| イベント名 |
第５回物理学教室談話会 The art of simplification: Modeling neurons with as few as zero free parameters |
|---|---|
| イベント種類 | セミナー |
| 講演者(講師) | Willy Wong 教授 (九州大学 大学院システム情報科学研究院) |
| イベント詳細 | 要旨： Physics has traditionally focused on systems involving low-dimensional models. Recent work in AI has concerned itself with much more difficult and complex systems like natural language processing, self-driving cars, etc. However, the complexity of the models is enormous. This talk concerns the modelling of neural systems. While single neurons may not be as complex as language, there are still far more complex than most systems studied in physics. A key result I will present is that single neurons can be modeled and tested with as few as zero free parameters, offering hope that complex neural systems can be explored in a manner similar to how physics captures the essential properties of a system with simplified dynamics. |
| 対象 | 教職員向け 在学生向け |
| 使用言語 | 日本語 |
| キーワード | |
| 開催期間 | 2024年10月18日 16:30 〜 18:00 |
| 会場 |
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| 定員 | なし |
| 申込み方法 | 事前申込み不要 |
| お問い合わせ先 |
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