Co-domain maps for each phenotype (DCM, FHC, and LVN) identifies unique bi-molecular interaction footprints reflecting divergent disease mechanisms. They identify crucial myosin thick filament structural feature
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020. paper Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framewo...
2024-05-09 TIM: An Efficient Temporal Interaction Module for Spiking Transformer Sicheng Shen et.al. 2401.11687v3 link 2024-01-03 A Review of Findings from Neuroscience and Cognitive Psychology as Possible Inspiration for the Path to Artificial General Intelligence Florin Leon et.al. 2401.10904v1 ...
Mental stress recognition on the fly using neuroplasticity spiking neural networks Mahima Milinda Alwis Weerasinghe 1,2*, Grace Wang 3,4, Jacqueline Whalley 5 & Mark Crook‑Rumsey 6,7 Mental stress is found to be strongly connected with human cognition and well...
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020. paper Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framewo...
Music training for learners has improved greatly in recent years with the inclusion of information technology and optimization methods. The improvements focus on assisted learning, instruction suggestions, and performance assessments. An adaptive instruc
Dyadic interactions often involve a dynamic process of mutual reciprocity; to steer a series of exchanges towards a desired outcome, both interactants must adapt their own behaviour according to that of their interaction partner. Understanding the brain
Last but not least, we pointed out the necessity of computing a joint multi-modal representation space in a decentralized fashion, for the reasons of scalability & performance as well as ever-evolving data protection regulations. This effort is indented as a motivation for the international ...
The recurrent neural interaction stabilizes supra-thresh- old peaks of activation, the elementary forms of localist representations central to DFT (Fig. 2a). Such peaks may co-exist bi-stably with sub-threshold hills of activation for weak localized input patterns. A sub-threshold activation ...
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs. AAAI 2020. paper Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framewo...