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Diogo Santos-Pata

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Frontiers in Behavioral Neuroscience|October 30, 2018
Human Vicarious Trial and Error Is Predictive of Spatial Navigation PerformanceDiogo Santos-Pata, Paul F M J Verschure
Current Biology : CB|September 30, 2023
Theta-band phase locking during encoding leads to coordinated entorhinal-hippocampal replayDiogo Santos-Pata, Caswell Barry, H Freyja Ólafsdóttir
Learning & Memory (Cold Spring Harbor, N.Y.)|May 19, 2022
Saccade rate is associated with recall of items in working memorySock Ching Low, Paul F M J Verschure, Diogo Santos-Pata
Frontiers in Computational Neuroscience|August 4, 2017
Size Matters: How Scaling Affects the Interaction between Grid and Border CellsDiogo Santos-Pata, Riccardo Zucca, Sock C Low, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 12, 2019
Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified modelDiogo Santos-Pata, Riccardo Zucca, Héctor López-Carral, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2015
An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-XGiovanni Maffei, Diogo Santos-Pata, Encarni Marcos, et al.
Trends in Cognitive Sciences|April 28, 2021
Epistemic Autonomy: Self-supervised Learning in the Mammalian HippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
Iscience|May 27, 2021
Erratum: Entorhinal mismatch: A model of self-supervised learning in the hippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
Iscience|May 17, 2021
Entorhinal mismatch: A model of self-supervised learning in the hippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 30, 2025
Sustained Hippocampal Theta Oscillations Reflect Experience-Dependent Learning in Backward Temporal Order Memory RetrievalHongjie Jiang, Jing Cai, Diogo Santos-Pata, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Frontiers in Behavioral Neuroscience|October 30, 2018
Human Vicarious Trial and Error Is Predictive of Spatial Navigation PerformanceDiogo Santos-Pata, Paul F M J Verschure
Current Biology : CB|September 30, 2023
Theta-band phase locking during encoding leads to coordinated entorhinal-hippocampal replayDiogo Santos-Pata, Caswell Barry, H Freyja Ólafsdóttir
Learning & Memory (Cold Spring Harbor, N.Y.)|May 19, 2022
Saccade rate is associated with recall of items in working memorySock Ching Low, Paul F M J Verschure, Diogo Santos-Pata
Frontiers in Computational Neuroscience|August 4, 2017
Size Matters: How Scaling Affects the Interaction between Grid and Border CellsDiogo Santos-Pata, Riccardo Zucca, Sock C Low, et al.
Neural Networks : the Official Journal of the International Neural Network Society|August 12, 2019
Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified modelDiogo Santos-Pata, Riccardo Zucca, Héctor López-Carral, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 21, 2015
An embodied biologically constrained model of foraging: from classical and operant conditioning to adaptive real-world behavior in DAC-XGiovanni Maffei, Diogo Santos-Pata, Encarni Marcos, et al.
Trends in Cognitive Sciences|April 28, 2021
Epistemic Autonomy: Self-supervised Learning in the Mammalian HippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
Iscience|May 27, 2021
Erratum: Entorhinal mismatch: A model of self-supervised learning in the hippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
Iscience|May 17, 2021
Entorhinal mismatch: A model of self-supervised learning in the hippocampusDiogo Santos-Pata, Adrián F Amil, Ivan Georgiev Raikov, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|May 30, 2025
Sustained Hippocampal Theta Oscillations Reflect Experience-Dependent Learning in Backward Temporal Order Memory RetrievalHongjie Jiang, Jing Cai, Diogo Santos-Pata, et al.
Pageof 1