Learning accurate path integration in ring attractor models of the head direction system [PDF]
eLife, 2022 Ring attractor models for angular path integration have received strong experimental support. To function as integrators, head direction circuits require precisely tuned connectivity, but it is currently unknown how such tuning could be achieved.
Pantelis Vafidis +3 more
doaj +2 more sources
Influence of sensory modality and control dynamics on human path integration [PDF]
eLife, 2022 Path integration is a sensorimotor computation that can be used to infer latent dynamical states by integrating self-motion cues. We studied the influence of sensory observation (visual/vestibular) and latent control dynamics (velocity/acceleration) on ...
Akis Stavropoulos +4 more
doaj +2 more sources
Not seeing the forest for the trees: combination of path integration and landmark cues in human virtual navigation [PDF]
Frontiers in Behavioral NeuroscienceIntroductionIn order to successfully move from place to place, our brain often combines sensory inputs from various sources by dynamically weighting spatial cues according to their reliability and relevance for a given task.
Jonas Scherer +6 more
doaj +2 more sources
Principles of Insect Path Integration. [PDF]
Curr Biol, 2018 Continuously monitoring its position in space relative to a goal is one of the most essential tasks for an animal that moves through its environment. Species as diverse as rats, bees, and crabs achieve this by integrating all changes of direction with the distance covered during their foraging trips, a process called path integration.
Heinze S, Narendra A, Cheung A.
europepmc +7 more sources
Corrigendum: How path integration abilities of blind people change in different exploration conditions [PDF]
Frontiers in NeuroscienceShehzaib Shafique +5 more
doaj +2 more sources
A Neural Network Model for Learning 3D Object Representations Through Haptic Exploration
Frontiers in Neurorobotics, 2021 Humans initially learn about objects through the sense of touch, in a process called “haptic exploration.” In this paper, we present a neural network model of this learning process. The model implements two key assumptions.
Xiaogang Yan +2 more
doaj +1 more source
Multi-Scale Extension in an Entorhinal-Hippocampal Model for Cognitive Map Building
Frontiers in Neurorobotics, 2021 Neuroscience research shows that, by relying on internal spatial representations provided by the hippocampus and entorhinal cortex, mammals are able to build topological maps of environments and navigate.
Jiru Wang, Rui Yan, Huajin Tang
doaj +1 more source
Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex [PDF]
Cell Reports, 2021 Malcolm G Campbell +2 more
exaly +2 more sources
Entanglement and the Path Integral
Foundations of Physics, 2022 23 pages, 6 figures, comments ...
Wharton, Ken, Liu, Raylor
openaire +2 more sources
Path integrals for parastatistics [PDF]
Physical Review D, 2004 We demonstrate that parastatistics can be quantized using path integrals by calculating the generating functionals for time-ordered products of both free and interacting parabose and parafermi fields in terms of path integrals. We also give a convenient form of the commutation relations for the Green components of the parabose and parafermi operators ...
Greenberg, O. W., Mishra, A. K.
openaire +2 more sources