皮質の神経ネットワークにおける同期スパイキングの安定した伝播
M Diesmann1, M O Gewaltig, A Aertsen
1Department of Neurobiology and Biophysics, Institute of Biology III, Albert-Ludwigs-University, Frieburg, Germany.
Nature
|December 11, 1999
まとめ
ニューラルネットワークは,正確なスパイクタイミングを使用して情報を伝送することができ,従来のレートコーディングの見方に異議を唱えます. この研究は,皮質ネットワークモデルで同期されたアクションポテンシャルを実証し,ミリ秒レベルのニューラル通信を可能にします.
科学分野:
- 神経科学は神経科学である.
- 計算神経科学とは
- システム神経科学 システム神経科学
背景:
- 古典的な見解では,ニューラル情報がニューロンの発火率によって暗号化されていると仮定します.
- 神経コードの正確なスパイクタイミングは,想定された神経ノイズと限られた忠実性のために疑問視されています.
- シナプスの入力波動は,ミリ秒レベルの信号伝送を妨げると考えられています.
研究 の 目的:
- リアルなネットワークモデル内のニューラルコーディングにおける正確なスパイクタイミングの実現可能性を調査する.
- 同期したアクションポテンシャルが,皮質の活動を模倣するシステムで伝播できるかどうかを判断する.
- シングル・スパイク・コーディネーションに基づく組み合わせ神経コードの可能性を調査する.
主な方法:
- 皮質ネットワーク活動の計算モデルの開発.
- スパイクタイミングの精度を評価するために神経動態のシミュレーション.
- アトラクターダイナミクスによるネットワーク同期の分析.
主要な成果:
- 精密に同期されたアクションポテンシャルがモデルネットワーク内で拡散することが示されました.
- このモデルは,生物学的神経システムの重要な特徴をまとめました.
- アトラクターダイナミクスは,サブミリ秒のピッキング精度のメカニズムとして特定されました.
結論:
- 精密なスパイクタイミングは,皮質のようなネットワークにおけるニューラル・コーディングの実行可能なメカニズムです.
- アトラクターによって制御されるネットワークの同期は,ミリ秒フィデリティをサポートします.
- シングル・スパイク・コーディネーションを利用した組み合わせ神経コードは理論的には可能である.
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