Results 21 to 30 of about 5,380 (216)

Differential Impact of Acute and Chronic Stress on CA1 Spatial Coding and Gamma Oscillations

open access: yesFrontiers in Behavioral Neuroscience, 2021
Chronic and acute stress differentially affect behavior as well as the structural integrity of the hippocampus, a key brain region involved in cognition and memory.
Anupratap Tomar   +2 more
doaj   +1 more source

Comparing Mouse and Rat Hippocampal Place Cell Activities and Firing Sequences in the Same Environments

open access: yesFrontiers in Cellular Neuroscience, 2018
Hippocampal place cells are key to spatial representation and spatial memory processing. They fire at specific locations in a space (place fields) and fire in precise patterns during theta sequences and during ripple-associated replay events.
Xiang Mou   +6 more
doaj   +1 more source

Navigation in a Space With Moving Objects: Rats Can Avoid Specific Locations Defined With Respect to a Moving Robot

open access: yesFrontiers in Behavioral Neuroscience, 2020
Animals can organize their behavior with respect to other moving animals or objects; when hunting or escaping a predator, when migrating in groups or during various social interactions.
Nikhil Ahuja   +4 more
doaj   +1 more source

Graded remapping of hippocampal ensembles under sensory conflicts

open access: yesCell Reports, 2021
Summary: Hippocampal place cells are thought to constitute a cognitive map of space derived from multimodal sensory inputs. Alteration of allocentric (visual) cues in a fixed environment is known to induce modulations of place cell activity to varying ...
Dustin Fetterhoff   +2 more
doaj   +1 more source

Intracellular Dynamics of Virtual Place Cells [PDF]

open access: yesNeural Computation, 2011
The pattern of spikes recorded from place cells in the rodent hippocampus is strongly modulated by both the spatial location in the environment and the theta rhythm. The phases of the spikes in the theta cycle advance during movement through the place field.
Sandro Romani   +2 more
openaire   +2 more sources

Brain inspired path planning algorithms for drones

open access: yesFrontiers in Neurorobotics, 2023
IntroductionWith the development of artificial intelligence and brain science, brain-inspired navigation and path planning has attracted widespread attention.MethodsIn this paper, we present a place cell based path planning algorithm that utilizes ...
Yixun Chao   +5 more
doaj   +1 more source

Neural Representation of Overlapping Path Segments and Reward Acquisitions in the Monkey Hippocampus

open access: yesFrontiers in Systems Neuroscience, 2019
Disambiguation of overlapping events is thought to be the hallmark of episodic memory. Recent rodent studies have reported that when navigating overlapping path segments in the different routes place cell activity in the same overlapping path segments ...
Rafael Vieira Bretas   +7 more
doaj   +1 more source

LPMP: A Bio-Inspired Model for Visual Localization in Challenging Environments

open access: yesFrontiers in Robotics and AI, 2022
Autonomous vehicles require precise and reliable self-localization to cope with dynamic environments. The field of visual place recognition (VPR) aims to solve this challenge by relying on the visual modality to recognize a place despite changes in the ...
Sylvain Colomer   +5 more
doaj   +1 more source

Place Cells, Grid Cells, Attractors, and Remapping [PDF]

open access: yesNeural Plasticity, 2011
Place and grid cells are thought to use a mixture of external sensory information and internal attractor dynamics to organize their activity. Attractor dynamics may explain both why neurons react coherently following sufficiently large changes to the environment (discrete attractors) and how firing patterns move smoothly from one representation to the ...
openaire   +4 more sources

CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning

open access: yesFrontiers in Neuroinformatics, 2023
Reinforcement learning (RL) has become a popular paradigm for modeling animal behavior, analyzing neuronal representations, and studying their emergence during learning. This development has been fueled by advances in understanding the role of RL in both
Nicolas Diekmann   +7 more
doaj   +1 more source

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