| Presentation | 2008-11-07 Effect of Neural Networks and Learning Data to Neuronal Activities Masaaki TAKAHASHI, Kiyohisa NATSUME, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to simulate neuronal electrical activities, we must estimate the dynamics of channel conductances from physiological experimental data. However, this approach requires the formulation of differential equations that express the time course of channel conductance. On the other hand, if the dynamics are automatically estimated neuronal activities can be easily simulated. By using a neural network (NN) which can learn and reproduce the dynamics, it is possible to estimate the dynamics of channel conductances without formulating the differential equations. We estimated the dynamics of the Na^+ and K^+ conductances of a squid giant axon using two different fully connected RNNs and were able to reproduce various neuronal activities of the axon. The reproduced activities were an action potential, a threshold, a refractory phenomenon, a rebound action potential, and periodic action potentials with a constant stimulation. Therefore, An RNN can be a useful tool to estimate the dynamics of the channel conductance of a neuron. There are several such NNs, for example, time-delayed NN, elman type NN, and fully-connected type NN. You can obtain various learning data for the NNs. The purpose is to investigate influences on neuronal activities by NNs and learning data. It was indicated that the fully-connected type NN and learning data in which voltage is changed smoothly are effective for reproducing the neuronal activities. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural network / Learning data / Dynamics of channel conductance |
| Paper # | NC2008-59 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2008/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Effect of Neural Networks and Learning Data to Neuronal Activities |
| Sub Title (in English) | |
| Keyword(1) | Neural network |
| Keyword(2) | Learning data |
| Keyword(3) | Dynamics of channel conductance |
| 1st Author's Name | Masaaki TAKAHASHI |
| 1st Author's Affiliation | Kyushu Institute of Technology() |
| 2nd Author's Name | Kiyohisa NATSUME |
| 2nd Author's Affiliation | Kyushu Institute of Technology |
| Date | 2008-11-07 |
| Paper # | NC2008-59 |
| Volume (vol) | vol.108 |
| Number (no) | 281 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |