Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Alfredo Weitzenfeld"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 16 (2022)
Extensive studies in rodents show that place cells in the hippocampus have firing patterns that are highly correlated with the animal's location in the environment and are organized in layers of increasing field sizes or scales along its dorsoventral
Externí odkaz:
https://doaj.org/article/1898485405ec4fc3a5ac6b021fa40963
Autor:
Nicolas Cazin, Martin Llofriu Alonso, Pablo Scleidorovich Chiodi, Tatiana Pelc, Bruce Harland, Alfredo Weitzenfeld, Jean-Marc Fellous, Peter Ford Dominey
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 7, p e1006624 (2019)
As rats learn to search for multiple sources of food or water in a complex environment, they generate increasingly efficient trajectories between reward sites. Such spatial navigation capacity involves the replay of hippocampal place-cells during awa
Externí odkaz:
https://doaj.org/article/50d29eff8da241fca4fa0cb01cc54499
An overview of the Neural Simulation Language (NSL), including examples of a rich variety of brain models.The Neural Simulation Language (NSL), developed by Alfredo Weitzenfeld, Michael Arbib, and Amanda Alexander, provides a simulation environment f
Publikováno v:
Biological Cybernetics. 114:187-207
Classic studies have shown that place cells are organized along the dorsoventral axis of the hippocampus according to their field size, with dorsal hippocampal place cells having smaller field sizes than ventral place cells. Studies have also suggest
Publikováno v:
IJCNN
We show how hippocampal replay could explain latent learning, a phenomenon observed in animals where unrewarded pre-exposure to an environment, i.e. habituation, improves task learning rates once rewarded trials begin. We first describe a computation
Publikováno v:
Biological Cybernetics (Modeling)
Biological Cybernetics (Modeling), Springer Verlag, 2020, Special issue, 114 (2), pp.249-268. ⟨10.1007/s00422-020-00820-2⟩
Biological Cybernetics (Modeling), Springer Verlag, 2020, Special issue, 114 (2), pp.249-268. ⟨10.1007/s00422-020-00820-2⟩
International audience; An open problem in the cognitive dimensions of navigation concerns how previous exploratory experience is reorganized in order to allow the creation of novel efficient navigation trajectories. This behavior is revealed in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28bbcd647bd8dff514d36087552afff0
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02611845
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02611845
Publikováno v:
Biological Cybernetics (Modeling)
Biological Cybernetics (Modeling), Springer Verlag, 2020, 114 (2), pp.137-138. ⟨10.1007/s00422-020-00832-y⟩
Biological Cybernetics (Modeling), Springer Verlag, 2020, 114 (2), pp.137-138. ⟨10.1007/s00422-020-00832-y⟩
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b998b8a233c10b131860058af1ab2d70
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02562491
https://hal-univ-bourgogne.archives-ouvertes.fr/hal-02562491
Publikováno v:
ICICT
This paper presents a mobile app developed to optimize the drone flight in a precision agriculture scenario. The Android platform was chosen, once it have free tools for development and there are many different API that could be used to solve this pr
Publikováno v:
Hippocampus. 28:853-866
A large body of evidence shows that the hippocampus is necessary for successful spatial navigation. Various studies have shown anatomical and functional differences between the dorsal (DHC) and ventral (VHC) portions of this structure. The DHC is pri
Publikováno v:
Journal of Intelligent & Robotic Systems. 91:85-99
The paper presents a bio-inspired robotics model for spatial cognition derived from neurophysiological and experimental studies in rats. The model integrates Hippocampus place cells providing long-term spatial localization with Enthorinal Cortex grid