Literature DB >> 23728477

Designing and implementing nervous system simulations on LEGO robots.

Daniel Blustein1, Nikolai Rosenthal, Joseph Ayers.   

Abstract

We present a method to use the commercially available LEGO Mindstorms NXT robotics platform to test systems level neuroscience hypotheses. The first step of the method is to develop a nervous system simulation of specific reflexive behaviors of an appropriate model organism; here we use the American Lobster. Exteroceptive reflexes mediated by decussating (crossing) neural connections can explain an animal's taxis towards or away from a stimulus as described by Braitenberg and are particularly well suited for investigation using the NXT platform.(1) The nervous system simulation is programmed using LabVIEW software on the LEGO Mindstorms platform. Once the nervous system is tuned properly, behavioral experiments are run on the robot and on the animal under identical environmental conditions. By controlling the sensory milieu experienced by the specimens, differences in behavioral outputs can be observed. These differences may point to specific deficiencies in the nervous system model and serve to inform the iteration of the model for the particular behavior under study. This method allows for the experimental manipulation of electronic nervous systems and serves as a way to explore neuroscience hypotheses specifically regarding the neurophysiological basis of simple innate reflexive behaviors. The LEGO Mindstorms NXT kit provides an affordable and efficient platform on which to test preliminary biomimetic robot control schemes. The approach is also well suited for the high school classroom to serve as the foundation for a hands-on inquiry-based biorobotics curriculum.

Entities:  

Mesh:

Year:  2013        PMID: 23728477      PMCID: PMC3719268          DOI: 10.3791/50519

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  13 in total

1.  Modeling of spiking-bursting neural behavior using two-dimensional map.

Authors:  Nikolai F Rulkov
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-04-10

2.  A simple webcam-based approach for the measurement of rodent locomotion and other behavioural parameters.

Authors:  Adriano B L Tort; Waldemar P Neto; Olavo B Amaral; Vanessa Kazlauckas; Diogo O Souza; Diogo R Lara
Journal:  J Neurosci Methods       Date:  2006-05-15       Impact factor: 2.390

Review 3.  Validating biorobotic models.

Authors:  Barbara Webb
Journal:  J Neural Eng       Date:  2006-06-21       Impact factor: 5.379

4.  A lightweight telemetry system for recording neuronal activity in freely behaving small animals.

Authors:  Diederik S Schregardus; Anton W Pieneman; Andries Ter Maat; René F Jansen; Tinco J F Brouwer; Manfred L Gahr
Journal:  J Neurosci Methods       Date:  2006-02-21       Impact factor: 2.390

5.  Readiness discharge for spontaneous initiation of walking in crayfish.

Authors:  Katsushi Kagaya; Masakazu Takahata
Journal:  J Neurosci       Date:  2010-01-27       Impact factor: 6.167

6.  Crayfish swimming: alternating motor output and giant fiber activity.

Authors:  J E Schrameck
Journal:  Science       Date:  1970-08-14       Impact factor: 47.728

7.  Taxis, kinesis and decussation.

Authors:  V Braitenberg
Journal:  Prog Brain Res       Date:  1965       Impact factor: 2.453

8.  The Neurally Controlled Animat: Biological Brains Acting with Simulated Bodies.

Authors:  Thomas B Demarse; Daniel A Wagenaar; Axel W Blau; Steve M Potter
Journal:  Auton Robots       Date:  2001       Impact factor: 3.000

9.  Shaping embodied neural networks for adaptive goal-directed behavior.

Authors:  Zenas C Chao; Douglas J Bakkum; Steve M Potter
Journal:  PLoS Comput Biol       Date:  2008-03-28       Impact factor: 4.475

10.  Connecting neurons to a mobile robot: an in vitro bidirectional neural interface.

Authors:  A Novellino; P D'Angelo; L Cozzi; M Chiappalone; V Sanguineti; S Martinoia
Journal:  Comput Intell Neurosci       Date:  2007
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