用神经信号跟踪到达运动的目标导向状态方程

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. Pub Date : 2005-03-16 DOI:10.1109/CNE.2005.1419630

L. Srinivasan, U. Eden, A. Willsky, E. Brown

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引用次数: 13

摘要

本文研究了到达运动的估计问题。我们推导了一个贝叶斯最优离散时间状态方程，以支持包含目标位置和手臂轨迹观测的实时滤波器。所得到的算法兼容任何滤波方法，如点处理或卡尔曼滤波，以及任何记录方式，如多电极阵列，皮质内脑电图，或眼动仪

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Goal-directed state equation for tracking reaching movements using neural signals

This paper addresses the problem of estimating reaching movements. We derive a Bayesian-optimal discrete-time state equation to support real-time filters that incorporate observations about the target position and arm trajectory. The resulting algorithm is compatible with any filtering method, such as point process or Kalman filters, and any recording modality, such as multielectrode arrays, intracortical EEG, or eye trackers

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Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.

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