Title: Neural Coding of Passive Lump Detection in Compliant Artificial Tissue. 2 Introduction
نویسندگان
چکیده
Editor in Chief: Dr. David Linden 1 Title: Neural Coding of Passive Lump Detection in Compliant Artificial Tissue. 2 3 Abbreviated Title: Neural Coding of Artificial Lump Detection. 4 5 Authors and Author Addresses: 6 James C. Gwilliam, Takashi Yoshioka, Allison M. Okamura, and Steven S. 7 Hsiao* 8 Zanvyl Krieger Mind/Brain Institute and Kennedy-Krieger Institute 9 Departments of Neuroscience and Biomedical Engineering 10 Johns Hopkins University 11 3400 N Charles St 12 Baltimore, MD 21218 13 14 *Corresponding Author: 15 Steven Hsiao 16 Zanvyl Krieger Mind/Brain Institute 17 Johns Hopkins University 18 338 Krieger Hall 19 3400 N Charles St 20 Baltimore, MD 21218 21 Phone: (410) 516-6409 22 Fax: (410) 516-8648 23 Email: [email protected] 24 25 Number of Figures: 12 26 Articles in PresS. J Neurophysiol (May 7, 2014). doi:10.1152/jn.00032.2013
منابع مشابه
Neural coding of passive lump detection in compliant artificial tissue.
Here, we investigate the neural mechanisms of detecting lumps embedded in artificial compliant tissues. We performed a combined psychophysical study of humans performing a passive lump detection task with a neurophysiological study in nonhuman primates (Macaca mulatta) where we recorded the responses of peripheral mechanoreceptive afferents to lumps embedded at various depths in intermediates (...
متن کاملRadial Basis Neural Network Based Islanding Detection in Distributed Generation
This article presents a Radial Basis Neural Network (RBNN) based islanding detection technique. Islanding detection and prevention is a mandatory requirement for grid-connected distributed generation (DG) systems. Several methods based on passive and active detection scheme have been proposed. While passive schemes have a large non detection zone (NDZ), concern has been raised on active method ...
متن کاملFace Detection with methods based on color by using Artificial Neural Network
The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...
متن کاملA Method for Body Fat Composition Analysis in Abdominal Magnetic Resonance Images Via Self-Organizing Map Neural Network
Introduction: The present study aimed to suggest an unsupervised method for the segmentation of visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) in axial magnetic resonance (MR) images of the abdomen. Materials and Methods: A self-organizing map (SOM) neural network was designed to segment the adipose tissue from other tissues in the MR images. The segmentation of SAT and VA...
متن کاملComparison between artificial neural network and radiobiological modeling for prediction of thyroid gland complications of after radiotherapy
Introduction: Hypothyroidism is one of the frequent side effects of radiotherapy of head and neck cancers, breast cancer, and Hodgkin's lymphoma. It is recommended to estimate the normal tissue complication probability of thyroid gland using radiobiological modeling during treatment planning. Moreover, the use of artificial neural network is also proposed as a new method for t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014