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dynamic linear models (a type of state space model) Neural network-based time series models, specifically transformers Convolutional neural networks, for encoding video frames Closed frontier large
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Università degli studi di Roma Tor Vergata Dipartimento di Biomedicina e Prevenzione | Roma, Lazio | Italy | 4 days ago
supervisor’s guidance. Activities will include implementing simulation environments based on neural dynamics models, spiking neural networks and reservoir computing, and comparing closed-loop control
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or graph neural networks. Ability to design rigorous experiments, build benchmarks, analyze results and reproduce research findings. Solid foundations in algorithms, data structures and mathematical
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Bologna, Emilia-Romagna | Italy | about 1 month ago
learning (MARL) methods (e.g., mean-field approaches) and on neural models suitable for representing collective structures and dynamics, including Graph Neural Networks. Hybrid symbolic-subsymbolic
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computational modeling frameworks to address fundamental questions in neuroscience. The postdoctoral researcher will integrate neural recordings, dynamical systems models, recurrent neural networks, and
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angle, this project aims to build self-aware neural networks that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing
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angle, this project aims to build self-aware neural networks that are constructed in a way that is inspired by what we know about self-awareness circuits in the brain and the field of self-aware computing
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networks and graph-based neural operators for fast estimation of 3D coronary hemodynamics (velocity, pressure, and wall shear stress fields); design computational pipelines that integrate image-based
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perception, computing, and learning. Solutions could involve event-driven vision, spiking neural networks on neuromorphic platforms, balanced EI networks, dynamic attractors, spike driven local learning
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biological and psychological frameworks of the nervous system. Students will be introduced to the biological machinery (cells, neural networks) making-up the nervous system, brain/cranial structures and