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Learning and Long-term Memory

開催日 2014/9/13
時間 14:00 - 15:00
会場 Poster / Exhibition(Event Hall B)

Decoding from ECoG signals reveals the contents of color imagery in macaque inferior temporal and prefrontal cortices

  • P3-224
  • 武井 廉 / Ren Takei:1 谷川 久 / Hisashi Tanigawa:2 間島 慶 / Kei Majima:3,4 川嵜 圭祐 / Keisuke Kawasaki:5 澤畑 博人 / Hirohito Sawahata:6 中原 潔 / Kiyoshi Nakahara:7 飯島 淳彦 / Atsuhiko Iijima:1 鈴木 隆文 / Takafumi Suzuki:8 神谷 之康 / Yukiyasu Kamitani:3,4 長谷川 功 / Isao Hasegawa:2,5 
  • 1:新潟大院・自然研究科学科 / Grad Sch of Sci & Tech, Niigata Univ, Niigata, Japan 2:新潟大・超域学術院 / Cent for Transdiscipl Res, Niigata Univ, Niigata, Japan 3:ATR・脳情報研 / ATR, Kyoto, Japan 4:奈良先端大 / Grad Sch of Info Sci, NAIST, Nara, Japan 5:新潟大院・医・神経生理学 / Niigata Univ Grad Sch of Med & Dent Sci, Niigata, Japan 6:豊橋技科大 / Toyohashi Univ of Tech, Aichi, Japan 7:高知工大・総研 / Kochi Univ of Tech, Kochi, Japan 8:NICT・脳情報通信融合研 / Natl Inst of Info & Comm Tech, Osaka, Japan 

Color imagery refers to the experience of color based on memories without its perception. Compared to color perception, it is not well known how color imagery is represented in the brain. Last year, we reported that we were able to decode recalled color imagery using signals obtained from multichannel subdural electrocorticography (ECoG) using pattern classification methods. To distinguish between decoding reflecting cue information that was used for color recall and decoding reflecting recalled color imagery, we trained a monkey to perform color recall tasks using two different cues for each color. In the task, a cue stimulus, either an achromatic scene image or a Fourier descriptor, was presented, and after a delay period, 1–2 colored shapes were presented sequentially as choice stimuli. To receive a reward, the monkey released a lever upon presentation of a correctly colored choice that was associated with the cue. The monkey was supposed to recall and maintain color imagery during the delay period. Using a power spectrum of ECoG signals during that period, we constructed support vector machine classifiers (decoders) to predict the monkey's color choice. To examine the generalization performance of the decoders across the tasks using different cues, we trained the decoders on the data set from the task using one type of cues (scene images) and tested them on the data set from the task using another type of cues (Fourier descriptors), and vice versa. Our results demonstrate that the decoders successfully predict the monkey's color choice regardless of the cue types, providing support that recalled color imagery can be decoded by our methods. We are now examining which brain areas and frequency bands are responsible for decoding color imagery.

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