14 citations · 33 across the 8 of their papers we have counts for
8 papers
Emergent E-I Structure in Performance-Evolved Reservoir Networks of Neuronal Population Dynamics
Manish Yadav
Understanding how network structure gives rise to neuronal dynamics and whether compact computational models can recover that structure from data alone is a central challenge in co…
Node pruning reveals compact and optimal substructures within large networks
Manish Yadav, Merten Stender
The structural complexity of reservoir networks poses a significant challenge, often leading to excessive computational costs and suboptimal performance. In this study, we introduc…
Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
Omid Sedehi, Manish Yadav, Merten Stender +1
Measurements acquired from distributed physical systems are often sparse and noisy. Therefore, signal processing and system identification tools are required to mitigate noise effe…
The impact of AI on engineering design procedures for dynamical systems
Kristin M. de Payrebrune, Kathrin Flaßkamp, Tom Ströhla +19
Artificial intelligence (AI) is driving transformative changes across numerous fields, revolutionizing conventional processes and creating new opportunities for innovation. The dev…
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
Henrik Ebel, Jan van Delden, Timo Lüddecke +15
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent…
Predicting multi-parametric dynamics of externally forced oscillator using reservoir computing and minimal data
Manish Yadav, Swati Chauhan, Manish Dev Shrimali +1
Mechanical systems exhibit complex dynamical behavior from harmonic oscillations to chaotic motion. The dynamics undergo qualitative changes due to changes to internal system param…
Evolution beats random chance: Performance-dependent network evolution for enhanced computational capacity
Manish Yadav, Sudeshna Sinha, Merten Stender
The quest to understand structure-function relationships in networks across scientific disciplines has intensified. However, the optimal network architecture remains elusive, parti…
Environment induced Symmetry Breaking of the Oscillation-Death State
Sudhanshu Shekhar Chaurasia, Manish Yadav, Sudeshna Sinha
We investigate the impact of a common external system, which we call a common environment, on the Oscillator Death (OD) states of a group of Stuart-Landau oscillators. The group of…