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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tokuda, M. Kiyohara, A. Taguch, T. Kudoh, S.N. |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Science and Technology, Kwansei Gakuin University, 2-1 Gakuen, Sanda, Hyougo, 669-1337, Japan (Tokuda, M.; Kiyohara, A.; Kudoh, S.N.) || National Institute of Advanced Industrial Science and Technology (AIST) (Taguch, T.) |
| Abstract | Rat hippocampal neurons were cultured on a dish with 64 micro planer electrodes. We found that the silent and reproducible period lasting for 1 sec immediately after the activity evoked in advance. In addition, the repetitive stimuli suppress the spontaneously occurring bursting activity in frequency. These results suggest that distinct internal state of the neuronal circuit was triggered by an electrical stimulation, and these dynamics of network activity may contribute to information processing. In previous study, we developed the neuro-robot system in which the neurons were connected to a robot body and interacted with external world. By utilizing the dynamics of a living neuronal network, it can be designed that, so to speak, the robot, which behaves according to the history of the sensor inputs which the neuronal network has memorized. We are verifying whether the dynamics intrinsic in a neural network can contribute to the action determination of a creature, by moving such a model system. |
| Starting Page | 118 |
| Ending Page | 122 |
| File Size | 2811817 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424450947 |
| DOI | 10.1109/MHS.2009.5352068 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-09 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neurons Robot sensing systems Biological neural networks Metalworking machines Electrodes Frequency Circuits Electrical stimulation Information processing History |
| Content Type | Text |
| Resource Type | Article |
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