Literature DB >> 22617339

iSpike: a spiking neural interface for the iCub robot.

D Gamez1, A K Fidjeland, E Lazdins.   

Abstract

This paper presents iSpike: a C++ library that interfaces between spiking neural network simulators and the iCub humanoid robot. It uses a biologically inspired approach to convert the robot's sensory information into spikes that are passed to the neural network simulator, and it decodes output spikes from the network into motor signals that are sent to control the robot. Applications of iSpike range from embodied models of the brain to the development of intelligent robots using biologically inspired spiking neural networks. iSpike is an open source library that is available for free download under the terms of the GPL.

Mesh:

Year:  2012        PMID: 22617339     DOI: 10.1088/1748-3182/7/2/025008

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  4 in total

1.  Three tools for the real-time simulation of embodied spiking neural networks using GPUs.

Authors:  Andreas K Fidjeland; David Gamez; Murray P Shanahan; Edgars Lazdins
Journal:  Neuroinformatics       Date:  2013-07

2.  Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform.

Authors:  Egidio Falotico; Lorenzo Vannucci; Alessandro Ambrosano; Ugo Albanese; Stefan Ulbrich; Juan Camilo Vasquez Tieck; Georg Hinkel; Jacques Kaiser; Igor Peric; Oliver Denninger; Nino Cauli; Murat Kirtay; Arne Roennau; Gudrun Klinker; Axel Von Arnim; Luc Guyot; Daniel Peppicelli; Pablo Martínez-Cañada; Eduardo Ros; Patrick Maier; Sandro Weber; Manuel Huber; David Plecher; Florian Röhrbein; Stefan Deser; Alina Roitberg; Patrick van der Smagt; Rüdiger Dillman; Paul Levi; Cecilia Laschi; Alois C Knoll; Marc-Oliver Gewaltig
Journal:  Front Neurorobot       Date:  2017-01-25       Impact factor: 2.650

3.  A Bio-Inspired Mechanism for Learning Robot Motion From Mirrored Human Demonstrations.

Authors:  Omar Zahra; Silvia Tolu; Peng Zhou; Anqing Duan; David Navarro-Alarcon
Journal:  Front Neurorobot       Date:  2022-03-14       Impact factor: 2.650

Review 4.  A Survey of Robotics Control Based on Learning-Inspired Spiking Neural Networks.

Authors:  Zhenshan Bing; Claus Meschede; Florian Röhrbein; Kai Huang; Alois C Knoll
Journal:  Front Neurorobot       Date:  2018-07-06       Impact factor: 2.650

  4 in total

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