Takaki Komiyama 

Takaki Komiyama 

Associate Professor


Contact Information

Center for Neural Circuits and Behavior
Rm 304

Email: tkomiyama@ucsd.edu
Phone: 858-534-4654

Mailing Address:
9500 Gilman Dr #0634
La Jolla CA 92093-0634

Animals constantly modify their behavior through experience. Flexible behavior is key to our ability to adapt to the ever-changing environment. My laboratory is interested in studying the activity of neuronal ensembles in behaving animals, and how it changes with learning.

We have recently set up a paradigm where mice learn to associate sensory information (two different odors) to motor outputs (lick vs no-lick) under head-fixation. We combined this with two-photon calcium imaging, which can monitor the activity of a microcircuit of many tens of neurons simultaneously from a small area of the brain. Imaging the motor cortex during the learning of this task revealed neurons with diverse task-related response types.

Intriguingly, different response types were spatially intermingled; even immediately adjacent neurons often had very different response types. As the mouse learned the task under the microscope, the activity coupling of neurons with similar response types specifically increased, even though they are intermingled with neurons with dissimilar response types. This suggests that intermingled subnetworks of functionally-related neurons form in a learning-related way, an observation that became possible with our cutting-edge technique combining imaging and behavior.

We are working to extend this study. How plastic are neuronal microcircuits during other forms of learning? How plastic are they in other parts of the brain? What are the cellular and molecular mechanisms of the microcircuit plasticity? Are the observed activity and plasticity required for learning? How does the activity of identified individual neurons change over days to weeks?

We are asking these questions, combining a variety of techniques including in vivo two-photon imaging, optogenetics, electrophysiology, genetics and behavior.

Lab website

  1. Peters, A.J., Lee, J., Hedrick, N.G., O'Neil, K., and Komiyama, T. (2017) Reorganization of corticospinal output during motor learning. Nature Neuroscience, doi:10.1038/nn.4596, advance online publication.
  2. 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. Neuron, 94(4), 880-90. (Preview by Banerjee and Long, Neuron, 94(4), 698-700)
  3. Peters, A.J., Liu, H. and Komiyama, T. (2017) Learning in the rodent motor cortex. (Review) Annual Review of Neuroscience, doi: 10.1146/annurev-neuro-072116-031407. [Epub ahead of print].
  4. McIntyre, J.C., Thiebaud, N., McGann, J.P., Komiyama, T. and Rothermel, M. (2017) Neuromodulation in chemosensory systems. (Review) Chemical Senses, 42(5), 375-9.
  5. Makino, H.*, Hwang, E.J.*, Hedrick, N.G.* and Komiyama, T. (2016) “Circuit mechanisms of sensorimotor learning.” (Review) Neuron, 92(4), 705-21.
  6. Chu, M.W., Li, W.L. and Komiyama, T. (2016) “Balancing the robustness and efficiency of odor representations during learning.” Neuron, 92(1), 174-86.
  7. Makino, H. and Komiyama, T. (2015) “Learning enhances the relative impact of top-down processing in the visual cortex.” Nature Neuroscience, 18(8), 1116-22.
  8. Chen, S.X., Kim, A.N., Peters, A.J. and Komiyama, T. (2015) “Subtype-specific plasticity of inhibitory circuits during motor learning.” Nature Neuroscience, 18(8), 1109-15.
  9. Boyd, A., Kato, H.K., Komiyama, T. and Isaacson, J.S. (2015) "Broadcasting of cortical activity to the olfactory bulb." Cell Reports, 10(7), 1032-9.
  10. Peters, A.J., Chen, S.X. and Komiyama, T. (2014) “Emergence of reproducible spatiotemporal activity during motor learning.” Nature, 510(7504), 263-7.
  11. Guo, Z., Hires, S.A., Li, N., O’Connor, D., Komiyama, T., Ophir, E., Huber, D., Bonardi, C., Morandell, K., Gutnisky, D., Peron, S., Xu, N., Cox, J. and Svoboda, K. (2014) “Procedures for behavioral experiments in head-fixed mice.“ Plos ONE, 9(2)
  12. Kato, H.K., Gillet, S.N., Peters, A.J., Isaacson, J.S.# and Komiyama, T. # (2013) Parvalbumin-expressing Interneurons Underlie a Local Inhibitory Circuit Regulating the Gain of Olfactory Bulb Output. Neuron, 80, 1218-31.
  13. 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. Neuron, 76(5), 962-75.
  14. 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. Nature, 464(7292), 1182-6. (*: correspondence)
  15. 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. J. Neuroscience, 30, 1947-67.