. This can be done by determining which set of parameters (mu,D) of each model is associated with a given set of basic firing statistics as, for instance, the firing rate and the coefficient of variation (CV) of the interspike interval (ISI). However, it is not clear a priori whether for a given firing rate and CV there is only one unique choice of input parameters for each model.