ArticleFrontiers in computational neuroscience2013
Rapid, parallel path planning by propagating wavefronts of spiking neural activity.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Autonomous pathfinding for underactuated AUVs using FDHNN.Scientific reports · 2026Article
- A deterministic neuromorphic architecture with scalable time synchronization.Nature communications · 2025Article
- A neuromorphic electronic artist for robotic painting.Scientific reports · 2025Article
- Article
- Neuronal traveling waves form preferred pathways using synaptic plasticity.Journal of computational neuroscience · 2025Article
- Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling.eLife · 2024Article
- Brain inspired path planning algorithms for drones.Frontiers in neurorobotics · 2023Article
- A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells.Frontiers in computational neuroscience · 2023Article
- Toward Reflective Spiking Neural Networks Exploiting Memristive Devices.Frontiers in computational neuroscience · 2022Review
- Brian2Loihi: An emulator for the neuromorphic chip Loihi using the spiking neural network simulator Brian.Frontiers in neuroinformatics · 2022Article
- Temporal State Machines: Using Temporal Memory to Stitch Time-based Graph Computations.ACM journal on emerging technologies in computing systems · 2021Article
- Spatial Memory in a Spiking Neural Network with Robot Embodiment.Sensors (Basel, Switzerland) · 2021Article
- Benchmarking Highly Parallel Hardware for Spiking Neural Networks in Robotics.Frontiers in neuroscience · 2021Article
- Replay as wavefronts and theta sequences as bump oscillations in a grid cell attractor network.eLife · 2019Article
- Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits.PLoS computational biology · 2017Article
- Toward an Integration of Deep Learning and Neuroscience.Frontiers in computational neuroscience · 2016Article
- Article
- Re-encoding of associations by recurrent plasticity increases memory capacity.Frontiers in synaptic neuroscience · 2014Article
- A computational model for preplay in the hippocampus.Frontiers in computational neuroscience · 2013Article
- Spiking neural network connectivity and its potential for temporal sensory processing and variable binding.Frontiers in computational neuroscience · 2013Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficient path planning and navigation is critical for animals, robotics, logistics and transportation. We study a model in which spatial navigation problems can rapidly be solved in the brain by parallel mental exploration of alternative routes using propagating waves of neural activity. A wave of spiking activity propagates through a hippocampus-like network, altering the synaptic connectivity. The resulting vector field of synaptic change then guides a simulated animal to the appropriate selected target locations. We demonstrate that the navigation problem can be solved using realistic, local synaptic plasticity rules during a single passage of a wavefront. Our model can find optimal solutions for competing possible targets or learn and navigate in multiple environments. The model provides a hypothesis on the possible computational mechanisms for optimal path planning in the brain, at the same time it is useful for neuromorphic implementations, where the parallelism of information processing proposed here can fully be harnessed in hardware.
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Registered trials
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