Literature DB >> 10664111

A simple latency-dependent spiking-neuron model of cricket phonotaxis.

B Webb1, T Scutt.   

Abstract

A simple hypothesis regarding the recognition behaviour of crickets for conspecific songs is implemented in a dynamic simulation of spiking neurons and tested on a robot base. The model draws on data from cricket neurophysiology but requires only four neurons to reproduce a wide range of the observed behaviour. The directional response depends on relative latencies in firing onset, and the 'recognition' emerges from the implicit filtering properties of leaky-integrate-and-fire neurons. Experimental conditions reproduced include tests of syllable rate preference, song from above with sound from one side, and choice between songs. The robot produces behaviour closely comparable to the cricket in all but a 'split-song' condition. A number of properties can be observed in the neural circuit that correspond to cricket neurophysiology including apparent 'recognition neurons'. Limitations of the model, extensions and alternative models are discussed.

Mesh:

Year:  2000        PMID: 10664111     DOI: 10.1007/s004220050024

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  5 in total

1.  Designing and implementing nervous system simulations on LEGO robots.

Authors:  Daniel Blustein; Nikolai Rosenthal; Joseph Ayers
Journal:  J Vis Exp       Date:  2013-05-25       Impact factor: 1.355

Review 2.  Biological and artificial cognition: what can we learn about mechanisms by modelling physical cognition problems using artificial intelligence planning techniques?

Authors:  Jackie Chappell; Nick Hawes
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-10-05       Impact factor: 6.237

Review 3.  Cognition in insects.

Authors:  Barbara Webb
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-10-05       Impact factor: 6.237

Review 4.  Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence.

Authors:  Matthew Sims
Journal:  Front Neurorobot       Date:  2022-04-25       Impact factor: 3.493

Review 5.  Neurorobots as a Means Toward Neuroethology and Explainable AI.

Authors:  Kexin Chen; Tiffany Hwu; Hirak J Kashyap; Jeffrey L Krichmar; Kenneth Stewart; Jinwei Xing; Xinyun Zou
Journal:  Front Neurorobot       Date:  2020-10-19       Impact factor: 2.650

  5 in total

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