Research & reviews journal of computational biology (vol3 issue2) by STM Journals Publication

ISSN 2349-3720

Research & Reviews Journal of

Computational Biology May - August 2014

(RRJoCB)

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STM JOURNALS

I take the privilege to present the hard copy compilation for the Volume 3 Issue (2) of Research & Reviews: Journal of Computational Biology (RRJoCB). The intension of RRJoCB is to create an atmosphere that stimulates creativeness, research and growth in the area of Computational Biology. The development and growth of the mankind is the consequence of brilliant Research done by eminent Scientists and Engineers in every field. RRJoCB provides an outlet for Research findings and reviews in areas of Computational Biology found to be relevant for National and International recent developments & research initiative. The aim and scope of the Journal is to provide an academic medium and an important reference for the advancement and dissemination of Research results that support high level learning, teaching and research in the domain of Computational Biology. Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for their continued support and invaluable contributions and suggestions in the form of authoring writeups/ reviewing and providing constructive comments for the advancement of the journals. With regards to their due continuous support and co-operation, we have been able to publish quality Research/Reviesw findings for our customers base. I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra Director STM Journals

Research & Reviews : Journal of Computational Biology

Contents

1. Characterizing Face Encoding Mechanism by Selective Object Pattern in Brains using Synthetic Intelligence and Its Simultaneous Replication of Visual System That Encode Faces Ankush Rai

2. Computational Modeling Study of Synfire Chains from Multiple Plasticity Mechanisms for Model Development at Neural Level: Introducing an Evolving Digital Micro-Brain Ankush Rai

3. Arterial Stiffness and Parameters for Its Assessment Pankti Brar, Sharda Vashisth

Research & Reviews: Journal of Computational Biology ISSN: 2319-3433 (online), ISSN: 2349-3720 (print) Volume 3, Issue 2 www.stmjournals.com

Characterizing Face Encoding Mechanism by Selective Object Pattern in Brains using Synthetic Intelligence and Its Simultaneous Replication of Visual System That Encode Faces Ankush Rai* Department of Applied Science, CRIAD Laboratories, Smiriti Nagar, Bhilai 490020, India

Abstract Various aspects of facial recognition information for identifying individuals are still remained unknown. Our goal in the research papers is to identify factors from parahippocampal place area (PPA)with means of computational method that trigger the recognition process and what constitutes facial encoding by measuring the selectively responses in PPA to images of objects. We use synthetic intelligent computer model to help categories the feature selectivity in brain patterns and simultaneously training it as a building block for visual system which mimics and categorized shape selective responses in PPA.

Keywords: Face perception; FMRI; Neural representation; Face recognition; Parahippocampal activity; Computational neuroscience

Research & Reviews: Journal of Computational Biology ISSN: 2319-3433 (online), ISSN: 2349-3720 (print) Volume 3, Issue 2 www.stmjournals.com

Computational Modeling Study of Synfire Chains from Multiple Plasticity Mechanisms for Model Development at Neural Level: Introducing an Evolving Digital Micro-Brain Ankush Rai* Department of Applied Science, CRIAD Laboratories, Smiriti Nagar, Bhilai 490020, India

Abstract In a biological specimen with evolved brain the interconnected neural networks by plasticity mechanisms bring out intelligence, consciousness, and emotions by a collective firing of a sets of neurons operating at different time delays and oscillations. Therefore, the nature of our study is to computationally test a mathematical model to mimic neurological events in general and provides a theoretical and experimental framework that links neural function to model-based learning and theory of cognitive control; which in turn will bridge the junction of biology and computer science. This will allow us to sculpt such neural networks into effective data processor.

Keywords: synfire chain, recurrent neural network, self-organization network, spiketiming-dependent plasticity

Research & Reviews: Journal of Computational Biology ISSN: 2319-3433 (online), ISSN: 2349-3720 (print) Volume 3, Issue 2 www.stmjournals.com

Arterial Stiffness and Parameters for Its Assessment Pankti Brar1*, Sharda Vashisth2 1

ECE Department, Dronacharya College of Engineering, Gurgaon, India 2 EECE Department, ITM University, Gurgaon, India

Abstract In this paper, we have presented a review of the changes that occur in the vasculature with age. These all lead to increased central arterial stiffness. Arterial stiffness lead to variation in the blood flow physics, which inturn causes the reflected pressure wave to reach the aortic root in the systole. This leads to increase in the systolic blood pressure and ultimately the pulse pressure increases. The article further reviews that vascular damage can be assessed by pulse wave velocity (PWV) and the augmentation index (AI). Both these parameters can be easily determined noninvasively and are reproducible.

Keywords: Arterial stiffness, Augmentation index, Pulse wave velocity, Forward arterial wave, Reflected arterial wave