Fluid Intelligence Predicts Novel Rule Implementation in a Distributed Frontoparietal Control Network
نویسندگان
چکیده
Fluid intelligence has been associated with a distributed cognitive control or multiple-demand (MD) network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Human fluid intelligence is also intimately linked to task complexity, and the process of solving complex problems in a sequence of simpler, more focused parts. Here, a complex target detection task included multiple independent rules, applied one at a time in successive task epochs. Although only one rule was applied at a time, increasing task complexity (i.e., the number of rules) impaired performance in participants of lower fluid intelligence. Accompanying this loss of performance was reduced response to rule-critical events across the distributed MD network. The results link fluid intelligence and MD function to a process of attentional focus on the successive parts of complex behavior.SIGNIFICANCE STATEMENT Fluid intelligence is intimately linked to the ability to structure complex problems in a sequence of simpler, more focused parts. We examine the basis for this link in the functions of a distributed frontoparietal or multiple-demand (MD) network. With increased task complexity, participants of lower fluid intelligence showed reduced responses to task-critical events. Reduced responses in the MD system were accompanied by impaired behavioral performance. Low fluid intelligence is linked to poor foregrounding of task-critical information across a distributed MD system.
منابع مشابه
Global connectivity of prefrontal cortex predicts cognitive control and intelligence.
Control of thought and behavior is fundamental to human intelligence. Evidence suggests a frontoparietal brain network implements such cognitive control across diverse contexts. We identify a mechanism--global connectivity--by which components of this network might coordinate control of other networks. A lateral prefrontal cortex (LPFC) region's activity was found to predict performance in a hi...
متن کاملPresenting a Novel Algorithm to Optimal Designing Power Distribution Network in the Presence of DG
Regarding the nature of non-linear discrete placement, and in order to determine the optimal capacity of the substation, the goal in the present study will be a number of local optimum points. In this research, the problem of optimal placement posts to reduce power losses by considering Distributed Generation (DG). In formulating the objective function, geographical distribution density in the ...
متن کاملComparative study of computer simulation softwares
One of the methods for analyzing systems is simulation. Network simulation is a technique that models the behavior of the network by performing transaction calculations between different network entities and using mathematical formulas and taking observations from network products. A network simulator is a piece of software or hardware that predicts the behavior of a computer network without a ...
متن کاملMulti Objective Allocation of Distributed Generations and Capacitor Banks in Simultaneous
This paper has developed a novel multiobjective function for optimal sizing and sitting ofDistributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliabilityand reduce energy losses. The proposed function consists of four objectives: Cost of Energy NotSupplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss andinvestment. A novel st...
متن کاملA Novel Self-tuning Zone PID Controller for Temperature Control via a PLC code
S7-1200 with Tia Portal technology has become a Standard function of distributed controlsystems. Self-Tuning methods belong to Programmable Controllers (PLC) techniques. PLCtechniques contain software packages for advanced control based on mathematical methods. S7-1200 tools are designed to increase the Process Capacity, yield, and quality of products. Most ofthe present time digital industry r...
متن کامل