A distributed , dynamic , parallel computational model : 1 the role of noise in velocity storage

نویسنده

  • Faisal Karmali
چکیده

A distributed, dynamic, parallel computational model: 1 the role of noise in velocity storage 2 3 4 Faisal Karmali, Ph.D. 5 Jenks Vestibular Physiology Lab 6 Massachusetts Eye and Ear Infirmary, Boston, MA 7 Department of Otology and Laryngology, Harvard Medical School, Boston MA, USA 8 9 Daniel M. Merfeld, Ph.D. 10 Jenks Vestibular Physiology Lab 11 Massachusetts Eye and Ear Infirmary, Boston, MA 12 Department of Otology and Laryngology, Harvard Medical School, Boston, MA, USA 13 Harvard School of Engineering and Applied Sciences, Cambridge, MA 14 15 Author contributions: 16 Dr. Karmali contributed to the scientific ideas, the design and implementation of models, 17 the analysis, and was the primary author of the manuscript. 18 Dr. Merfeld contributed to the scientific ideas, the design of models, and provided 19 feedback on the manuscript. 20 21 22 Running head: 23 A distributed model of the role of noise in velocity storage 24 25 Address for correspondence: 26 Faisal Karmali 27 Jenks Vestibular Physiology Lab 28 Massachusetts Eye and Ear Infirmary 29 243 Charles St. 30 Boston, MA 02114 31 [email protected] 32 Fax +1 (617) 573-5596 33 Phone +1 (617) 573-5593 34 35 Abstract– 237 words 36 Body – 10561 words, 38 pages 37 Appendices – 187 words 38 Figures – 9 39 Tables – 3 40 41 42 Articles in PresS. J Neurophysiol (April 18, 2012). doi:10.1152/jn.00883.2011

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A distributed, dynamic, parallel computational model: the role of noise in velocity storage.

Networks of neurons perform complex calculations using distributed, parallel computation, including dynamic "real-time" calculations required for motion control. The brain must combine sensory signals to estimate the motion of body parts using imperfect information from noisy neurons. Models and experiments suggest that the brain sometimes optimally minimizes the influence of noise, although it...

متن کامل

Flow Variables Prediction Using Experimental, Computational Fluid Dynamic and Artificial Neural Network Models in a Sharp Bend

Bend existence induces changes in the flow pattern, velocity profiles and water surface. In the present study, based on experimental data, first three-dimensional computational fluid dynamic (CFD) model is simulated by using Fluent two-phase (water + air) as the free surface and the volume of fluid method, to predict the two significant variables (velocity and channel bed pressure) in 90º sharp...

متن کامل

Parleda: a Library for Parallel Processing in Computational Geometry Applications

ParLeda is a software library that provides the basic primitives needed for parallel implementation of computational geometry applications. It can also be used in implementing a parallel application that uses geometric data structures. The parallel model that we use is based on a new heterogeneous parallel model named HBSP, which is based on BSP and is introduced here. ParLeda uses two main lib...

متن کامل

Model Predictive Control of Distributed Energy Resources with Predictive Set-Points for Grid-Connected Operation

This paper proposes an MPC - based (model predictive control) scheme to control active and reactive powers of DERs (distributed energy resources) in a grid - connected mode (either through a bus with its associated loads as a PCC (point of common coupling) or an MG (micro - grid)). DER may be a DG (distributed generation) or an ESS (energy storage system). In the proposed scheme, the set - poin...

متن کامل

Chemical Reaction Effects on Bio-Convection Nanofluid flow between two Parallel Plates in Rotating System with Variable Viscosity: A Numerical Study

In the present work, a mathematical model is developed and analyzed to study the influence of nanoparticle concentration through Brownian motion and thermophoresis diffusion. The governing system of PDEs is transformed into a coupled non-linear ODEs by using suitable variables. The converted equations are then solved by using robust shooting method with the help of MATLAB (bvp4c). The impacts o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012