AIMC Topic: Spatial Navigation
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Deep Learning-Emerged Grid Cells-Based Bio-Inspired Navigation in Robotics.
Sensors (Basel, Switzerland)
Mar 4, 2025
Grid cells in the brain's entorhinal cortex are essential for spatial navigation and have inspired advancements in robotic navigation systems. This paper first provides an overview of recent research on grid cell-based navigation in robotics, focusin...
I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.
Journal of the Royal Society, Interface
Jan 22, 2025
Achieving a comprehensive understanding of animal intelligence demands an integrative approach that acknowledges the interplay between an organism's brain, body and environment. Insects, despite their limited computational resources, demonstrate rema...
Understanding Learning from EEG Data: Combining Machine Learning and Feature Engineering Based on Hidden Markov Models and Mixed Models.
Neuroinformatics
Sep 10, 2024
Theta oscillations, ranging from 4-8 Hz, play a significant role in spatial learning and memory functions during navigation tasks. Frontal theta oscillations are thought to play an important role in spatial navigation and memory. Electroencephalograp...
Inductive biases of neural network modularity in spatial navigation.
Science advances
Jul 19, 2024
The brain may have evolved a modular architecture for daily tasks, with circuits featuring functionally specialized modules that match the task structure. We hypothesize that this architecture enables better learning and generalization than architect...
A recurrent network model of planning explains hippocampal replay and human behavior.
Nature neuroscience
Jun 7, 2024
When faced with a novel situation, people often spend substantial periods of time contemplating possible futures. For such planning to be rational, the benefits to behavior must compensate for the time spent thinking. Here, we capture these features ...
A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies.
Cell reports
Jan 26, 2024
Outside of the laboratory, animals behave in spaces where they can transition between open areas and coverage as they interact with others. Replicating these conditions in the laboratory can be difficult to control and record. This has led to a domin...
An explainable artificial intelligence approach to spatial navigation based on hippocampal circuitry.
Neural networks : the official journal of the International Neural Network Society
Mar 30, 2023
Learning to navigate a complex environment is not a difficult task for a mammal. For example, finding the correct way to exit a maze following a sequence of cues, does not need a long training session. Just a single or a few runs through a new enviro...
Brain-Controlled 2D Navigation Robot Based on a Spatial Gradient Controller and Predictive Environmental Coordinator.
IEEE journal of biomedical and health informatics
Dec 8, 2022
OBJECTIVE: Brain-computer interfaces (BCIs) have been used in two-dimensional (2D) navigation robotic devices, such as brain-controlled wheelchairs and brain-controlled vehicles. However, contemporary BCI systems are driven by binary selective contro...
A robotic model of hippocampal reverse replay for reinforcement learning.
Bioinspiration & biomimetics
Dec 2, 2022
Hippocampal reverse replay, a phenomenon in which recently active hippocampal cells reactivate in the reverse order, is thought to contribute to learning, particularly reinforcement learning (RL), in animals. Here, we present a novel computational mo...
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks.
IEEE transactions on neural networks and learning systems
Nov 30, 2022
Spatial mapping and navigation are critical cognitive functions of autonomous agents, enabling one to learn an internal representation of an environment and move through space with real-time sensory inputs, such as visual observations. Existing model...
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