Analysis of neural computation during sequence recognition and prediction in primary visual and auditory cortices.

• Project/Area Number: 15K16574
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Brain biometrics
• Research Institution: The University of Tokyo (2016); National Institute for Basic Biology (2015)
• Principal Investigator: Ebina Teppei 東京大学, 大学院医学系研究科(医学部), 助教 (30611206)
• Project Period (FY): 2015-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000); Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000); Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
• Keywords: 2光子イメージング / 興奮性ニューロン / 抑制性ニューロン / 想起 / 神経生理学 / 覚醒下2光子イメージング

Outline of Final Research Achievements

Sensory perception often requires recognition and prediction of temporal sequences of sensory inputs. Neural networks processing the perception involves several subtypes of neurons, but little is known on how each subtype encodes the sequences. To answer this, we are developing methods to monitor neural responses in the cerebral cortex of awake mouse and to classify the neurons into either excitatory or inhibitory subtype. By expressing a calcium indicator, GCaMP6f, into several cortical sites, we could monitor the activity of neurons during performance of a behavior task by two-photon calcium imaging. In addition, we found that immunohistochemistry combined with recently reported CUBIC technique could localize the position of a subtype of neurons in a fixed brain area involving the imaging regions. We started to record the neural responses in the visual or auditory cortex during spatiotemporal sequence recognition and prediction, and to identify the subtypes of the neurons.

Research Products

• [Presentation] Visual-cued fear conditioning of mice and the change in the neuronal firing property in the visual cortex (2015)
  • Author(s): Yamada, MK., Ebina, T. and Wada, Y.
  • Organizer: Neuroscience 2015
  • Place of Presentation: Chicago, USA
  • Year and Date: 2015-10-17
  • Int'l Joint Research
• [Presentation] Accelerated H-DROP: An SVM based Helical Domain linker pRedictor trained with Optimized features. (2015)
  • Author(s): Tambi, R., Ide, S., Suzuki, R., Ebina, T. and Kuroda, Y
  • Organizer: The 53rd Annual Meeting of the Biophysical Society of Japan,
  • Place of Presentation: Natural Science and Technology Main Hall, Kanazawa University Kakuma Campus, Kanazawa, Ishikawa
  • Year and Date: 2015-09-13