Tel: +27 12 420 2611
Academic qualifications: Bachelor of Engineering (Bangalore University), MSc (Indian Institute of Science), PhD (Indian Institute of Science)
Research interests: Topological Dynamics. Construction of Dynamical Systems from Data using Koopman's Operator Theory. Nonautonomous dynamical systems theory. Dynamics of Critical Phase Transitions. Dynamics of Recurrent Neural Networks and Machine Learning. Information Processing involving Neural and Complex Systems like Gene-Regulatory networks, Epileptic Networks and other Biological Systems.
NRF Rating: B3
Manjunath G Stability and Memory-loss go Hand-in-Hand: Three results in Dynamics and Computation. Proceedings of the Royal Society of London: Series A 476(2020) 20200563:1-16
G. Manjunath, Evolving Network Model that Almost Regenerates Epileptic Data, Neural Computation, Vol. 29(4), 937 – 967, 2017; download– https://goo.gl/DBR5Es
G. Manjunath & H. Jaeger, The dynamics of random difference equations can be remodeled by closed relations, SIAM J. Math. Anal., 46(1), 459 – 483, 2014; download https://goo.gl/1UNkBg
G. Manjunath & H. Jaeger, Echo state property linked to an input: exploring a fundamental characteristic of recurrent neural networks, Neural Computation, 25(3), 671-696, 2013; download– https://goo.gl/cCysVy
G. Manjunath & D. Fournier-Prunaret, Strong persistence of an attractor and generalized partial synchronization in a coupled chaotic system, Chaos, 21(2), 023110, 2011;download– https://goo.gl/EQLHF8
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