1,721,341 research outputs found
Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential
No full textThis work is supported by the Fund for Scientific Research Flanders (FWO, Grant No. 11D0420N) . The work is furthermore supported by the Research Board of Ghent University (BOF) . The computational resources (Stevin Supercomputer Infrastructure) and services used in this work were provided by the VSC (Flemish Supercomputer Center) , funded by Ghent University, FWO, and the Flemish Government-department EWI
Predicting the performance of reconfigurable interconnects in distributed shared-memory systems
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An homeostatic activity-dependent structural plasticity algorithm for richer input combination
Full text linkThis paper introduces a novel rate-based variant of homeostatic activity-dependent structural plasticity (HADSP) for echo state networks. Despite its importance in brain development, structural plasticity has been largely overlooked in artificial neural networks. Our algorithm, although using only homeostatic plasticity, let emerge principles of Hebbian learning. Our analysis sheds light on the information processing capabilities of HADSP-powered echo state networks and suggests that HADSP effectively leverages the inter-relationships of the network's inputs. The study highlights the potential for rate-based HADSP to contribute to the field of computational neuroscience and plasticity in echo state networks. Furthermore, our findings highlight the crucial role of structural plasticity in influencing network function and organization and contribute significantly to the ongoing research on leveraging plasticity for the advancement of reservoir computing techniques
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