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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/16072

タイトル: Neural Evidence of the Cerebellum as a State Predictor
著者: Tanaka, Hirokazu
Ishikawa, Takahiro
Kakei, Shinji
キーワード: Cerebellum
Internal forward model
Kalman filter
発行日: 2019-01-09
出版者: Springer
誌名: The Cerebellum
巻: 18
号: 3
開始ページ: 349
終了ページ: 371
DOI: 10.1007/s12311-018-0996-4
抄録: We here provide neural evidence that the cerebellar circuit can predict future inputs from present outputs, a hallmark of an internal forward model. Recent computational studies hypothesize that the cerebellum performs state prediction known as a forward model. To test the forward-model hypothesis, we analyzed activities of 94 mossy fibers (inputs to the cerebellar cortex), 83 Purkinje cells (output from the cerebellar cortex to dentate nucleus), and 73 dentate nucleus cells (cerebellar output) in the cerebro-cerebellum, all recorded from a monkey performing step-tracking movements of the right wrist. We found that the firing rates of one population could be reconstructed as a weighted linear sum of those of preceding populations. We then went on to investigate if the current outputs of the cerebellum (dentate cells) could predict the future inputs of the cerebellum (mossy fibers). The firing rates of mossy fibers at time t + t_1 could be well reconstructed from as a weighted sum of firing rates of dentate cells at time t, thereby proving that the dentate activities contained predictive information about the future inputs. The average goodness-of-fit (R^2) decreased moderately from 0.89 to 0.86 when t_1 was increased from 20 to 100 ms, hence indicating that the prediction is able to compensate the latency of sensory feedback. The linear equations derived from the firing rates resembled those of a predictor known as Kalman filter composed of prediction and filtering steps. In summary, our analysis of cerebellar activities supports the forward-model hypothesis of the cerebellum.
Rights: © The Author(s) 2019. Hirokazu Tanaka, Takahiro Ishikawa, Shinji Kakei, The Cerebellum, 18(3), 2019, 349-371. DOI:10.1007/s12311-018-0996-4. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
URI: http://hdl.handle.net/10119/16072
資料タイプ: publisher
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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