Navigation and the efficiency of spatial coding: insights from closed-loop simulations

Spatial learning is critical for survival and its underlying neuronal mechanisms have been studied extensively. These studies have revealed a wealth of information about the neural representations of space, such as place cells and boundary cells. While many studies have focused on how these represen...

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Vydané v:	Brain Structure and Function Ročník 229; číslo 3; s. 577 - 592
Hlavní autori:	Ghazinouri, Behnam, Nejad, Mohammadreza Mohagheghi, Cheng, Sen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024 Springer Nature B.V
Predmet:	Biomedical and Life Sciences Biomedicine Brain Cell Biology Cells Computational neuroscience Efficiency Firing pattern Firing rate Hippocampus - physiology Hypotheses Models, Neurological Motivation Neural coding Neural networks Neurology Neurons - physiology Neurosciences Original Article Simulation Spatial discrimination learning Spatial Learning Spatial Navigation - physiology Place cells Efficient coding hypothesis Spiking neural networks Fisher information
ISSN:	1863-2661, 1863-2653, 1863-2661, 0340-2061
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