Anuththara Rupasinghe

According to our database, Anuththara Rupasinghe authored at least 7 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2022

Bayesian Inference of Latent spectral and Temporal Network Organizations from High dimensional Neural Data.

Anuththara Rupasinghe

PhD thesis, 2022

Granger Causal Inference from Spiking Observations via Latent Variable Modeling.

Sahar Khosravi, Anuththara Rupasinghe, Behtash Babadi

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2020

Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations.

Anuththara Rupasinghe, Behtash Babadi

IEEE Trans. Signal Process., 2020

Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations.

Anuththara Rupasinghe, Behtash Babadi

Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020

Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data.

Anuththara Rupasinghe, Shoutik Mukherjee, Behtash Babadi

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations.

Anuththara Rupasinghe, Behtash Babadi

CoRR, 2019

Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations.

Anuththara Rupasinghe, Behtash Babadi

Proceedings of the IEEE Data Science Workshop, 2019