Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pi...Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pictures with the same or a different unconscious valence (SUV versus DUV). In the first event-related potential (ERP) study, DUV elicited a smaller N2 as compared with SUV. In the second functional magnetic resonance imaging (fMRI) experiment, the left middle frontal gyrus (MFG) was activated under DUV condition in comparison to SUV condition. These results support the idea of interactions between unconscious processes (unconscious mismatch detection). The theoretical implications are discussed in the light of the global neuronal workspace theory.展开更多
Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image pro...Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing system.The theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on aregiven.The layout design of the whole circuit are also given.The binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits.展开更多
In the present article, we argue that consciousness and body are not to be separate to explain the intentional consciousness of the human being facing to environment. 1) The most neurobiologist and neurocognitivist st...In the present article, we argue that consciousness and body are not to be separate to explain the intentional consciousness of the human being facing to environment. 1) The most neurobiologist and neurocognitivist studies suggest that the emerging consciousness appears to be a generic recurring process which subsumes under it the various results of scientist approaches. When analyzed with the cybernetic transductive method of Simondon, this process can be viewed as a noetico-neuronal unit which the sui generis activity can be boiled down to concept of intentional consciousness. 2) Homeostasis can be also metaphorically described as a generic recurring process which subsumes under it the myriad molecular feedback loops of organism. This self-regulating dynamic process could be governed by the cosmologic (Earth + Universe) production of entropy, which would keep high activity and dissipating energy and low internal entropy to maintain an ordering in the organic structure. 3) Based on numerous arguments and data, the cerebral noetico-neuronal process and the self-regulating homeostasic process may be viewed as an entire physiological (brain + body) system. We suggest that the whole (brain + body) has an intentional embodied consciousness that could be driven by the cosmologic production of entropy.展开更多
电力时序数据的分类问题是数据挖掘领域中的一个研究热点。对电力用户模式分类可以帮助电网企业分析用户用电特性,实现差异化营销。在回声状态神经网络(echo state network,ESN)基础上引入过程神经元,提出一种用于电力时序数据分类的新...电力时序数据的分类问题是数据挖掘领域中的一个研究热点。对电力用户模式分类可以帮助电网企业分析用户用电特性,实现差异化营销。在回声状态神经网络(echo state network,ESN)基础上引入过程神经元,提出一种用于电力时序数据分类的新型神经网络——过程回声状态网络(process echo state network,PESN)。该网络通过对连接权重进行函数化,实现函数域到实数域的映射。并针对权函数难以训练学习的问题,提出利用基函数的展开形式来逼近权函数的学习算法,从而将回声状态神经网络从时序预测领域进一步扩展到时序分类领域中。仿真实验结果证明,与传统时间序列分类算法相比,过程回声状态网络在用电模式分类实验中表现出了更好的效果。展开更多
文摘Many studies revealed unconscious effects on conscious processing. However, in this study, we tried to investigate whether unconscious processes could interact with each other by using simultaneously presented face pictures with the same or a different unconscious valence (SUV versus DUV). In the first event-related potential (ERP) study, DUV elicited a smaller N2 as compared with SUV. In the second functional magnetic resonance imaging (fMRI) experiment, the left middle frontal gyrus (MFG) was activated under DUV condition in comparison to SUV condition. These results support the idea of interactions between unconscious processes (unconscious mismatch detection). The theoretical implications are discussed in the light of the global neuronal workspace theory.
文摘Based on the model of a formal neuron proposed by McCulloch and Pitts,a kind ofneural circuit,which is a CMOS Variable Threshold Logic(VTL)circuit,is given in this paperconsidering the features of the binary image processing system.The theoretical analysis,andthe simulations for the building block circuits such as D/A converters,comparator and so on aregiven.The layout design of the whole circuit are also given.The binary image processing can berealized by using the VTL circuit combined with its external auxiliary circuits.
文摘In the present article, we argue that consciousness and body are not to be separate to explain the intentional consciousness of the human being facing to environment. 1) The most neurobiologist and neurocognitivist studies suggest that the emerging consciousness appears to be a generic recurring process which subsumes under it the various results of scientist approaches. When analyzed with the cybernetic transductive method of Simondon, this process can be viewed as a noetico-neuronal unit which the sui generis activity can be boiled down to concept of intentional consciousness. 2) Homeostasis can be also metaphorically described as a generic recurring process which subsumes under it the myriad molecular feedback loops of organism. This self-regulating dynamic process could be governed by the cosmologic (Earth + Universe) production of entropy, which would keep high activity and dissipating energy and low internal entropy to maintain an ordering in the organic structure. 3) Based on numerous arguments and data, the cerebral noetico-neuronal process and the self-regulating homeostasic process may be viewed as an entire physiological (brain + body) system. We suggest that the whole (brain + body) has an intentional embodied consciousness that could be driven by the cosmologic production of entropy.
文摘电力时序数据的分类问题是数据挖掘领域中的一个研究热点。对电力用户模式分类可以帮助电网企业分析用户用电特性,实现差异化营销。在回声状态神经网络(echo state network,ESN)基础上引入过程神经元,提出一种用于电力时序数据分类的新型神经网络——过程回声状态网络(process echo state network,PESN)。该网络通过对连接权重进行函数化,实现函数域到实数域的映射。并针对权函数难以训练学习的问题,提出利用基函数的展开形式来逼近权函数的学习算法,从而将回声状态神经网络从时序预测领域进一步扩展到时序分类领域中。仿真实验结果证明,与传统时间序列分类算法相比,过程回声状态网络在用电模式分类实验中表现出了更好的效果。
