神経回路モデルとシミュレーション
Odor Discrimination Network Model

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ネットワークモデル

積分発火モデル ミツバチにおいては,カルシウムイメージング実験により,触角葉への入力パターンおよび出力パターンが明らかにされている.Galiziaらは,積分発火モデルを用いた計算機実験により,局所介在神経による糸球体同士の接続パターンを検証した.その結果,ランダムな接続・距離に依存した接続に対し,入力情報がよく似た糸球体同士を選択的に局所介在神経で接続した場合に,出力パターンをよく再現できることを示した[Linster et al., 2005].のちに,距離に依存しない相互作用は,様々な昆虫で発見された[Reisenman et al., 2008; Olsen et al., 2007; Namiki & Kanzaki, 2008].
Hodgkin-Huxleyタイプモデル バッタの嗅覚系では,イオン電流を考慮したタイプのネットワークモデルが作られている[Bazhenov et al., 2001a, b].各ニューロンは,単一コンパートメントで構成され,スパイクタイミング依存型の可塑性を考慮し,同期的振動現象や,匂いの短期記憶の再現をしている[Bazhenov et al., 2005].

神経形態を考慮に入れたモデル

局所介在神経の相互作用に関しては,以前から細胞内計測を行って,複数の異なる振幅のスパイクが観察されていたことから[Matsumoto & Hildebrand, 1981; Christensen et al., 1993],複数の活動電位の発生部位があり,また局所的な情報処理を行うのではないかと考えられていた.この可能性を検証するための,マルチコンパートメントモデルによるシミュレーションが行われている[Christensen et al., 2001].カイコガでも同様の計算機実験により,例えば,局所的なシナプス入力に対しては局所的な作用,複数部位への同時シナプス入力に対しては,全体に拡散する作用を示す現象が観察されている.モデルの精緻化のため,イメージング等による単一細胞活動の多点同時計測等の実験データの取得が待たれる.
[状況によって,昆虫に限らず工学分野で提案されている識別システムについて,短く追加するかもしれません.]
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