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33
Effective connectivity of the fronto-parietal network during attentional control
- Journal of Cognitive Neuroscience
, 2010
"... ■ The ACC, the dorsolateral prefrontal cortex (DLPFC), and the parietal cortex near/along the intraparietal sulcus (IPS) are mem-bers of a network subserving attentional control. Our recent study revealed that these regions participate in both response anticipa-tion and conflict processing. However, ..."
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■ The ACC, the dorsolateral prefrontal cortex (DLPFC), and the parietal cortex near/along the intraparietal sulcus (IPS) are mem-bers of a network subserving attentional control. Our recent study revealed that these regions participate in both response anticipa-tion and conflict processing. However, little is known about the relative contribution of these regions in attentional control and how the dynamic interactions among these regions are modu-lated by detection of predicted versus unpredicted targets and con-flict processing. Here, we examined effective connectivity using dynamic causal modeling among these three regions during a flanker task with or without a target onset cue. We compared variousmodels inwhichdifferent connections amongACC,DLPFC, and IPS were modulated by bottom–up stimulus-driven surprise and top–down conflict processing using Bayesian model selection procedures. The most optimal of these models incorporated con-textualmodulation that allowed processing of unexpected (surpris-ing) targets to mediate the influence of the IPS over ACC and DLPFC and conflict processing to mediate the influence of ACC and DLPFC over the IPS. This result suggests that the IPS plays an initiative role in this network in the processing of surprise targets, whereas ACC and DLPFC interact with each other to resolve con-flict through attentional modulation implemented via the IPS. ■
Comparing dynamic causal models using AIC, BIC and free energy
- NeuroImage
, 2012
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, 2012
"... doi: 10.3389/fnhum.2012.00027 A selective review of multimodal fusion methods in schizophrenia ..."
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doi: 10.3389/fnhum.2012.00027 A selective review of multimodal fusion methods in schizophrenia
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, 2010
"... We suggested recently that attention can be understood as inferring the level of uncertainty or precision during hierarchical perception. In this paper, we try to substantiate this claim using neuronal simulations of directed spatial attention and biased competition. These simulations assume that ne ..."
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We suggested recently that attention can be understood as inferring the level of uncertainty or precision during hierarchical perception. In this paper, we try to substantiate this claim using neuronal simulations of directed spatial attention and biased competition. These simulations assume that neuronal activity encodes a probabilistic representation of the world that optimizes free-energy in a Bayesian fashion. Because free-energy bounds surprise or the (negative) log-evidence for internal models of the world, this optimization can be regarded as evidence accumulation or (generalized) predictive coding. Crucially, both predictions about the state of the world generating sensory data and the precision of those data have to be optimized. Here, we show that if the precision depends on the states, one can explain many aspects of attention. We illustrate this in the context of the Posner paradigm, using the simulations to generate both psychophysical and electrophysiological responses. These simulated responses are consistent with attentional bias or gating, competition for attentional resources, attentional capture and associated speed-accuracy trade-offs. Furthermore, if we present both attended and nonattended stimuli simultaneously, biased competition for neuronal representation emerges as a principled and straightforward property of Bayes-optimal perception.
NeuroImage 47 (2009) 1628–1638 Contents lists available at ScienceDirect
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NeuroImage 45 (2009) 453–462 Contents lists available at ScienceDirect
"... journal homepage: www.elsevier.com/locate/ynimg Forward and backward connections in the brain: A DCM study of functional asymmetries ..."
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journal homepage: www.elsevier.com/locate/ynimg Forward and backward connections in the brain: A DCM study of functional asymmetries
NeuroImage 46 (2009) 1004–1017 Contents lists available at ScienceDirect
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NeuroImage 44 (2009) 796–811 Contents lists available at ScienceDirect
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NeuroImage 42 (2008) 649–662 Contents lists available at ScienceDirect
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