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V Kadirkamanathan

Explore the profile of V Kadirkamanathan including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 8
Citations 36
Followers 0
Related Specialties
Radiology
Biomedical Engineering
Biochemistry
Top 10 Co-Authors
P Aram
D R Freestone
D B Grayden
M Dewar
K Scerri
S A Billings
P C Wright
Y Zhao
P Stewart
E Hanna
Published In
Neuroimage
ISA Trans
Biochem Soc Trans
J R Soc Interface
IEEE Trans Neural Netw
Affiliations
Soon will be listed here.
Recent Articles
1.
Model-based estimation of intra-cortical connectivity using electrophysiological data
Aram P, Freestone D, Cook M, Kadirkamanathan V, Grayden D
Neuroimage . 2015 Jun; 118:563-75. PMID: 26116963
This paper provides a new method for model-based estimation of intra-cortical connectivity from electrophysiological measurements. A novel closed-form solution for the connectivity function of the Amari neural field equations is...
2.
A century of variation in the dependence of Greenland iceberg calving on ice sheet surface mass balance and regional climate change
Bigg G, Wei H, Wilton D, Zhao Y, Billings S, Hanna E, et al.
Proc Math Phys Eng Sci . 2014 Jun; 470(2166):20130662. PMID: 24910517
Iceberg calving is a major component of the total mass balance of the Greenland ice sheet (GrIS). A century-long record of Greenland icebergs comes from the International Ice Patrol's record...
3.
Use of kernel-based Bayesian models to predict late osteolysis after hip replacement
Aram P, Kadirkamanathan V, Wilkinson J
J R Soc Interface . 2013 Sep; 10(88):20130678. PMID: 24047875
We studied the relationship between osteolysis and polyethylene wear, age at surgery, body mass index and height in 463 subjects (180 osteolysis and 283 controls) after cemented Charnley total hip...
4.
Spatiotemporal multi-resolution approximation of the Amari type neural field model
Aram P, Freestone D, Dewar M, Scerri K, Jirsa V, Grayden D, et al.
Neuroimage . 2012 Nov; 66:88-102. PMID: 23116813
Neural fields are spatially continuous state variables described by integro-differential equations, which are well suited to describe the spatiotemporal evolution of cortical activations on multiple scales. Here we develop a...
5.
A data-driven framework for neural field modeling
Freestone D, Aram P, Dewar M, Scerri K, Grayden D, Kadirkamanathan V
Neuroimage . 2011 Feb; 56(3):1043-58. PMID: 21329758
This paper presents a framework for creating neural field models from electrophysiological data. The Wilson and Cowan or Amari style neural field equations are used to form a parametric model,...
6.
Metabolic flux distribution analysis by 13C-tracer experiments using the Markov chain-Monte Carlo method
Yang J, Wongsa S, Kadirkamanathan V, Billings S, Wright P
Biochem Soc Trans . 2005 Oct; 33(Pt 6):1421-2. PMID: 16246135
Metabolic flux analysis using 13C-tracer experiments is an important tool in metabolic engineering since intracellular fluxes are non-measurable quantities in vivo. Current metabolic flux analysis approaches are fully based on...
7.
Dynamic model tracking design for low inertia, high speed permanent magnet ac motors
Stewart P, Kadirkamanathan V
ISA Trans . 2004 Mar; 43(1):111-22. PMID: 15000141
Permanent magnet ac (PMAC) motors have existed in various configurations for many years. The advent of rare-earth magnets and their associated highly elevated levels of magnetic flux makes the permanent...
8.
Dynamic structure neural networks for stable adaptive control of nonlinear systems
Fabri S, Kadirkamanathan V
IEEE Trans Neural Netw . 1996 Jan; 7(5):1151-67. PMID: 18263511
An adaptive control technique, using dynamic structure Gaussian radial basis function neural networks, that grow in time according to the location of the system's state in space is presented for...