Publications

Journal articles

  1. A. Rupasinghe, A. S. Charles, and J. W. Pillow.
    Continuous partitioning of neuronal variability.
    eLife, 15:RP109719,2026.
    Code

  2. P. Jendrichovsky, S. Khosravi, A. Rupasinghe, K. Maximov, P. Guo, B. Babadi, and P. O. Kanold.
    Patchy harmonic functional connectivity of the mouse auditory cortex.
    Proceedings of the National Academy of Sciences (PNAS) U.S.A., 122(27): e2510012122, 2025.

  3. A. Rupasinghe, N. A. Francis, J. Liu, Z. Bowen, P. O. Kanold, and B. Babadi.
    Direct Extraction of Signal and Noise Correlations from Two-Photon Calcium Imaging of Ensemble Neuronal Activity.
    eLife, 10:e68046, 2021.
    Data | Code

  4. A. Rupasinghe and B. Babadi.
    Multitaper Analysis of Semi-Stationary Spectra From Multivariate Neuronal Spiking Observations.
    IEEE Transactions on Signal Processing, Vol. 68, pp. 4328-4396, 2020.
    Code

  5. S. S. P. Vithana, A. M. R. Abeysekara, T. S. J. Oorloff, A. Rupasinghe, H. M. V. R. Herath, G. M. R. I. Godaliyadda, and M. P. B. Ekanayake.
    Comparison of Two Algorithms for Land Cover Mapping Based on Hyperspectral Imagery.
    International Journal on Advances in ICT for Emerging Regions (ICTer), 11(1), pp. 1-10, 2018.

Conference papers

  1. A. Rupasinghe and J. W. Pillow.
    Continuous Multinomial Logistic Regression for Neural Decoding.
    International Conference on Learning Representations (ICLR 2026), April 23-27, 2026, Rio de Janeiro, Brazil.
    Code

  2. S. Khosravi, A. Rupasinghe, and B. Babadi.
    Granger Causal Inference from Spiking Observations via Latent Variable Modeling.
    Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2022), Oct. 30-Nov. 2, 2022, Pacific Grove, CA.

  3. A. Rupasinghe, S. Mukherjee, and B. Babadi.
    Adaptive Frequency-domain Granger Causal Inference from Neuronal Ensemble Data.
    Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers (Asilomar 2020), Nov. 1-5, 2020, Pacific Grove, CA.

  4. A. Rupasinghe and B. Babadi.
    Robust Inference of Neuronal Correlations from Blurred and Noisy Spiking Observations.
    Proceedings of the 54th Annual Conference on Information Sciences and Systems (CISS 2020), March 18-20, 2020, Princeton, NJ.

  5. A. Rupasinghe and B. Babadi.
    Multitaper Analysis of Evolutionary Spectral Density Matrix From Multivariate Spiking Observations.
    Proceedings of the 2nd IEEE Data Science Workshop (DSW 2019), June 2-5, 2019, Minneapolis, MN.

  6. A. Rupasinghe, D. A. Padmasiri, S. G. M. P. Senanayake, G. M. R. I. Godaliyadda, M. P. B. Ekanayake, and J. V. Wijayakulasooriya.
    Dynamic clustering for event detection and anomaly identification in video surveillance.
    Proceedings of the 12th IEEE International Conference on Industrial and Information Systems (ICIIS 2017), Dec. 15-16, 2017, Peradeniya, Sri Lanka.

  7. T. S. J. Oorloff, A. M. R. Abeysekara, S. S. P. Vithana, A. Rupasinghe, H. M. V. R. Herath, G. M. R. I. Godaliyadda, and M. P. B. Ekanayake.
    Spectral-spatial hybrid mechanism for feature detection using spectral correlation.
    Proceedings of the 12th IEEE International Conference on Industrial and Information Systems (ICIIS 2017), Dec. 15-16, 2017, Peradeniya, Sri Lanka.

  8. S. S. P. Vithana, A. M. R. Abeysekara, T. S. J. Oorloff, A. Rupasinghe, H. M. V. R. Herath, G. M. R. I. Godaliyadda, and M. P. B. Ekanayake.
    Hyperspectral imaging based land cover mapping using data obtained by the Hyperion sensor.
    Proceedings of the 17th IEEE International Conference on Advances in ICT for Emerging Regions (ICTer 2017), Sept. 7-8, 2017, Colombo, Sri Lanka.

  9. A. Rupasinghe, S. G. M. P. Senanayake, D. A. Padmasiri, M. P. B. Ekanayake, G. M. R. I. Godaliyadda, and J. V. Wijayakulasooriya.
    Modes of clustering for motion pattern analysis in video surveillance.
    Proceedings of the 8th IEEE International Conference on Information and Automation for Sustainability (ICIAfS 2016), Dec. 16-19, 2016, Galle, Sri Lanka.

Preprints

  1. R. Zhang, Z. Wei, J. J. How, M. Nardin, S. Narayan, A. Kinkhabwala, W. Chen, J.-X. Lim, V. M. S. Ruetten, A. Rupasinghe, M. Haesemeyer, B. D. Mensh, M. C. Fishman, F. Engert, B. Babadi, J. Du, D. A. Prober, and M. B. Ahrens.
    A neuron-glia circuit anticipates hypoxia to regulate organismal oxygen use.
    bioRxiv, 2026.
    doi: 10.64898/2026.04.10.717666

Abstracts, posters, talks, and workshop presentations

  1. A. Rupasinghe and J. W. Pillow.
    Continuous Multinomial Logistic Regression for Neural Decoding.
    Computational and Systems Neuroscience (Cosyne 2026), March 12-15, 2026, Lisbon, Portugal.

  2. A. Rupasinghe, A. S. Charles, and J. W. Pillow.
    Continuous partitioning of neuronal variability.
    Computational and Systems Neuroscience (Cosyne 2026), March 12-15, 2026, Lisbon, Portugal.

  3. A. Rupasinghe, A. S. Charles, and J. W. Pillow.
    Continuous partitioning of neuronal variability.
    11th Statistical Analysis of Neural Data (SAND 2025) Workshop, June 11-13, 2025, New York, NY.

  4. A. Rupasinghe, A. S. Charles, and J. W. Pillow.
    Continuous partitioning of neuronal variability.
    Proceedings of the 52nd Annual Neuroscience Meeting (SfN 2024), Oct. 5-9, 2024, Chicago, IL.

  5. S. Khosravi, A. Rupasinghe, and B. Babadi.
    Inferring Directional Connectivity from Spiking Observations via Latent Variable Modeling.
    Proceedings of the 50th Annual Neuroscience Meeting (SfN 2022), Nov. 11-15, 2022, San Diego, CA.

  6. A. Rupasinghe, N. A. Francis, J. Liu, Z. Bowen, P. O. Kanold, and B. Babadi.
    Direct inference of signal and noise correlations from two-photon calcium imaging data without intermediate spike deconvolution.
    Proceedings of the 50th Annual Neuroscience Meeting (SfN 2021), Nov. 8-11, 2021, Chicago, IL.