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pro vyhledávání: '"Nishad Gothoskar"'
Autor:
Dileep George, Rajeev V. Rikhye, Nishad Gothoskar, J. Swaroop Guntupalli, Antoine Dedieu, Miguel Lázaro-Gredilla
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Higher-order sequence learning using a structured graph representation - clone-structured cognitive graphs (CSCG) – can explain how the hippocampus learns cognitive maps. CSCG provides novel explanations for transferable schemas and transitive infe
Externí odkaz:
https://doaj.org/article/d14e717d3a464bdd87d0683bd9f474ec
Autor:
Nishad Gothoskar, Miguel Lazaro-Gredilla, Yasemin Bekiroglu, Abhishek Agarwal, Joshua B. Tenenbaum, Vikash K. Mansinghka, Dileep George
Visual servoing enables robotic systems to perform accurate closed-loop control, which is required in many applications. However, existing methods either require precise calibration of the robot kinematic model and cameras or use neural architectures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28b6f09467b9dee6c1b27dfc333cc528
Autor:
Nishad Gothoskar, J. Swaroop Guntupalli, Rajeev V. Rikhye, Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Cognitive maps are mental representations of spatial and conceptual relationships in an environment, and are critical for flexible behavior. To form these abstract maps, the hippocampus has to learn to separate or merge aliased observations appropria
Autor:
Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George
Probabilistic graphical models (PGMs) provide a compact representation of knowledge that can be queried in a flexible way: after learning the parameters of a graphical model once, new probabilistic queries can be answered at test time without retrain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a0165b55da679565412c576a5a09e23
Autor:
Miguel Lázaro-Gredilla, Nishad Gothoskar, Dileep George, J. Swaroop Guntupalli, Antoine Dedieu, Rajeev V. Rikhye
Cognitive maps are mental representations of spatial and conceptual relationships in an environment. These maps are critical for flexible behavior as they permit us to navigate vicariously, but their underlying representation learning mechanisms are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1136ca426e50da70ce559be6d83606d
https://doi.org/10.1101/864421
https://doi.org/10.1101/864421
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1:1-22
The enormous popularity of smartphones, their rich sensing capabilities, and the data they have about their users have lead to millions of apps being developed and used. However, these capabilities have also led to numerous privacy concerns. Platform
Sequence learning is a vital cognitive function and has been observed in numerous brain areas. Discovering the algorithms underlying sequence learning has been a major endeavour in both neuroscience and machine learning. In earlier work we showed tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05000b4d90dafd29f124df075c3b3cd3
https://doi.org/10.1101/764456
https://doi.org/10.1101/764456
Publikováno v:
2019 Conference on Cognitive Computational Neuroscience.
Hippocampus encodes cognitive maps that support episodic memories, navigation, and planning. Under-standing the commonality among those maps as well as how those maps are structured, learned from experience, and used for inference and planning is an