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NeuroSLAM: A brain-inspired SLAM system for 3D environments
Roboticists have long drawn inspiration from nature to develop navigation and simultaneous
localization and map** (SLAM) systems such as RatSLAM. Animals such as birds and …
localization and map** (SLAM) systems such as RatSLAM. Animals such as birds and …
Human spatial representation: What we cannot learn from the studies of rodent navigation
M Zhao - Journal of Neurophysiology, 2018 - journals.physiology.org
Studies of human and rodent navigation often reveal a remarkable cross-species similarity
between the cognitive and neural mechanisms of navigation. Such cross-species …
between the cognitive and neural mechanisms of navigation. Such cross-species …
NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation
Spatial navigation depends on the combination of multiple sensory cues from idiothetic and
allothetic sources. The computational mechanisms of mammalian brains in integrating …
allothetic sources. The computational mechanisms of mammalian brains in integrating …
Reducing computational cost during robot navigation and human–robot interaction with a human-inspired reinforcement learning architecture
We present a new neuro-inspired reinforcement learning architecture for robot online
learning and decision-making during both social and non-social scenarios. The goal is to …
learning and decision-making during both social and non-social scenarios. The goal is to …
Control of the robotic arm system with an SSVEP-based BCI
R Fu, X Feng, S Wang, Y Shi, C Jia… - … Science and Technology, 2024 - iopscience.iop.org
Recent studies on brain–computer interfaces (BCIs) implemented in robotic systems have
shown that the system's effectiveness in assisting individuals with movement disorders to …
shown that the system's effectiveness in assisting individuals with movement disorders to …
Emergent neural turing machine and its visual navigation
Abstract Traditional Turing Machines (TMs) are symbolic whose hand-crafted
representations are static and limited. Developmental Network 1 (DN-1) uses emergent …
representations are static and limited. Developmental Network 1 (DN-1) uses emergent …
Conjunctive reward–place coding properties of dorsal distal CA1 hippocampus cells
Autonomous motivated spatial navigation in animals or robots requires the association
between spatial location and value. Hippocampal place cells are involved in goal-directed …
between spatial location and value. Hippocampal place cells are involved in goal-directed …
A role for the longitudinal axis of the hippocampus in multiscale representations of large and complex spatial environments and mnemonic hierarchies
The hippocampus is involved in spatial navigation and memory in rodents and humans.
Anatomically, the hippocampus extends along a longitudinal axis that shows a combination …
Anatomically, the hippocampus extends along a longitudinal axis that shows a combination …
Modularity in nervous systems—a key to efficient adaptivity for deep reinforcement learning
Modularity as observed in biological systems has proven valuable for guiding classical
motor theories towards good answers about action selection and execution. New challenges …
motor theories towards good answers about action selection and execution. New challenges …
A new rat-compatible robotic framework for spatial navigation behavioral experiments
S Gianelli, B Harland, JM Fellous - Journal of neuroscience methods, 2018 - Elsevier
Background Understanding the neural substrate of information encoding and processing
requires a precise control of the animal's behavior. Most of what has been learned from the …
requires a precise control of the animal's behavior. Most of what has been learned from the …