In dense clusters of neurons in nuclei, cells may interconnect via soma-to-soma interactions, in addition to conventional synaptic connections. We illustrate this idea with a multi-layer architecture (MLA) composed of multiple clusters of recurrent sub-networks of spiking Random Neural Networks (RNN) with dense soma-to-soma interactions. We use this RNN-MLA architecture for deep learning. The i...

Recently, doc2vec has achieved excellent results in different tasks (Lau and Baldwin, 2016). In this paper, we present a context aware variant of doc2vec. We introduce a novel weight estimating mechanism that generates weights for each word occurrence according to its contribution in the context, using deep neural networks. Our context aware model can achieve similar results compared to doc2vec...

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The aim of this paper is to review some of the economic drivers of large scale bioregionalisation, using examples from deep sea hydrothermal vent communities, the Antarctic and sub-Antarctic, and Australia. These economic drivers are mainly recent conservation efforts, while early 20th century bioregionalisation was driven by 19th century taxonomy and exploration to assess available biological ...

section, a composite (deep-plane) rhytidectomy, and a subperiosteal face-lift. The results showed that the separate subcutaneous and sub-SMAS dissection interrupts the rich continuous anastomotic network between all these vessels. Arterial continuity is best maintained with the composite lift and the subperiosteal face-lift. The most significant arterial contribution of the face-lift flap is fr...