Publications

Publications:

Dheemant Jallepalli, Shilpa Dang, 2025. Cortico-subcortical converging organization at rest. Scientific Reports 15 (32133). https://www.nature.com/articles/s41598-025-18023-9

Shilpa Dang, Jessica E. Antono, Igor Kagan, and Arezoo Pooresmaeili, 2024. Modality-specific and modality-general representations of subjective value value in frontal cortex. Nature Communications Biology 7 (1), 1550. https://www.nature.com/articles/s42003-024-07253-8 

Adarsh Palaskar, Shilpa Dang 2024. How pupil tracks cognitive processes underlying internally- and externally-directed attention tasks. Proceedings of Cognitive Science Society, Presented at Cognitive Science Conference - Dynamics of Cognition, July 2024, Rotterdam, NL

Jessica E. Antono, Shilpa Dang, Ryszard Auksztulewicz, Arezoo Pooresmaeili, 2023. Distinct patterns of connectivity between brain regions underlie the intra-modal and cross-modal value-driven modulations of the visual cortex. Journal of Neuroscience 43 (44). 7361-7375.

Shilpa Dang and Arezoo Pooresmaeili, 2022. Distinct valuation processes underlying learning, but not decision-making, across reward stimuli from distinct sensory domains: A pupillometry study. (Work in progress)

Shilpa Dang and Santanu Chaudhury, 2019.  Novel Relative Relevance Score for estimating Effective Connectivity from fMRI using an explainable neural network approach. Journal of Neuroscience Methods 326. DOI: c.

Shilpa Dang, Santanu Chaudhury, Brejesh Lall, and Prasun Kumar Roy, 2018. Tractography-based score for learning Effective Connectivity from Multimodal imaging data using dynamic Bayesian networks. IEEE Transactions on Biomedical Engineering 65 (5), 1057-1068. DOI: 10.1109/TBME.2017.2738035

Shilpa Dang, Santanu Chaudhury, Brejesh Lall, and Prasun Kumar Roy, 2017. The Dynamic Programming High-Order Dynamic Bayesian Network Learning for identifying Effective Connectivity from fMRI. Journal of Neuroscience Methods 285 (5), 33 - 44. DOI: 10.1016/j.jneumeth.2017.05.009.

Shilpa Dang, Santanu Chaudhury, Brejesh Lall, and Prasun Kumar Roy, 2016. Learning Effective Connectivity from fMRI using Autoregressive hidden Markov model with missing data. Journal of Neuroscience Methods 278 (8), 87 - 100. DOI: 10.1016/j.jneumeth.2016.12.019.

Shilpa Dang, Santanu Chaudhury, Brejesh Lall, and Prasun Kumar Roy, 2016. Autoregressive Hidden Markov Model with Missing Data for Modelling Functional MR Imaging Data. ICVGIP, Guwahati, India. DOI: 10.1145/3009977.3010021

Shilpa Dang, Santanu Chaudhury, Brejesh Lall, and Prasun Kumar Roy, 2015. Assessing Assumptions of Multivariate Linear Regression Framework implemented for Directionality Analysis of fMRI. 37th International Conference of IEEE EMBS, Milan, Italy, 2868-2871.