Publications

2024

“System and method for handling rehabilitation strategy training for subject.”, Indian Patent Number– 507924 (Inventors: V Srinivasa Chakravarthy, Vignesh Muralidharan, Rukhmani Narayanamurthy, Samyukta Jayakumar and Sundari Elango)

2023

Schmidt R, Rose J, & Muralidharan V. Transient oscillations as computations for cognition: Analysis, modeling and function. Current Opinion in Neurobiology, 83, 102796.

Muralidharan V, Aron A R, Cohen M X*, & Schmidt R*. Two modes of midfrontal theta suggest a role in conflict and error processing. NeuroImage, 120107. (*Shared senior authors)

2022

Hannah R, Muralidharan V, & Aron A R. Failing to attend versus failing to stop: Single-trial decomposition of action-stopping in the stop signal task. Behavior Research Methods, 1-19.

Muralidharan V, Aron A R, & Schmidt R. Transient beta modulates decision thresholds during human action-stopping. NeuroImage, 254, 119145.

Hannah R*, Muralidharan V*, & Aron A R. Motor cortex oscillates at its intrinsic post-movement beta rhythm following real (but not sham) single pulse, rhythmic and arrhythmic transcranial magnetic stimulation. NeuroImage, 118975. (*Equal Contribution)

2021

Hannah R, Jana S, & Muralidharan V (2021). Does action-stopping involve separate pause and cancel processes? A view from premotor cortex. Cortex; a Journal Devoted to the Study of the Nervous System and Behavior.

Muralidharan V & Aron A R (2021). Behavioral Induction of a High Beta State in Sensorimotor Cortex Leads to Movement Slowing. Journal of Cognitive Neuroscience, 1-18.

2020

Hannah R*, Muralidharan V*, Sundby K K, & Aron A R (2020). Temporally-precise disruption of prefrontal cortex informed by the timing of beta bursts impairs human action-stopping. NeuroImage, 222, 117222. (*Equal Contribution)

Jana S*, Hannah R*, Muralidharan V, & Aron A R (2020). Temporal cascade of frontal, motor and muscle processes underlying human action-stopping. eLife, 9, e50371. (*Equal Contribution)

2019

Narayanamurthy R, Jayakumar S, Elango S, Muralidharan V, & Chakravarthy V S (2019). A Cortico-Basal Ganglia Model for choosing an optimal rehabilitation strategy in Hemiparetic Stroke. Scientific reports, 9(1), 1-14.

Muralidharan V, Yu X, Cohen M X, & Aron A R (2019). Preparing to Stop Action Increases Beta Band Power in Contralateral Sensorimotor Cortex. Journal of cognitive neuroscience, 1-12.

2018

Jayakumar S, Narayanamurthy R, Ramesh R, Soman K, Muralidharan V, & Chakravarthy V S (2018). Modeling the Effect of Environmental Geometries on Grid Cell Representations. Frontiers in neural circuits,12, 120.

Soman K, Muralidharan V, & Chakravarthy S (2018). An Oscillatory Neural Autoencoder Based on Frequency Modulation and Multiplexing. Frontiers in computational neuroscience, 12, 52.

Soman K, Muralidharan V, & Chakravarthy V S (2018). A unified hierarchical oscillatory network model of head direction cells, spatially periodic cells, and place cells. European Journal of Neuroscience, 47(10), 1266-1281.

Soman K, Muralidharan V, & Chakravarthy V S (2018). A model of multisensory integration and its influence on hippocampal spatial cell responses. IEEE Transactions on Cognitive and Developmental Systems, 10(3), 637-646.

Muralidharan V, Balasubramani P P, Chakravarthy V S, & Moustafa A A (2018). A Basal GangliaModel of Freezing of Gait in Parkinson’s Disease. In Computational Neuroscience Models of the Basal Ganglia (pp. 113-129). Springer, Singapore.

Muralidharan V, Mandali A., Balasubramani P P, Mehta H, Chakravarthy V S, & Jahanshahi M (2018). A Cortico-Basal Ganglia Model to Understand the Neural Dynamics of Targeted Reaching in Normaland Parkinson’s Conditions. In Computational Neuroscience Models of the Basal Ganglia (pp. 167-195). Springer, Singapore.

2017

Shivkumar S, Muralidharan V, & Chakravarthy V S (2017). A biologically plausible architecture of the striatum to solve context-dependent reinforcement learning tasks. Frontiers in neural circuits, 11, 45.

Muralidharan V, Balasubramani P P, Chakravarthy V S, Gilat M, Lewis S J, & Moustafa A A (2017). A Neurocomputational Model of the Effect of Cognitive Load on Freezing of Gait in Parkinson's Disease. Frontiers in human neuroscience, 10, 649.

2014

Muralidharan V, Balasubramani P P, Chakravarthy V S, Lewis S J, & Moustafa A A (2014). A computational model of altered gait patterns in parkinson’s disease patients negotiating narrow doorways. Frontiers in computational neuroscience, 7, 190.