Artificial Brain Construction based on a Massive Connection of Higher-order and Active Silicon Neurons
Artificial Brain Construction based on a Massive Connection of Higher-order and Active Silicon Neurons
批准号:
18360159
负责人:
NAKAJIMA Koji
金额:
$10.71万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2006
资助国家:
日本
项目状态:
已结题
起止时间:
2006 至 2009
中文摘要
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英文摘要
We have analyzed bursting characteristics of neuron models based on a concept of potential with active areas. The parameter dependence of coupling oscillators with burst has been clarified. An LSI microchip with 36 neuron units have been measured to analyze coupling systems, and discussed to increase system size. We obtained 100% success rate for TSP and QAP problems solving on neural networks with higher order dynamics.
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DOI:
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发表时间:
2006
期刊:
Journal of the Korean Physical Society
影响因子:
0.6
作者:
[Yasuyuki Yamada;K. Nakajima;K. Nakajima]
通讯作者:
Yasuyuki Yamada;K. Nakajima;K. Nakajima
Analyses of Two Dimensional Hindmarsh-Rose Type Model Based-on a Concept of Potential with Active Areas
基于活性区势概念的二维Hindmarsh-Rose型模型分析
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
[K. Kurose, T. Sota, Y. Hayakawa, K. Nakajima]
通讯作者:
K. Nakajima
高次シナプス結合ニューラルネットワークによる組み合わせ最適化問題解探査
使用高阶突触连接神经网络搜索组合优化问题的解决方案
DOI:
--
发表时间:
2009
期刊:
影响因子:
--
作者:
[曽田尚宏, 早川吉弘, 中島康治]
通讯作者:
中島康治
2次ポテンシャル上にアクティブエリアを持つ振動子相互結合系の振る舞い
二次电位上具有活动区域的互耦合振荡器系统的行为
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
[黒瀬幸司, 曽田尚宏, 早川吉弘, 佐藤茂雄, 中島康治]
通讯作者:
中島康治
Recalling Temporal Sequences of Patterns Using Neurons with Hysteretic Property
使用具有滞后特性的神经元回忆模式的时间序列
DOI:
--
发表时间:
2008
期刊:
IEICE Trans. Fundamentals vol.E91-A,No.4
影响因子:
--
作者:
[J. Sveholm, Y. Hayakawa, K. Nakajima]
通讯作者:
K. Nakajima
共 61 条
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Expression regulation of basement membrane proteins by transcription factor of epithelial to mesenchymal transition
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SFQ Fast Fourier Transform Circuit Using Localized SignalTransmission
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批准号:18080001
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The architectonic Study of information processing system based on fabricating an active artificial brain
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Constitution of Neuro-based Dynamic Memory
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Study on an associative memory system with a new analog memory device
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INTEGRATION OF NEURAL NETWORKS USING SUPERCONDUCTIVE DEVICES
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财政年份:1994
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负责人:NAKAJIMA Koji
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依托单位:
Integrated synapse devices for fluxon neural networks
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批准号:05650322
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依托单位: