Sonja Blumenstock, David Arakelyan, Nicholas del Grosso, Sonja Schneider, Yufeng Shao, Enida Gjoni, Rüdiger Klein, Irina Dudanova & Takaki Komiyama (2026)
Restoring cortical disinhibition improves Huntington’s disease phenotypes (PDF)
Nature https://www.nature.com/articles/s41586-026-10671-9
Yu E. Zhang, Bethanny P. Danskin, Maxwell Zhou, Eeshi Uppalapati, Ashley Medina, Chung-Yueh Lin, Takaki Komiyama(2026)
Adaptive reorganization of history encoding in the retrosplenial cortex supports flexible decision-making strategies (PDF)
Neuron https://www.cell.com/neuron/fulltext/S0896-6273(26)00335-1
William J. Wright, Emma Chih-Ying Chen, Boyang Zhou, Jiarui Wang, Zheyuan Liu, Bobbie C. Morales, Takaki Komiyama (2026)
Local plasticity underlies the reorganization of cortical circuit dynamics during motor learning (PDF)
Current Biology https://www.sciencedirect.com/science/article/pii/S0960982226005877
Enida Gjoni, Ram Dyuthi Sristi, Haixin Liu, Shahar Dror, Xinlei Lin, Keelin O’Neil, Oscar M. Arroyo, Sun Woo Hong, Hannah Kim, Jeffrey Liu, Sonja Blumenstock, Byungkook Lim, Gal Mishne, Takaki Komiyama (2026)
“Complementary cortical and thalamic contributions to cell type–specific striatal activity dynamics during movement” (PDF)
“Cholinergic feedback for context-specific modulation of sensory representations” (PDF)
Assaf Ramot, Felix H. Taschbach, Yun C. Yang, Yuxin Hu, Qiyu Chen, Bobbie C. Morales, Xinyi C. Wang, An Wu, Kay M. Tye, Marcus K. Benna, and Takaki Komiyama (2025)
“Motor learning refines thalamic influence on motor cortex.” (PDF)
Nature https://www.nature.com/articles/s41586-025-08962-8
-
-
- Erica Klarreich (2025)
“How a Tiny Brain Region Helps You Learn Complex Movements, One Neuron at a Time” (PDF)
Simons Foundation https://www.simonsfoundation.org/2025/08/11/how-a-tiny-brain-region-helps-you-learn-complex-movements-one-neuron-at-a-time/
- Erica Klarreich (2025)
-
Wright, W.J.#, Hedrick, N.G., and Komiyama, T.# (2025)
“Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning.” (PDF)
Science https://www.science.org/doi/10.1126/science.ads4706
-
-
- Groisman, A.I. and Letzkus, J.J., (2025)
Perspective “Dendritic arbors structure memories.” (PDF)
Science https://www.science.org/doi/10.1126/science.adx064 - Wright, W.J. and Komiyama, T., (2025)
“How does your brain create new memories? Neuroscientists discover ‘rules’ for how neurons encode new information.” https://theconversation.com/how-does-your-brain-create-new-memories-neuroscientists-discover-rules-for-how-neurons-encode-new-information-254558
Lay summary on The Conversation - Walter Beckwith (2025)
“Surprise: Synapses on single neurons follow distinct rules during learning.” https://www.eurekalert.org/news-releases/1080397
Lay summary on EurekAlert! - Tom Hawking (2025)
“Scientists watch how mice learn, one synapse at a time.” https://www.popsci.com/science/how-mice-learn/
Lay summary on Popular Science
- Groisman, A.I. and Letzkus, J.J., (2025)
-
, , , , , , , ,
, , , , , ,
Hedrick, N.G., Wright, J. William., and Komiyama, T. (2024)
“Local and global predictors of synapse elimination during motor learning.” (PDF)
Science Advances https://www.science.org/doi/epdf/10.1126/sciadv.adk0540.
Dunton, K.L.*, Hedrick, N.G.*, Meamardoost, S., Ren, C., Howe, J.R., Wang, J., Root, C.M., Gunawan, R., Komiyama, T.#, Zhang, Y.#, Hwang, E.J.# (2024)
“Divergent learning-related transcriptional states of cortical glutamatergic neurons.” (PDF)
Journal of Neuroscience https://doi.org/10.1523/
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/
Danskin, B.P., Hattori, R., Zhang, Y.E., Babic, Z., Aoi, M. , and Komiyama, T. (2023)
“Exponential history integration with diverse temporal scales in retrosplenial cortex supports hyperbolic behavior.” (PDF)
Science Advances https://www.science.org/doi/10.1126/sciadv.adj4897
Hattori, R., Hedrick, N.G., Jain, A., Chen, S., You, H., Hattori, M., Choi, J.H., Lim, B.K., Yasuda, R., and Komiyama, T. (2023)
“Meta-reinforcement learning via orbitofrontal cortex.” (PDF)
Nature Neuroscience https://www.nature.com/articles/s41593-023-01485-3
Komiyama, T. (2023)
“Diversity of primate brain cells unraveled” (Introduction to the special issue) (PDF)
Science Advances https://www.science.org/doi/10.1126/sciadv.adl0650
Meamardoost, S., Bhattacharya, M., Hwang, E.J., Ren, C., Wang, L., Mewes, C., Zhang, Y., Komiyama, T., and Gunawan, R. (2023),
“Rewiring Dynamics of Functional Connectome in Motor Cortex during Motor Skill Learning.” (PDF)
Data Science in Science https://www.tandfonline.com/doi/full/10.1080/26941899.2023.2260431#abstract
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) https://ieeexplore.ieee.org/document/10123822
Sarangi, P., Hattori, R., Komiyama, T., and Pal, P. (2023)
“Super-resolution with Binary Priors: Theory and Algorithms.” (PDF)
IEEE Transactions on Signal Processing https://ieeexplore.ieee.org/document/10078298
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 https://www.frontiersin.org/journals/behavioral-neuroscience/articles/10.3389/fnbeh.2023.1111908/full
Sarangi, P., Hattori, R., Komiyama, T., and Pal, P. (2023)
“Super-resolution with Binary Priors: Theory and Algorithms.” (PDF)
IEEE Transactions on Signal Processing, Preprint at https://arxiv.org/pdf/2301.
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.”
Data Science in Science https://www.tandfonline.com/doi/full/10.1080/26941899.2023.2260431
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 https://iopscience.iop.org/article/10.1088/1741-2552/ac8fb5
Hedrick, N.G., Lu, Z., Bushong, E., Singhi, S., Nguyen, P., Magaña, Y., Jilani, S., Lim, B.K., Ellisman, M., and Komiyama, T. (2022)
“Learning binds new inputs into functional synaptic clusters via spinogenesis” (PDF)
Nature Neuroscience https://www.nature.com/articles/s41593-022-01086-6
Ren, C., Peng, K., Yang, R., Liu, W., Liu, C., and Komiyama, T. (2022)
“Global and subtype-specific modulation of cortical inhibitory neurons regulated by acetylcholine during motor learning” (PDF)
Neuron https://www.cell.com/neuron/fulltext/S0896-6273(24)00358-1
Hattori, R. and Komiyama, T. (2022)
“Longitudinal two-photon calcium imaging with ultra-large cranial window for head-fixed mice” (PDF)
STAR Protocols https://www.sciencedirect.com/science/article/pii/S2666166722002234
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 https://www.sciencedirect.com/science/article/pii/S2667237522000637
Hattori, R. and Komiyama, T. (2022)
“Context-dependent persistency as a coding mechanism for robust and widely distributed value coding.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627321008916?via%3Dihub
Ren, C. and Komiyama, T. (2021)
“Wide-field calcium imaging of cortex-wide activity in awake, head-fixed mice.” (PDF)
STAR Protocols https://www.sciencedirect.com/science/article/pii/S2666166721006791?via%3Dihub
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 https://www.mdpi.com/2076-3425/11/12/1556
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 https://iopscience.iop.org/article/10.1088/1741-2552/ac33e7
Hwang, E.J.*, Dahlen, J.E.*, Mukundan, M., and Komiyama, T. (2021)
“Disengagement of motor cortex during long-term learning tracks the performance level of learned movements.” (PDF)
Journal of Neuroscience https://www.jneurosci.org/content/41/33/7029
Ren, C. and Komiyama, T. (2021)
“Characterizing cortex-wide dynamics with wide-field calcium imaging.” (Review) (PDF)
Journal of Neuroscience https://www.jneurosci.org/content/41/19/4160
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 https://www.nature.com/articles/s41593-021-00841-5
Bathe, M.*, Hernandez, R.*, Komiyama, T.*, Machiraju, R.*, and Neogi S.* (*: co-first authors) (2021)
“Autonomous Computing Materials.” (Perspective) (PDF)
ACS Nano https://pubs.acs.org/doi/10.1021/acsnano.0c09556
Komiyama, T. (2020)
“Threat detection starts in the eyes.” (Preview) (PDF)
Part of ‘This week in Science’ in Science, 370:6519, pp. 926.
Wu, A.*, Yu, B.*, Chen, Q., Matthews, G.A., Lu, C., Campbell, E., Tye, K.M., and Komiyama, T. (2020)
“Context-dependent plasticity of adult-born neurons instructed by cortical feedback.” (PDF)
Science Advances https://www.science.org/doi/10.1126/sciadv.abc8319
Ma, Z., Liu, H., Komiyama, T., and Wessel, R. (2020)
“Stability of layer-specific motor cortex network states during learning-associated neural reorganizations.” (PDF)
Journal of Neurophysiology https://journals.physiology.org/doi/full/10.1152/jn.00061.2020
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 https://ieeexplore.ieee.org/document/9039710
Wu. A., Yu. B., and Komiyama, T. (2020)
“Plasticity in olfactory bulb circuits.” (Review) (PDF)
Current Opinion in Neurobiology https://www.sciencedirect.com/science/article/pii/S0959438820300088?via%3Dihub
Hwang, E.J., Link, T.D., Hu, Y.Y., Lu, S., Wang, E.H., Lilascharoen, V., Aronson, S., O’Neil, K., Lim, B.K., and Komiyama, T. (2019)
“Corticostriatal Flow of Action Selection Bias.” (PDF)
Neuron https://pubmed.ncbi.nlm.nih.gov/31706697/
Hwang, E.J., Dahlen, J.E., Hu, Y.Y., Aguilar, K., Yu, B., Mukundan, M., Mitani, A., and Komiyama, T. (2019)
“Disengagement of motor cortex from movement control during long-term learning.” (PDF)
Science Advances https://www.science.org/doi/10.1126/sciadv.aay0001
Hattori, R., Danskin, B., Babic, Z., Mlynaryk, N., and Komiyama, T. (2019)
“Area-Specificity and Plasticity of History-Dependent Value Coding During Learning.” (PDF)
Cell https://www.sciencedirect.com/science/article/pii/S0092867419304465?via%3Dihub
- Featured in NIH Director’s blog
Mitani, A. and Komiyama, T. (2018)
“Real-Time Processing of Two-Photon Calcium Imaging Data Including Lateral Motion Artifact Correction.” (PDF)
Frontiers in Neuroinformatics https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2018.00098/full
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 https://advanced.onlinelibrary.wiley.com/doi/10.1002/adfm.201800002
Li, W.L., Chu, M., Wu, A., Suzuki, Y., Imayoshi, I., and Komiyama, T. (2018)
“Adult-born neurons facilitate olfactory bulb pattern separation during task engagement.” (PDF)
eLife https://elifesciences.org/articles/33006
Mitani, A., Dong, M. and Komiyama, T. (2018)
“Brain-computer interface with inhibitory neurons reveals subtype-specific strategies.” (PDF)
Current Biology https://www.sciencedirect.com/science/article/pii/S0960982217315178?via%3Dihub
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) https://ieeexplore.ieee.org/document/8268461
Hwang, E.J.*, Dahlen, J.E.*, Mukundan, M. and Komiyama, T. (2017)
“History-based action selection bias in the posterior parietal cortex.” (PDF)
Nature Communications https://www.nature.com/articles/s41467-017-01356-z
Chu, M.W., Li, W.L. and Komiyama, T. (2017)
“Lack of pattern separation in sensory inputs to the olfactory bulb during perceptual learning.” (PDF)
eNeuro https://www.eneuro.org/content/4/5/ENEURO.0287-17.2017
Hattori, R.*, Kuchibhotla, K.*, Froemke, R.#, and Komiyama, T.#(2017)
“Functions and dysfunctions of neocortical inhibitory neuron subtypes.” (Review) (PDF)
Nature Neuroscience https://www.nature.com/articles/nn.4619
Peters, A.J., Lee, J., Hedrick, N.G., O’Neil, K., and Komiyama, T. (2017)
“Reorganization of corticospinal output during motor learning.” (PDF)
Nature Neuroscience https://www.nature.com/articles/nn.4596
Makino, H.*#, Ren, C.*, Liu, H.*, Kim, A.N., Kondapaneni, N., Liu, X., Kuzum, D. and Komiyama, T.#(2017)
“Transformation of cortex-wide emergent properties during motor learning.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627317303410?via%3Dihub
- Preview by Banerjee and Long, Neuron https://www.sciencedirect.com/science/article/pii/S0896627317304038?via%3Dihub
Peters, A.J., Liu, H. and Komiyama, T. (2017)
“Learning in the rodent motor cortex.” (Review) (PDF)
Annual Review of Neuroscience https://www.annualreviews.org/content/journals/10.1146/annurev-neuro-072116-031407
McIntyre, J.C., Thiebaud, N., McGann, J.P., Komiyama, T. and Rothermel, M. (2017)
“Neuromodulation in chemosensory systems.” (Review) (PDF)
Chemical Senses https://academic.oup.com/chemse/article/42/5/375/3100451
Makino, H., Hwang, E.J., Hedrick, N. and Komiyama, T. (2016)
“Circuit mechanisms of sensorimotor learning.” (Review) (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627316307796?via%3Dihub
Chu, M.W., Li, W.L. and Komiyama, T. (2016)
“Balancing the robustness and efficiency of odor representations during learning.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627316305633?via%3Dihub
Makino, H. and Komiyama, T. (2015)
“Learning Enhances the Relative Impact of Top-down Processing in Visual Cortex.” (PDF)
Nature Neuroscience https://www.nature.com/articles/nn.4061
Chen, S.X., Kim, A.N., Peters, A.J. and Komiyama, T. (2015)
“Subtype-specific Plasticity of Inhibitory Circuits During Motor Learning.” (PDF)
Nature Neuroscience https://www.nature.com/articles/nn.4049
- News and Views by Grillo, F.W., West, L. and De Paola, V., Nature Neuroscience https://www.nature.com/articles/nn.4073
Boyd, A.M., Kato, H.K., Komiyama, T., Isaacson, J.S. (2015)
“Broadcasting of Cortical Activity to the Olfactory Bulb.” (PDF)
Cell Reports https://www.sciencedirect.com/science/article/pii/S2211124715000728?via%3Dihub
- Rated by Faculty of 1000.
Peters, A.J., Chen, S.X. and Komiyama, T. (2014)
“Emergence of Reproducible Spatiotemporal Activity During Motor Learning.” (PDF)
Nature https://www.nature.com/articles/nature13235
- Rated by Faculty of 1000.
Guo ZV, Hires SA, Li N, O’Connor DH, Komiyama T, Ophir E, Huber D, Bonardi C, Morandell K, Gutnisky D, Peron S, Xu NL, Cox J, Svoboda K. (2014)
“Procedures for behavioral experiments in head-fixed mice.” (PDF)
Plos ONE https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0088678
Kato, H.K., Gillet, S.N, Peters, A.J., Isaacson, J.S. and Komiyama, T. (2013)
“Parvalbumin-Expressing Interneurons Linearly Control Olfactory Bulb Output.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627313007952?via%3Dihub
- Preview by Uchida, N., Eshel, N. and Watabe-Uchida, M., Neuron https://www.annualreviews.org/content/journals/10.1146/annurev-neuro-072116-031109
- ‘Research Highlight’ by Yates, D., Nature Reviews Neuroscience 15, 4-5.
- Rated by Faculty of 1000.
Kato, H.K.*, Chu, M.W.*, Isaacson, J.S. and Komiyama, T. (2012)
“Dynamic Sensory Representations in the Olfactory Bulb: Modulation by Wakefulness and Experience.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627312008963?via%3Dihub
- Rated by Faculty of 1000.
Sweeney LB, Chou YH, Wu Z, Joo W, Komiyama T, Potter CJ, Kolodkin AL, Garcia KC, Luo L. (2011)
“Secreted semaphorins from degenerating larval ORN axons direct adult projection neuron dendrite targeting.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627311008774?via%3Dihub
Komiyama, T.*, Sato, T.R., O’Connor, D.H., Zhang, Y.X., Huber, D., Hooks, B.M., Gabbito, M. and Svoboda, K. (2010)
“Learning-related fine-scale specificity imaged in motor cortex circuits of behaving mice.” (PDF)
Nature https://www.nature.com/articles/nature08897
- Rated by Faculty of 1000.
O’Connor, D.H., Clack, N.G., Huber, D., Komiyama, T., Myers, E.W. and Svoboda, K. (2010)
“Vibrissa-based object localization in head-fixed mice.” (PDF)
J. Neuroscience https://www.jneurosci.org/content/30/5/1947
Before 2010 (Selected)
Komiyama, T. and Luo, L. (2007)
“Intrinsic control of precise dendritic targeting by an ensemble of transcription factors.” (PDF)
Current Biology https://www.sciencedirect.com/science/article/pii/S0960982206025887?via%3Dihub
Komiyama, T., Sweeney, L.B., Schuldiner, O., Garcia, K.C. and Luo, L. (2007)
“Graded expression of Semaphorin-1a cell-autonomously directs dendritic targeting of olfactory projection neurons.” (PDF)
Cell https://www.sciencedirect.com/science/article/pii/S0092867407000426?via%3Dihub
Sweeney, L.B.*, Couto, A., Chou, Y-H., Berdnik, D., Dickson, B.J., Luo, L. and Komiyama, T.* (2007)
“Temporal target restriction of olfactory receptor neurons through Semaphorin-1a/PlexinA mediated axon-axon interactions.” (PDF)
Neuron https://www.sciencedirect.com/science/article/pii/S0896627306009421?via%3Dihub (*: equal contribution)
Komiyama, T. and Liqun Luo (2006)
“Development of wiring specificity of the olfactory system.” (PDF)
Current Opinion in Neurobiology https://www.sciencedirect.com/science/article/pii/S0959438805001844?via%3Dihub
Komiyama, T., Carlson, J.R. and Luo, L. (2004)
“Olfactory receptor neuron axon targeting: Intrinsic transcriptional control and hierarchical interactions.” (PDF)
Nature Neuroscience https://www.nature.com/articles/nn1284
Komiyama, T.*, Johnson, W.A., Luo, L. and Jefferis, G.S.X.E.* (2003)
“From lineage to wiring specificity: POU domain transcription factors control precise connections of Drosophila olfactory projection neurons.” (PDF)
Cell https://www.sciencedirect.com/science/article/pii/S0092867403000308 (*: equal contribution)