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小林研究室
Showing the original Japanese · View translation
脳やSNSで情報が流れるしくみを、データと数理モデルで探る研究室。

AboutAbout the lab
データと数理モデルで、情報の流れを探る。
小林研究室は、
時間とともに
とくに、
Key terms
- 時系列
- 時間の
経過に そって、 順番に 記録された データ。 変化の しかたから、 しくみを 読み取る 手が かりに なる - 数理モデリング
- 現象の
しくみを 数式で 表し、 計算で 再現したり 予測したりできるように する 方法 - スパイク信号
- 神経細胞が
情報を 伝える ときに 出す、 短く 鋭い 電気の パルス
NewsLab news
テキストから
トピックを 取り出す手法 TopiCLEAR の 論文が 出版 相互作用の
タイプを 推定する 手法の 論文が Communications Physics に 出版 相互作用ネットワークを
推定する 手法の 論文が PLoS Complex Systems に 出版 スパイクデータから
シナプス結合を 推定する 手法の レビュー論文が 出版 論文が
Top 100 Engineering Scientific Reports papers of 2023 に 選出
ResearchResearch themes
実世界から
*Illustrative image脳の中の情報の流れを分析
たくさんの
*Illustrative imageSNSで情報が広がるしくみ
数理モデルで
*Illustrative imageインターネットデータから社会を知る
インターネット上の
MembersFaculty
小林研究室の
- Associate Professor小林 亮太Publications ↗
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Internet map 1024” The Opte Project / CC BY 2.5 (cropped)
- 脳の
中の 情報の 流れを 分析: “Pyramidal hippocampal neuron 40x” MethoxyRoxy / CC BY-SA 2.5 (cropped) - SNSで
情報が 広がる しく み: “Social Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped) - インターネットデータから
社会を 知る : “Network Visualization” Martin Grandjean / CC BY-SA 4.0 (cropped)
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