Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Integrate-and-fire biological oscillators
Date
2011-01-01
Author
Akhmet, Marat
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
17
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/98915
Journal
NONLINEAR HYBRID CONTINUOUS/DISCRETE-TIME MODELS
Collections
Department of Mathematics, Article
Suggestions
OpenMETU
Core
Integrating multi-attribute similarity networks for robust representation of the protein space
Camoglu, Orhan; Can, Tolga; Singh, Ambuj K. (Oxford University Press (OUP), 2006-07-01)
Motivation: A global view of the protein space is essential for functional and evolutionary analysis of proteins. In order to achieve this, a similarity network can be built using pairwise relationships among proteins. However, existing similarity networks employ a single similarity measure and therefore their utility depends highly on the quality of the selected measure. A more robust representation of the protein space can be realized if multiple sources of information are used.
INTEGRATION OF 2D IMAGES AND RANGE DATA FOR OBJECT SEGMENTATION AND RECOGNITION
Bayramoglu, Neslihan; Akman, Oytun; Alatan, Abdullah Aydın; Jonker, Pieter (2009-09-11)
In the field of vision based robot actuation, in order to manipulate objects in an environment, background separation and object selection a re fundamental tasks that should be carried out in a fast and efficient way. In this paper, we propose a method to segment possible object locations in the scene and recognize them via local-point based representation. Exploiting the resulting 3D structure of the scene via a time-of-flight camera, background regions are eliminated with the assumption that the objects a...
Integration of building and urban nD data to support intelligent cities
Hamilton, Andy; Wang, Hongxia; Tah, Joe; Tanyer, Ali Murat; Curwell, Steve; Marshallponting, Amanda; Song, Yu; Arayici, Yusuf (Taylor & Francis, 2007-01-01)
Integrating global land-cover and soil datasets to update saturated hydraulic conductivity parameterization in hydrologic modeling
Trinh, T.; Kavvas, M. L.; Ishida, K.; Ercan, Ali; Chen, Z. Q.; Anderson, M. L.; Ho, C.; Nguyen, T. (2018-08-01)
Soil properties play an important role in watershed hydrology and environmental modeling. In order to model realistic hydrologic processes, it is necessary to obtain compatible soil data. This study introduces a new method that integrates global soil databases with land use/land cover (LULC) databases to better represent saturated hydraulic conductivity (Ks) which is one of the most important soil properties in hydrologic modeling. The Ks is modified by means of uniting physical infiltration mechanisms with...
Integration of SCADA (Supervisory Control and Data Acquisition) with GIS (Geographic Information Systems) for water quality modeling of distribution network
Bağcı, Gökhan; Merzi, Nuri; Soyupak, Selçuk; Department of Environmental Engineering (2001)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
M. Akhmet, “Integrate-and-fire biological oscillators,”
NONLINEAR HYBRID CONTINUOUS/DISCRETE-TIME MODELS
, vol. 8, pp. 175–199, 2011, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/98915.