Edinburgh Research Archive

Adaptive map alignment in the superior colliculus of the barn owl: a neuromorphic implementation

dc.contributor.advisor
Murray, Alan
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dc.contributor.author
Huo, Juan
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dc.contributor.sponsor
Engineering and Physical Sciences Research Council (EPSRC)
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dc.contributor.sponsor
Doctoral Training Center(DTC)
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dc.date.accessioned
2011-02-02T11:36:02Z
dc.date.available
2011-02-02T11:36:02Z
dc.date.issued
2010
dc.description.abstract
Adaptation is one of the basic phenomena of biology, while adaptability is an important feature for neural network. Young barn owl can well adapt its visual and auditory integration to the environmental change, such as prism wearing. At first, a mathematical model is introduced by the related study in biological experiment. The model well explained the mechanism of the sensory map realignment through axongenesis and synaptogenesis. Simulation results of this model are consistent with the biological data. Thereafter, to test the model’s application in hardware, the model is implemented into a robot. Visual and auditory signals are acquired by the sensors of the robot and transferred back to PC through bluetooth. Results of the robot experiment are presented, which shows the SC model allowing the robot to adjust visual and auditory integration to counteract the effects of a prism. Finally, based on the model, a silicon Superior Colliculus is designed in VLSI circuit and fabricated. Performance of the fabricated chip has shown the synaptogenesis and axogenesis can be emulated in VLSI circuit. The circuit of neural model provides a new method to update signals and reconfigure the switch network (the chip has an automatic reconfigurable network which is used to correct the disparity between signals). The chip is also the first Superior Colliculus VLSI circuit to emulate the sensory map realignment.
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dc.identifier.uri
http://hdl.handle.net/1842/4762
dc.language.iso
en
dc.publisher
The University of Edinburgh
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dc.relation.hasversion
J.Huo, Alan Murray, ”The Adaptation of Visual and Auditory Integration in the Barn Owl Superior Colliculus with Spike Timing Dependent Plasticity”, Neural Networks, 22(7):913-21, 2009
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dc.relation.hasversion
J. Huo, A.F. Murray; ”The Role of Membrane Threshold & Rate in STDP Silicon Neuron Circuit Simulation”, Lecture Notes in Computer Science, 3697/2005, 1009-1014, 2005
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dc.relation.hasversion
J. Huo, Martin Reekie, A.F. Murray; ”Silicon Superior Colliculus for the Integration of Visual and Auditory Information with Adaptive Axon Connection”, ISCAS (IEEE International Symposium on Circuits and Systems) 2009, May
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dc.subject
adaptability
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dc.subject
superior colliculus
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dc.subject
sensory maps
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dc.subject
STDP
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dc.subject
inhibitory network
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dc.subject
axon growth cone
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dc.title
Adaptive map alignment in the superior colliculus of the barn owl: a neuromorphic implementation
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dc.type
Thesis or Dissertation
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dc.type.qualificationlevel
Doctoral
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dc.type.qualificationname
PhD Doctor of Philosophy
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