NDLI: A neural network model of the inferior colliculus with modifiable lateral inhibitory synapses for human echolocation

Content Provider	Springer Nature Link
Author	Hoshi, Osamu Kuroiwa, Kazuharu
Copyright Year	2002
Abstract	We propose a neural network model of the inferior colliculus (IC) for human echolocation. Neuronal mechanisms for human echolocation were investigated by simulating the model. The model consists of the neural networks of the central nucleus (ICc) and external nucleus (ICx) of the inferior colliculus. The neurons of the ICc receive interaural sound stimuli via multiple contralateral delay lines and a single ipsilateral delay line. The neurons of the ICc send output signals to the neurons of the ICx in a convergent manner. We stimulated the ICc with pairs of a direct sound (a sonar sound) and an echo sound (the reflection from an object). Information about the distance between the model and the object is expressed by the delay time of the echo sound with respect to the direct sound. The results presented here show that neurons of the ICc responsive to interaural onset time differences contribute to the creation of an auditory distance map in the ICx. We trained the model with various pairs of direct-echo sounds and modified synaptic connection strengths of the networks according to the Hebbian rule. It is shown that self-organized long-term depression of lateral inhibitory synaptic connections plays an important role in enhancing echolocation skills.
Starting Page	231
Ending Page	240
Page Count	10
File Format	PDF
ISSN	03401200
Journal	Biological Cybernetics
Volume Number	86
Issue Number	3
e-ISSN	14320770
Language	English
Publisher	Springer-Verlag
Publisher Date	2002-03-01
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Computer Science Biotechnology

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