ArticleFrontiers in neurorobotics2017
Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.
Article in Frontiers in neurorobotics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed, 117 citations in OpenAlex.
- Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey.Biomimetics (Basel, Switzerland) · 2024Review
- Finding the gap: neuromorphic motion-vision in dense environments.Nature communications · 2024Article
- Dynamic event-based optical identification and communication.Frontiers in neurorobotics · 2024Article
- Closing the loop: High-speed robotics with accelerated neuromorphic hardware.Frontiers in neuroscience · 2024Article
- Multiscale co-simulation design pattern for neuroscience applications.Frontiers in neuroinformatics · 2024Article
- Tutorial: using NEURON for neuromechanical simulations.Frontiers in computational neuroscience · 2023Article
- A perspective on large-scale simulation as an enabler for novel biorobotics applications.Frontiers in robotics and AI · 2023Article
- Computational Neuroscience Approach to Psychiatry: A Review on Theory-driven Approaches.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2022Review
- Embodied neuromorphic intelligence.Nature communications · 2022Review
- Reproducing a decision-making network in a virtual visual discrimination task.Frontiers in integrative neuroscience · 2022Article
- Brain-Inspired Spiking Neural Network Controller for a Neurorobotic Whisker System.Frontiers in neurorobotics · 2022Article
- A Spiking Neural Network Model of Rodent Head Direction Calibrated With Landmark Free Learning.Frontiers in neurorobotics · 2022Article
- The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments.Frontiers in neurorobotics · 2022Article
- Reaching and Grasping Movements in Parkinson's Disease: A Review.Journal of Parkinson's disease · 2022Review
- Neuromorphic Engineering Needs Closed-Loop Benchmarks.Frontiers in neuroscience · 2022Review
- Article
- Bringing Together Robotics, Neuroscience, and Psychology: Lessons Learned From an Interdisciplinary Project.Frontiers in human neuroscience · 2021Article
- Neurorobotic Models of Neurological Disorders: A Mini Review.Frontiers in neurorobotics · 2021Review
- Multimodal Representation Learning for Place Recognition Using Deep Hebbian Predictive Coding.Frontiers in robotics and AI · 2021Article
- NeuroVis: Real-Time Neural Information Measurement and Visualization of Embodied Neural Systems.Frontiers in neural circuits · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
32 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task. Rather, the embodiment has to be simulated as well. While adequate tools exist to simulate either complex neural networks or robots and their environments, there is so far no tool that allows to easily establish a communication between brain and body models. The Neurorobotics Platform is a new web-based environment that aims to fill this gap by offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of robot bodies and environments and to use the resulting neurorobotic systems for
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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.