Доступ предоставлен для: Guest
Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
Critical Reviews™ in Biomedical Engineering
SJR: 0.207 SNIP: 0.376 CiteScore™: 0.79

ISSN Печать: 0278-940X
ISSN Онлайн: 1943-619X

Выпуски:
Том 47, 2019 Том 46, 2018 Том 45, 2017 Том 44, 2016 Том 43, 2015 Том 42, 2014 Том 41, 2013 Том 40, 2012 Том 39, 2011 Том 38, 2010 Том 37, 2009 Том 36, 2008 Том 35, 2007 Том 34, 2006 Том 33, 2005 Том 32, 2004 Том 31, 2003 Том 30, 2002 Том 29, 2001 Том 28, 2000 Том 27, 1999 Том 26, 1998 Том 25, 1997 Том 24, 1996 Том 23, 1995

Critical Reviews™ in Biomedical Engineering

DOI: 10.1615/CritRevBiomedEng.2014011732
pages 419-436

Understanding the Retina: A Review of Computational Models of the Retina from the Single Cell to the Network Level

Tianruo Guo
Graduate School of Biomedical Engineering, UNSW Australia, Sydney, NSW 2052, Australia
David Tsai
Graduate School of Biomedical Engineering, UNSW Australia, Sydney, NSW 2052, Australia; Howard Hughes Medical Institute, Biological Sciences, Bioelectronic Systems Lab, Electrical Engineering, Columbia University, New York, NY
Siwei Bai
Graduate School of Biomedical Engineering, University of New South Wales, NSW 2052, Australia
John W. Morley
School of Medicine, University of Western Sydney, Penrith, NSW, Australia
Gregg J. Suaning
Graduate School of Biomedical Engineering, UNSW Australia, Sydney, NSW 2052, Australia
Nigel H. Lovell
Graduate School of Biomedical Engineering, UNSW Australia, Sydney, NSW 2052, Australia
Socrates Dokos
Graduate School of Biomedical Engineering, UNSW Australia, Sydney, NSW 2052, Australia; Department of Biomedical Engineering, Faculty of Engineering, Kuala Lumpur 50603, Malaysia

Краткое описание

The vertebrate retina is a clearly organized signal-processing system. It contains more than 60 different types of neurons, arranged in three distinct neural layers. Each cell type is believed to serve unique role(s) in encoding visual information. While we now have a relatively good understanding of the constituent cell types in the retina and some general ideas of their connectivity, with few exceptions, how the retinal circuitry performs computation remains poorly understood. Computational modeling has been commonly used to study the retina from the single cell to the network level. In this article, we begin by reviewing retinal modeling strategies and existing models. We then discuss in detail the significance and limitations of these models, and finally, we provide suggestions for the future development of retinal neural modeling.


Articles with similar content:

Brain-Machine Interfaces: Electrophysiological Challenges and Limitations
Critical Reviews™ in Biomedical Engineering, Vol.39, 2011, issue 1
Mijail D. Serruya, Bradley C. Lega, Kareem Zaghloul
Reverse Physiology: Discovery of the Novel Neuropeptide, Orphanin FQ/Nociceptin
Critical Reviews™ in Neurobiology, Vol.12, 1998, issue 3
Olivier Civelli, Rainer Reinscheid, Hans-Peter Nothacker
ADAPTIVE SAMPLING WITH TOPOLOGICAL SCORES
International Journal for Uncertainty Quantification, Vol.3, 2013, issue 2
Dan Maljovec, Valerio Pascucci, Bei Wang, Ana Kupresanin, Gardar Johannesson, Peer-Timo Bremer
Cytoskeleton Dynamics in the Retina
Critical Reviews™ in Eukaryotic Gene Expression, Vol.24, 2014, issue 3
akshay anand, Sridhar Bammidi, Parul Bali
Computational Modeling of Bone Cells and Their Biomechanical Behaviors in Responses to Mechanical Stimuli
Critical Reviews™ in Eukaryotic Gene Expression, Vol.29, 2019, issue 1
Jianghui Dong, Cory J. Xian, Liping Wang