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A Neuronal Network Model for Human Echolocation
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- HOSHINO Osamu
- Department of Human Welfare Engineering, Oita University
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- TAHARA Shunji
- Department of Human Welfare Engineering, Oita University
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- KUROIWA Kazuharu
- Department of Human Welfare Engineering, Oita University
Bibliographic Information
- Other Title
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- 人間のエコーロケーション機能とニューラルネットワークモデル
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Description
We propose a neural network model of the inferior colliculus of the midbrain for echolocation in humans. The neurons of the network act as cross-correlators that receive contralateral inputs with time delays and ipsilateral inputs with no delays. We apply pairs of direct and echo sounds as artificial sonar sounds and their reflections from target objects, respectively. We train the network and modify the synaptic connection strengths according to the Hebbian rule. We demonstrate that a latency axis of the inferior colliculus, ranging from a few to tens of msec, is utilized for echolocation in humans. We also demonstrate that performance on echolocation is enhanced by self-organized synaptic depression in inhibitory synapses through the training processes.
Journal
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- Technical report of IEICE. EA
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Technical report of IEICE. EA 99 (434), 23-30, 1999-11-18
The Institute of Electronics, Information and Communication Engineers
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Details 詳細情報について
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- CRID
- 1571135652406797440
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- NII Article ID
- 110003285033
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- NII Book ID
- AN10164817
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- Text Lang
- ja
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- Data Source
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- CiNii Articles