cognitive deficits such as impairments in attention, memory, information processing and executive functioning can be found in some parkinson's disease (pd) patients. recent studies suggested that pd drivers generally performed poorer than their healthy age-matched controls with regards to their cognitive and motor abilities during the psychometric testing. according to michon’s model of ca...

A study was conducted to determine if leaders with high cognitive complexity scores had better performance and manifest different behavior than leaders with low complexity scores. The results Indicated that the performance of groups with high complexity leaders was significantly better than groups with low complexity leaders. No specific behavioral differences were found, but high complexity le...

this study examined the effects of aural and written prompts under two planning conditions (i.e. pre-task planning and no planning) on complexity, accuracy, and fluency of test takers' writing production. forty learners in an english institute, who had already been classified as intermediate according to the oxford placement test, were assigned to two planning conditions (i.e. no planning and p...

This paper examines how primitive skills associated with occupations are formed and rewarded in the labor market over the careers of young male high school graduates. The objective task complexity measurement from the Dictionary of Occupational Titles enables a more direct look into primitive skills of workers. Through characterizing a worker’s optimal occupational choice, I show that the task ...

One of the building blocks in Monte Carlo (MC) treatment planning is to convert patient CT data to MC compatible phantoms, consisting of density and media matrices. The resulting dose distribution is highly influenced by the accuracy of the conversion. Two major contributing factors are precise conversion of CT number to density and proper differentiation between air and lung. Existing tools do...

background: cognitive impairment profoundly influences on older adults’ activities and quality of life. therefore, optimizing and remediating age-associated cognitive decline have great importance. objectives: to evaluate the effect of 8 weeks (3 day /week) computer based brain training on cognitive performance in old women with mild cognitive impairment (mci). materials and methods: this rando...

This chapter surveys the use of logic and computational complexity theory in cognitive science. We emphasize in particular the role played by logic in bridging the gaps between Marr’s three levels: representation theorems for non-monotonic logics resolve algorithmic/implementation debates, while complexity theory probes the relationship between computational task analysis and algorithms. We arg...

Researchers often treat workload as a task-dependent variable. To evaluate the effect of workload on individuals' performance, researchers commonly use several methods, such as varying the complexity or number of tasks that test participants are asked to handle or placing individuals under time constraints. Only rarely have researchers investigated workload as a variable dependent on individual...

In this study, we propose advancing all-neural speech recognition by directly incorporating attention modeling within the Connectionist Temporal Classification (CTC) framework. In particular, we derive new context vectors using time convolution features to model attention as part of the CTC network. To further improve attention modeling, we utilize content information extracted from a network r...

The issue of complexity is more and more present in numerous domains of biological research, including aging research. In the present paper, based on a selective review of literature, we propose both a conceptual and a methodological framework to address age-related changes in functional complexity of the neurobehavioral system, presumably resulting from modifications of the coupling between co...