Ramezani, M., Kim, JH., Liu, X, Ren, C, Alothman, A., De-Eknamkul, C., Wilson, M.N., Cubukcu, E., Gilja, V., Komiyama, T., and Kuzum, D. (2024)
“High-density transparent graphene arrays for predicting cellular calcium activity at depth from surface potential recordings.” (PDF)
Nature Nanotechnology, https://doi.org/10.1038/
Ramezani, M., Liu, X., Ren, C., Komiyama, T., Kuzum, D. (2023)
“Processing multimodal neural data and decoding neural dynamics using cross-modality inference.” (PDF)
11th International IEEE/EMBS Conference on Neural Engineering (NER), pp. 1-4, doi: 10.1109/NER52421.2023.
Sarangi, P., Hattori, R., Komiyama, T., and Pal, P. (2023)
“Super-resolution with Binary Priors: Theory and Algorithms.” (PDF)
IEEE Transactions on Signal Processing, 71, 3213-28. DOI: 10.1109/TSP.2023.3260564
Preprint at https://arxiv.org/pdf/2301.
Chen, Z., Zhang, R., Fang, H.S., Zhang, Y. E., Bal, A., Zhou, H., Rock, R.R., Padilla-Coreano, N., Keyes, L., Zhu, H., Li, Y.L., Komiyama, T., Tye, K.M., and Lu, C. (2023)
“AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool.” (PDF)
Frontiers in Behavioral Neuroscience, Volume 17 – 2023
Sarangi, P., Hattori, R., Komiyama, T., and Pal, P. (2023)
“Super-resolution with Binary Priors: Theory and Algorithms.” (PDF)
IEEE Transactions on Signal Processing, accepted.
Chen, Z., Zhang, R., Fang, H.S., Zhang, Y.E., Bal, A., Zhou, H., Rock, R.R., Padilla-Coreano, N., Keyes, L., Zhu, H., Li, Y.L., Komiyama,T., Tye, K.M., and Lu, C. (2023)
“AlphaTracker: A Multi-Animal Tracking and Behavioral Analysis Tool.” (PDF)
Frontiers in Behavioral Neuroscience, accepted.
Meamardoost, S., Bhattacharya, M., Hwang, E.J., Ren, C., Wang, L., Mewes, C., Zhang, Y., Komiyama, T., and Gunawan, R. (2022)
“Rewiring Dynamics of Functional Connectome in Motor Cortex during Motor Skill Learning.”
Preprint at https://www.biorxiv.org/
Liu, F., Meamardoost, S., Gunawan, R., Komiyama, T., Mewes, C., Zhang, Y., Hwang, E.J.*, Wang, L.* (2022)
“Deep Learning for Neural Decoding in Motor Cortex.” (PDF)
Journal of Neural Engineering, 19(5), 056021.
Hattori, R. and Komiyama, T. (2022)
“Longitudinal two-photon calcium imaging with ultra-large cranial window for head-fixed mice” (PDF)
STAR Protocols, 3 (2), 101341.
Hattori, R. and Komiyama, T. (2022)
“PatchWarp: Corrections of non-uniform image distortions in two-photon calcium imaging data by patchwork affine transformations.” (PDF)
Cell Reports Methods, 100205.
Hattori, R. and Komiyama, T. (2022)
“Context-dependent persistency as a coding mechanism for robust and widely distributed value coding.” (PDF)
Neuron, S0896-6273 (21), 00891-6.
Ren, C. and Komiyama, T. (2021)
“Wide-field calcium imaging of cortex-wide activity in awake, head-fixed mice.” (PDF)
STAR Protocols, 2 (4), 100973.
Meamardoost, S., Bhattacharya, M., Hwang, E.J., Komiyama, T., Mewes, C., Wang, L., Zhang, Y., Gunawan, R. (2021)
“FARCI: Fast and Robust Connectome Inference.” (PDF)
Brain Sciences, 11(12), 1556.
Liu, X.*, Ren, C.*, Huang, Z., Wilson, M., Kim, J-H., Lu, Y., Ramezani, M., Komiyama, T., and Kuzum, D. (2021)
“Decoding of cortex-wide brain activity from local recordings of neural potentials.” (PDF)
Journal of Neural Engineering,18(6), 066009.
Ren, C. and Komiyama, T. (2021)
“Characterizing cortex-wide dynamics with wide-field calcium imaging.” (Review) (PDF)
Journal of Neuroscience, 41(19), 4160-4168
Liu, X.*, Ren, C.*, Lu, Y.*, Liu, Y., Kim, J., Leutgeb, S., Komiyama, T.#, and Kuzum, D.# (#: co-correspondence) (2021)
“Multimodal neural recordings with Neuro-FITM uncover diverse patterns of cortical–hippocampal interactions.” (PDF)
Nature Neuroscience (cover article) 24, 886-896
Ding, D., Lu, Y., Zhao, R., Liu, X., De-Eknamkul, C., Ren, C., Mehrsa, A., Komiyama, T., and Kuzum, D. (2020)
“Evaluation of Durability of Transparent Graphene Electrodes Fabricated on Different Flexible Substrates for Chronic in vivo Experiments.” (PDF)
IEEE Transactions on Biomedical Engineering, DOI:10.1109/TBME.2020.2979475.6(42), eabc8319
Mitani, A. and Komiyama, T. (2018)
“Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact Correction.” (PDF)
Frontiers in Neuroinformatics, DOI:10.3389/fninf.2018.00098
Lu, Y., Liu, X., Hattori, R., Ren, C., Komiyama, T., and Kuzum, D. (2018)
“Ultra-low Impedance Graphene Microelectrodes with High Optical Transparency for Simultaneous Deep 2-photon Imaging in Transgenic Mice.” (PDF)
Advanced Functional Materials, DOI:10.1002/adfm.201800002.
X. Liu, Y. Lu, E. Iseri, C. Ren, H. Liu, T. Komiyama and D. Kuzum (2017).
“Transparent artifact-free graphene electrodes for compact closed-loop optogenetics systems.” (PDF)
Electron Devices Meeting (IEDM), 2017 IEEE International, 26.1.1-26.1.4.