Origin and role of path integration in the cognitive representations of the hippocampus: computational insights into open questions
F Savelli, JJ Knierim - Journal of Experimental Biology, 2019 - journals.biologists.com
Path integration is a straightforward concept with varied connotations that are important to
different disciplines concerned with navigation, such as ethology, cognitive science, robotics …
different disciplines concerned with navigation, such as ethology, cognitive science, robotics …
Place-cell capacity and volatility with grid-like inputs
What factors constrain the arrangement of the multiple fields of a place cell? By modeling
place cells as perceptrons that act on multiscale periodic grid-cell inputs, we analytically …
place cells as perceptrons that act on multiscale periodic grid-cell inputs, we analytically …
Reinforcement learning approaches to hippocampus-dependent flexible spatial navigation
C Tessereau, R O'Dea… - Brain and …, 2021 - journals.sagepub.com
Humans and non-human animals show great flexibility in spatial navigation, including the
ability to return to specific locations based on as few as one single experience. To study …
ability to return to specific locations based on as few as one single experience. To study …
Emergence of dynamically reconfigurable hippocampal responses by learning to perform probabilistic spatial reasoning
I Kanitscheider, I Fiete - bioRxiv, 2017 - biorxiv.org
Navigation in natural environments is computationally difficult: Location errors from motion
estimation noise accumulate over time, while landmarks can be spatially extended and often …
estimation noise accumulate over time, while landmarks can be spatially extended and often …
SLAM in XR: a bibliometric analysis of its application in virtual, augmented, and mixed reality
K Obaideen, M AlShabi - Artificial Intelligence and Machine …, 2024 - spiedigitallibrary.org
The growing sector of Extended Reality (XR), comprising Virtual Reality (VR), Augmented
Reality (AR), and Mixed Reality (MR), requires successful approaches for localization and …
Reality (AR), and Mixed Reality (MR), requires successful approaches for localization and …
Understanding biological plume tracking behavior using deep reinforcement-learning
The ability to track odor plumes in dynamic environments is critical for flying insects following
attractive odors to localize food or mates. This remarkable tracking behavior requires …
attractive odors to localize food or mates. This remarkable tracking behavior requires …
Reinforcement Learning approaches to hippocampus-dependent flexible spatial navigation
Humans and non-human animals show great flexibility in spatial navigation, including the
ability to return to specific locations based on as few as one single experience. To study …
ability to return to specific locations based on as few as one single experience. To study …
Where can a place cell put its fields? let Us count the ways
A hippocampal place cell exhibits multiple firing fields within and across environments. What
factors determine the configuration of these fields, and could they be set down in arbitrary …
factors determine the configuration of these fields, and could they be set down in arbitrary …
Neural field model of memory-guided search
ZP Kilpatrick, DB Poll - Physical Review E, 2017 - APS
Many organisms can remember locations they have previously visited during a search.
Visual search experiments have shown exploration is guided away from these locations …
Visual search experiments have shown exploration is guided away from these locations …
Learning probability distributions in randomly connected neural circuits
O Maoz - 2018 - search.proquest.com
The brain represents and reasons probabilistically about complex stimuli and motor actions
using a noisy, spike-based neural code. A key building block for such neural computations …
using a noisy, spike-based neural code. A key building block for such neural computations …