An Optimized Clustering Approach for Automated Detection of White Matter Lesions in Mri Brain Images

Settings White Matter lesions (WMLs) are small areas of dead cells found in parts of the brain. In general, it is difficult for medical experts to accurately quantify the WMLs due to decreased contrast between White Matter (WM) and Grey Matter (GM). The aim of this paper is to automatically

Performance Analysis of Unsupervised Clustering Methods for Brain Tumor Segmentation

Medical image processing is the most challenging and emerging field of neuroscience. The ultimate goal of medical image analysis in brain MRI is to extract important clinical features that would improve methods of diagnosis & treatment of disease. This paper focuses on methods to detect & extract brain tumour from

Brain-Like Artificial Intelligence for Automation – Foundations, Concepts and Implementation Examples

Over the last decades, automation technology has made serious progress and can today automate a wide range of tasks having before needed human physical and mental abilities. Nevertheless, a number of important problem domains remain that cannot yet be handled by our current machines and computers. A few prominent examples

Brain Signal Analysis Using Eeg and Entropy to Study the Effect of Physical and Mental Tasks on Cognitive Performance

Some theoretical control models posit that the fatigue which is developed during physical activity is not always peripheral and it is the brain which causes this feeling of fatigue. This fatigue develops due to a decrease of metabolic resources to and from the brain that modulates physical performance. Therefore, this research was conducted

New Ideas for Brain Modelling

This paper describes some biologically-inspired processes that could be used to build the sort of networks that we associate with the human brain. New to this paper, a ‘refined’ neuron will be proposed. This is a group of neurons that by joining together can produce a more analogue system, but with the same

The Brain and Propranolol Pharmacokinetics in the Elderly

Propranolol, a non-selective β-blocker, has been found to have a tremendous array of indications. Recent evidence has suggested that may be effective in patients suffering from post-traumatic stress disorder by suppressing activity in the amygdala and thereby inhibiting emotional memory formation. Dosage requirements have been well established in the pediatric and adult population, however, there

On the Relationship Between Brain Laterality and Language Proficiency in L2: A Replication Study

The present paper attempted to investigate whether there is any significant relationship between participants’ brain laterality and L2 proficiency level. To carry out the experiment, 30 participants administered in the present study. Fifteen of them did not have any English language learning experience and were at the start of language

Computational Intelligence in a Human Brain Model

This paper focuses on the current trends in brain research domain and the current stage of development of research for software and hardware solutions, communication capabilities between: human beings and machines, new technologies, nano-science and Internet of Things (IoT) devices. The proposed model for Human Brain assumes main similitude between human

Brain Functors: a Mathematical Model of Intentional Perception and Action

Category theory has foundational importance because it provides conceptual lenses to characterize what is important and universal in mathematics – with adjunctions being the primary lens. If adjunctions are so important in mathematics, then perhaps they will isolate concepts of some importance in the empirical sciences. But the applications of