Results 31 to 40 of about 9,340,776 (309)

Galectin-3 Negatively Regulates Hippocampus-Dependent Memory Formation through Inhibition of Integrin Signaling and Galectin-3 Phosphorylation

Frontiers in Molecular Neuroscience, 2017
Galectin-3, a member of the galectin protein family, has been found to regulate cell proliferation, inhibit apoptosis and promote inflammatory responses.
Yan-Chu Chen, Yun-Li Ma, Cheng-Hsiung Lin, Sin-Jhong Cheng, Sin-Jhong Cheng, Wei-Lun Hsu, Eminy H.-Y. Lee, Eminy H.-Y. Lee   +7 more
doaj   +1 more source

Compressed Online Dictionary Learning for Fast fMRI Decomposition [PDF]

, 2016
We present a method for fast resting-state fMRI spatial decomposi-tions of very large datasets, based on the reduction of the temporal dimension before applying dictionary learning on concatenated individual records from groups of subjects. Introducing a
Mensch, Arthur, Thirion, Bertrand, Varoquaux, Gaël   +2 more
core   +5 more sources

Assessment of spatial learning and memory in the Barnes maze task in rodents—methodological consideration

Naunyn-Schmiedeberg's Archives of Pharmacology, 2018
Among the methods valuable for assessing spatial learning and memory impairments in rodents, the Barnes maze (BM) task deserves special attention.
Kinga Gawel, Ewa Gibuła, M. Marszałek-Grabska, Joanna Filarowska, J. Kotlinska   +4 more
semanticscholar   +1 more source

Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning

Frontiers in Computational Neuroscience, 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 ...
Pablo Scleidorovich, Jean-Marc Fellous, Alfredo Weitzenfeld   +2 more
doaj   +1 more source

DeepST: identifying spatial domains in spatial transcriptomics by deep learning

Nucleic Acids Research, 2022
Recent advances in spatial transcriptomics (ST) have brought unprecedented opportunities to understand tissue organization and function in spatial context. However, it is still challenging to precisely dissect spatial domains with similar gene expression
Chang Xu, Xiyun Jin, Songren Wei, Pingping Wang, Meng Luo, Zhaochun Xu, Wenyi Yang, Yideng Cai, Lixing Xiao, Xiaoyu Lin, Hongxin Liu, Rui Cheng, Fenglan Pang, Rui Chen, Xi Su, Ying Hu, Guohua Wang, Qinghua Jiang   +17 more
semanticscholar   +1 more source

Effect of a Strawberry and Spinach Dietary Supplement on Spatial Learning in Early and Late Middle-Aged Female Rats

Antioxidants, 2018
The present experiment sought to determine the effect of an eight-week, high antioxidant, whole-foods dietary supplement on Morris Water Maze performance in early and late middle-aged female rats.
Paula M. Millin, Gina T. Rickert
doaj   +1 more source

The Spatial Learning Task of Lhermitte and Signoret (1972): Normative Data in Adults Aged 18–45

Frontiers in Psychology, 2022
ObjectiveThe Spatial Learning Task of Lhermitte and Signoret is an object-location arbitrary associative learning task. The task was originally developed to evaluate adults with severe amnesia.
Alana Collins, Michael M. Saling, Sarah J. Wilson, Graeme D. Jackson, Graeme D. Jackson, Chris Tailby, Chris Tailby   +6 more
doaj   +1 more source

Grid Cell Hexagonal Patterns Formed by Fast Self-Organized Learning within Entorhinal Cortex [PDF]

, 2009
Grid cells in the dorsal segment of the medial entorhinal cortex (dMEC) show remarkable hexagonal activity patterns, at multiple spatial scales, during spatial navigation. How these hexagonal patterns arise has excited intense interest. It has previously
Alonso, Berke, Blair, Boucheny, Burak, Burgess, Burgess, Carpenter, Carpenter, Carpenter, Carpenter, Carpenter, Egorov, Frank, Fuhs, Giocomo, Gorchetchnikov, Grossberg, Grossberg, Grossberg, Grossberg, Grossberg, Grossberg, Hafting, Hafting, Hasselmo, Hasselmo, Hasselmo, Klink, Klink, McNaughton, Mhatre, Mhatre, Muller, O'Keefe, Olson, Redish, Rolls, Sargolini, Sharp, Skaggs, Solstad, Song, Taube, Thompson, Wilson   +45 more
core   +2 more sources

Cholinergic modulation of spatial learning, memory and navigation

European Journal of Neuroscience, 2018
Spatial learning, including encoding and retrieval of spatial memories as well as holding spatial information in working memory generally serving navigation under a broad range of circumstances, relies on a network of structures.
N. Solari, B. Hangya
semanticscholar   +1 more source

Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting [PDF]

International Joint Conference on Artificial Intelligence, 2017
Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satisfy the requirements of mid-and-long term prediction tasks and often neglect ...
Ting Yu, Haoteng Yin, Zhanxing Zhu
semanticscholar   +1 more source