Chen, Y., Xin, Q., Ventura, V., and Kass, R.E. (2019) Stability of point process spiking neuron models , Journal of Computational Neuroscience, 46: 19-32.
Kass, R.E., Amari, S.-I., Arai, K., Brown, E.N., Diekman, C.O., Diesmann, M., Doiron, B., Eden, U.T., Fairhall, A.L., Fiddyment, G.M., Fukai, T., Grün, S., Harrison, M.T., Helias, M., Nakahara, H., Teramae, J.-N., Thomas, P.J., Reimers, M., Rodu, J., Rotstein, H.G., Shea-Brown, E., Shimazaki, H., Shinomoto, S., Yu, B.M., and Kramer, M.A. (2018) Computational neuroscience: Mathematical and statistical perspecitives , Annual Review of Statistics and its Application, 5: 183-214.
Pre-publication draft available here.Rodu, J., Klein, N., Brincat, S.L., Miller, E.K., and Kass, R.E. (2018) Detecting multivariate cross-correlation between brain regions , Journal of Neurophysiology, 120: 1962-1972.
Zhou, P., Resendez, S.L., Rodriguez-Romaguera, J., Stuber, G.D., Jimenez, J.C., Hen, R., Keirbek, M.A., Neufeld, S.Q., Sabatini, B.L., Kass, R.E., and Paninski, L. (2018) Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data, eLife, 7: e28728 DOI: 10.7554/elife.28728.
Arai, K. and Kass, R.E. (2017) Inferring oscillatory modulation in neural spike trains , PLoS Computational Biology, 13: e1005596.
Kass, R.E., Caffo, B., Davidian, M., Meng, X.-L., Yu, B., and Reid, N. (2016) Ten simple rules for effective statistical practice, PLoS Computational Biology, 12:e1004961.
Chase, S.M., Schwartz, A.B. and Kass, R.E. Latent inputs improve estimates of neural encoding in motor cortex, Journal of Neuroscience, 30: 13873-13882, 2010.
Kelly, R.C., Smith, M.A., Kass, R.E. and Lee, T.-S. Local field potentials indicate network state and account forneuronal response variability, Journal of Computational Neuroscience, 29: 567Ñ579, 2010.
Tokdar, S., Xi, P., Kelly, R.C., and Kass, R.E. Detection of bursts in extracellular spike trains using hidden semi-Markov point process models, Journal of Computational Neuroscience, 29: 203-212, 2009.
Behseta, S., Berdyyeva, T., Olson, C.R., and Kass, R.E. Bayesian correction for attenuation of correlation in multi-trial spike count data, Journal of Neurophysiology, 101: 2186-2193, 2009.
Kass, R.E., Ventura, V. and Brown, E.N. Statistical issues in the analysis of neuronal data, Journal of Neurophysiology, 94: 8-25, 2005.
Brown, E.N., Kass, R.E. and Mitra, P.P. Multiple neural spike trains analysis: state-of-the-art and future challenges, Nature Neuroscience, 7: 456-461, 2004.