Manish Dev Shrimali

According to our database, Manish Dev Shrimali authored at least 11 papers between 2007 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Unraveling vaccination behavior under misinformation in homogeneous and heterogeneous populations via integrated dynamical and network models.

Komal Tanwar, Viney Kumar, Manish Dev Shrimali, Jai Prakash Tripathi

Comput. Biol. Medicine, 2026

2024

Role of UPOs in Characterizing the Hidden Attractors: A Comparison with Self-Excited Attractors.

Medha Bhindwar, Vaibhav Varshney, Suresh Kumarasamy, Manish Dev Shrimali, Awadhesh Prasad

Int. J. Bifurc. Chaos, June, 2024

2023

Learning unidirectional coupling using echo-state network.

Swarnendu Mandal, Manish Dev Shrimali

CoRR, 2023

2015

Controlling Dynamics of Hidden Attractors.

Pooja Rani Sharma, Manish Dev Shrimali, Awadhesh Prasad, Nikolay V. Kuznetsov, Gennady A. Leonov

Int. J. Bifurc. Chaos, 2015

2013

Delayed q-deformed logistic map.

Manish Dev Shrimali, Subhashish Banerjee

Commun. Nonlinear Sci. Numer. Simul., 2013

2011

Computing with Coupled Chaotic Neuronal Maps.

Pooja Rani Sharma, Manish Dev Shrimali

Int. J. Unconv. Comput., 2011

2009

Properties of Threshold Coupled Chaotic Neuronal Maps.

Manish Dev Shrimali

Proceedings of the Natural Computing - 4th International Workshop on Natural Computing, 2009

2008

Threshold control of chaotic neural network.

Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara

Neural Networks, 2008

The Nature of Attractor Basins in multistable Systems.

Manish Dev Shrimali, Awadhesh Prasad, Ramakrishna Ramaswamy, Ulrike Feudel

Int. J. Bifurc. Chaos, 2008

2007

Chaos control in a neural network with threshold activated coupling.

Guoguang He, Manish Dev Shrimali, Kazuyuki Aihara

Proceedings of the International Joint Conference on Neural Networks, 2007

Control and Synchronization of Chaotic Neurons Under Threshold Activated Coupling.

Manish Dev Shrimali, Guoguang He, Sudeshna Sinha, Kazuyuki Aihara

Proceedings of the Artificial Neural Networks, 2007