Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.最新文献_第6页

Activity synchronization in neural networks developing on planar substrates 平面基底上神经网络的活动同步

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202142

A. Samarin, Y. Igarashi, I. B. Kulagina, S. Korogod

{"title":"Activity synchronization in neural networks developing on planar substrates","authors":"A. Samarin, Y. Igarashi, I. B. Kulagina, S. Korogod","doi":"10.1109/ICONIP.2002.1202142","DOIUrl":"https://doi.org/10.1109/ICONIP.2002.1202142","url":null,"abstract":"Neurons taken from animal embryo and grown on plane substrate with integrated multi-electrode array possess spontaneous bursts of action potentials, which become increasingly synchronous in the course of development. We studied such synchronization phenomena in a network of simulated neurons, which accounted for developmental changes in geometry and membrane properties of biological prototypes. Growing neuritic fields of individual neurons were partitioned into dendritic and axonal sectors of random size and orientation. Synapses were established between the cells with intersecting axonal and dendritic sectors and the synaptic weight was set in proportion to the intersection area. The network was imported into NEURON simulator. The membrane properties and the intracellular calcium dynamics of the cells were set similar to those described for the neocortical pyramidal neurons. Before being connected the cells generated asynchronous bursts. The synchronization developed in the domains of interconnected cells had the patterns apparently linked to the connectivity patterns.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130688386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Regulation of spontaneous rhythmic activity and preserved stimulus dependent pattern by STDP in the hippocampal CA3 model STDP在海马CA3模型中调节自发节律活动和保留的刺激依赖模式

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202195

M. Yoshida, H. Hayashi

{"title":"Regulation of spontaneous rhythmic activity and preserved stimulus dependent pattern by STDP in the hippocampal CA3 model","authors":"M. Yoshida, H. Hayashi","doi":"10.1109/ICONIP.2002.1202195","DOIUrl":"https://doi.org/10.1109/ICONIP.2002.1202195","url":null,"abstract":"Regulations of spontaneous rhythmic activity and preserved stimulus dependent patterns by spike timing dependent synaptic plasticity (STDP) were investigated in the hippocampal CA3 network model. With the presence of STDP, the rhythmic activity such as the theta rhythm might modify recurrent connections in the hippocampal CA3. In this study, we applied STDP to a hippocampal CA3 network model that causes spontaneous rhythmic activity. As a result, some local regions appeared in the network by themselves, from which the spontaneous rhythmic activity propagated toward surrounding area (source of propagation). We found that the frequency of the spontaneous rhythmic activity converged into one specific frequency depending on the shape of the STDP modification function. We also found that burst stimulation with sufficiently high frequency of bursts could produce a source of propagation at the stimulus site. The period of time for which the source of propagation was preserved after the termination of the stimulation depended on the shape of the STDP modification function.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132581596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Fingerprint identification with LVQ LVQ指纹识别

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1198199

G. A. Khuwaja

引用次数: 9

A model of implicit association learning based on plasticity in the perirhinal cortex 基于周围皮层可塑性的内隐联想学习模型

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202799

S. Morokami, A. Suemitsu, M. Morita

引用次数: 0

Topological local principal component analysis 拓扑局部主成分分析

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202840

Zhiyong Liu, L. Xu

引用次数: 17

Condition of supralinear amplification in pairing action potentials with EPSPS 动作电位与EPSPS配对的超线性放大条件

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202124

H. Urakubo, M. Watanabe

引用次数: 0

Application of FastICA to pulse wave FastICA在脉冲波中的应用

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1198162

T. Aaoyagi, H. Tokutaka, K. Fujimura, Y. Maniwa

{"title":"Application of FastICA to pulse wave","authors":"T. Aaoyagi, H. Tokutaka, K. Fujimura, Y. Maniwa","doi":"10.1109/ICONIP.2002.1198162","DOIUrl":"https://doi.org/10.1109/ICONIP.2002.1198162","url":null,"abstract":"We consider fast independent component analysis (FastICA), which is one of the independent component analysis algorithms. FastICA was proposed by Aapo Hyvarinen et al., (2001). It adopts the method of extracting the independent components one after another by the batch method using kurtosis. This method has fast convergence. The purpose of this research is to apply FastICA to the feature extraction of pulse waves of a human being, and to verify its effectiveness. The pulse waves contain a lot of information concerning the circulation of the blood from the heart to the various parts of the body. When blood flows from the heart and is transmitted to the tips as a wave motion, it is modified by physiological conditions such as the heart beat movement, the circulation of the blood flow, and changes in the state of the minor artery system, which leads to the distortion of the shape of the waves. The individual distortions have been evaluated and several trials have been performed to evaluate the health of a person. SOM is used to cluster the pulse waves and the features extracted from each cluster are considered.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115357527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A connectionist inductive learning system for modal logic programming 模态逻辑规划的联结归纳学习系统

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1199022

A.S. d'Avila Garcez, L. Lamb, D. Gabbay

引用次数: 26

A neural network model for analyzing vibration waveform of impact sound 一种分析冲击声振动波形的神经网络模型

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1198178

K. Hosoya, T. Ogawa, H. Kanada, K. Mori

引用次数: 0

Link between energy and computation in a physical model of Hopfield network Hopfield网络物理模型中能量与计算之间的联系

Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. Pub Date : 2002-11-18 DOI: 10.1109/ICONIP.2002.1202175

A. Kumar, V. Manmohan, M. Uday Shankar, M. Vishwanathan, V. Chakravarthy

引用次数: 5