ArticleFrontiers in neurorobotics2023
Bio-inspired neural networks for decision-making mechanisms and neuromodulation for motor control in a differential robot.
Article in Frontiers in neurorobotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A System-Level Review of Bio-Inspired Technologies for Next-Generation UAVs: From Aerodynamics to Energy Systems.Biomimetics (Basel, Switzerland) · 2026Review
- Ring attractor bio-inspired neural network for social robot navigation.Frontiers in neurorobotics · 2023Article
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Authors and funding
4 authors.
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Abstract
The aim of this work is to propose bio-inspired neural networks for decision-making mechanisms and modulation of motor control of an automaton. In this work, we have adapted and applied cortical synaptic circuits, such as short-term memory circuits, winner-take-all (WTA) class competitive neural networks, modulation neural networks, and nonlinear oscillation circuits, in order to make the automaton able to avoid obstacles and explore simulated and real environments. The performance achieved by using biologically inspired neural networks to solve the task at hand is similar to that of several works mentioned in the specialized literature. Furthermore, this work contributed to bridging the fields of computational neuroscience and robotics.
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Registered trials
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