Advances in Brain Inspired Cognitive Systems: 8th by Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng,

By Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang

This booklet constitutes the refereed lawsuits of the eighth foreign convention on mind encouraged Cognitive structures, BICS 2016, held in Beijing, China, in November 2016. The 32 complete papers provided have been rigorously reviewed and chosen from forty three submissions. They talk about the rising components and demanding situations, current the cutting-edge of brain-inspired cognitive structures examine and purposes in different fields via overlaying many themes in mind encouraged cognitive platforms similar study together with biologically encouraged structures, cognitive neuroscience, types cognizance, and neural computation.

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The attention-based sequence-to-sequence framework for Chinese poetry generation. The entire framework of the attention-based model applied to Chinese poetry generation is illustrated in Fig. 1. ). ). , hT ) of the encoder. Each hidden state hi contributes to the generation according to a relevant factor αt,i that measures the similarity between st and hi . To alleviate the problem that vanilla RNN tend to forget historical input quickly [21], we used GRU in every RNN in our model to provide a strong memory for theme.

7(12), 942–951 (2006) 12. : Self-referential processing in our brainla meta-analysis of imaging studies on the self. NeuroImage 31, 440–457 (2006) 13. : Neuroscience of self and selfregulation. Ann. Rev. Psychol. 62, 363–390 (2011) 14. : A meta-analysis of functional neuroimaging studies of self-and other judgments reveals a spatial gradient for mentalizing in medial prefrontal cortex. J. Cogn. Neurosci. 24(8), 1742–1752 (2012) 15. : Altered brain activation during action imitation and observation in schizophrenia: a translational approach to investigating social dysfunction in schizophrenia.

C. Pre-train the HCNN on the data of three other subjects, and fine-tune it by the data of a new subject, and then test the HCNN on the new subject. 4 Results Before showing the classification performance, we plan to illustrate the complexity of the previous task. We introduce Adjusted Cosine Similarity (ACS) as criterion to measure the similarity of features for three emotion states. ACS computes the cosine value of two sets of spatial vector, and the bigger the value is, the smaller the angel is, so the more confidence we acquire to assert that the two vectors are the same.

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