ArticleFrontiers in neurorobotics2017
A Functional Subnetwork Approach to Designing Synthetic Nervous Systems That Control Legged Robot Locomotion.
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 8 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
8 citing papers in PubMed, 56 citations in OpenAlex.
- Brain-inspired energy efficient technologies for next-generation artificial intelligence.Biological cybernetics · 2026Review
- A computational neural model that incorporates both intrinsic dynamics and sensory feedback in the Aplysia feeding network.Biological cybernetics · 2024Article
- SNS-Toolbox: An Open Source Tool for Designing Synthetic Nervous Systems and Interfacing Them with Cyber-Physical Systems.Biomimetics (Basel, Switzerland) · 2023Article
- A leg to stand on: computational models of proprioception.Current opinion in physiology · 2021Article
- Control for multifunctionality: bioinspired control based on feeding in Aplysia californica.Biological cybernetics · 2020Article
- Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.PLoS computational biology · 2020Article
- Extending the Functional Subnetwork Approach to a Generalized Linear Integrate-and-Fire Neuron Model.Frontiers in neurorobotics · 2020Article
- Integrative Biomimetics of Autonomous Hexapedal Locomotion.Frontiers in neurorobotics · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A dynamical model of an animal's nervous system, or synthetic nervous system (SNS), is a potentially transformational control method. Due to increasingly detailed data on the connectivity and dynamics of both mammalian and insect nervous systems, controlling a legged robot with an SNS is largely a problem of parameter tuning. Our approach to this problem is to design functional subnetworks that perform specific operations, and then assemble them into larger models of the nervous system. In this paper, we present networks that perform addition, subtraction, multiplication, division, differentiation, and integration of incoming signals. Parameters are set within each subnetwork to produce the desired output by utilizing the operating range of neural activity,
Indexed as
Identifiers
What OpenQuestion holds
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.