ArticleFrontiers in neurorobotics2018
A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle.
Article in Frontiers in neurorobotics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Spiking world model with multicompartment neurons for model-based reinforcement learning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Pramipexole Hyperactivates the External Globus Pallidus and Impairs Decision-Making in a Mouse Model of Parkinson's Disease.International journal of molecular sciences · 2024Article
- Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks.Scientific reports · 2023Article
- A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition.Patterns (New York, N.Y.) · 2023Article
- Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network.Patterns (New York, N.Y.) · 2022Article
- Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task.Frontiers in computational neuroscience · 2022Article
- Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization.Frontiers in neuroscience · 2022Article
- A brain-inspired intention prediction model and its applications to humanoid robot.Frontiers in neuroscience · 2022Article
- Multi-scale neural decoding and analysis.Journal of neural engineering · 2021Review
- A Brain-Inspired Decision-Making Linear Neural Network and Its Application in Automatic Drive.Sensors (Basel, Switzerland) · 2021Article
- A neural algorithm for Drosophila linear and nonlinear decision-making.Scientific reports · 2020Article
- Optimal UAV's Deployment and Transmit Power Design for Two Users Uplink NOMA Systems.Frontiers in neurorobotics · 2020Article
- Cortico-Hippocampal Computational Modeling Using Quantum-Inspired Neural Networks.Frontiers in computational neuroscience · 2020Article
- GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity.Frontiers in computational neuroscience · 2020Article
- A Curiosity-Based Learning Method for Spiking Neural Networks.Frontiers in computational neuroscience · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Decision-making is a crucial cognitive function for various animal species surviving in nature, and it is also a fundamental ability for intelligent agents. To make a step forward in the understanding of the computational mechanism of human-like decision-making, this paper proposes a brain-inspired decision-making spiking neural network (BDM-SNN) and applies it to decision-making tasks on intelligent agents. This paper makes the following contributions: (1) A spiking neural network (SNN) is used to model human decision-making neural circuit from both connectome and functional perspectives. (2) The proposed model combines dopamine and spike-timing-dependent plasticity (STDP) mechanisms to modulate the network learning process, which indicates more biological inspiration. (3) The model considers the effects of interactions among sub-areas in PFC on accelerating the learning process. (4) The proposed model can be easily applied to decision-making tasks in intelligent agents, such as an unmanned aerial vehicle (UAV) flying through a window and a UAV avoiding an obstacle. The experimental results support the effectiveness of the model. Compared with traditional reinforcement learning and existing biologically inspired methods, our method contains more biologically-inspired mechanistic principles, has greater accuracy and is faster.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.