Estimations of neural networks by fluctuations of neuron spikes

通过神经元尖峰的波动来估计神经网络

• 批准号: 18079003
• 负责人: OKADA Masato
• 金额: $ 41.54万
• 依托单位: The University of Tokyo
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research on Priority Areas
• 财政年份: 2006
• 资助国家: 日本
• 起止时间: 2006 至 2009
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-18079003/
• 关键词: 多体問題; 統計力学; 神経科学; BMI; データマイニング; 計力学

It has become possible to make simultaneous measurements of neural activity (spikes) in large numbers of neurons with large arrays of electrodes. Significant advantage of the statistical mechanical informatics (SMI) is to extract a macroscopic description of the system with a small number of parameters by performing reduction of many microscopic degrees of freedom. Hierarchy, reduction, and macroscopic description should also be essential in order to understand the brain. From this point of view, we proposed new SMI frameworks for neural network models, and methods for analyzing neuronal spike data based on the information theory and the Bayesian inference.

使用大量电极同时测量大量神经元的神经活动（尖峰）已经成为可能。统计机械信息学（SMI）的显着优点是通过对许多微观自由度进行约简，用少量参数提取系统的宏观描述。为了理解大脑，层次结构、简化和宏观描述也应该是必不可少的。从这个角度来看，我们提出了新的神经网络模型SMI框架，以及基于信息论和贝叶斯推理的神经元尖峰数据分析方法。

项目成果

Applying manifold learning to plotting approximate contour trees

应用流形学习绘制近似轮廓树

• 发表时间: 2009
• 期刊: IEEE Transactions on Visualization and Computer Graphics
• 影响因子: 5.2
• 作者: S.Takahashi;I.Fujishiro;M.Okada
• 通讯作者: M.Okada

Simultaneous Clustering and Dimensionality Reduction Using Variational Bayesian Mixture Model

使用变分贝叶斯混合模型同时聚类和降维

• 发表时间: 2009
• 作者: M. Hayashi;K. Matsumoto;Kazuho Watanabe
• 通讯作者: Kazuho Watanabe

Unbiased Estimator of Shape Parameter for Spiking Irregularities under Changing Environments

变化环境下尖峰不规则形状参数的无偏估计

• 发表时间: 2006
• 期刊: Advances in Neural Information Processing Systems 18
• 作者: K.Miura;M.Okada;S.Amari
• 通讯作者: S.Amari

Statistical mechanics of attractor neural network models with synaptic depression

• DOI: 10.1088/1742-6596/197/1/012018
• 发表时间: 2009-12
• 期刊: Journal of Physics: Conference Series
• 作者: Y. Igarashi;Masafumi Oizumi;Yosuke Otsubo;K. Nagata;M. Okada

Switch of encoding characteristics in single neurons by subthreshold and suprathreshold stimuli

• DOI: 10.1103/physreve.81.021901
• 发表时间: 2010-02-01
• 期刊: PHYSICAL REVIEW E
• 影响因子: 2.4
• 作者: Omori, Toshiaki;Aonishi, Toru;Okada, Masato
• 通讯作者: Okada, Masato