Testing the drift-diffusion model
The drift-diffusion model (DDM) is a model of sequential sampling with diffusion signals, where the decision maker accumulates evidence until the process hits either an upper or lower stopping boundary and then stops and chooses the alternative that corresponds to that boundary. In perceptual tasks,...
| Main Authors: | , |
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| 其他作者: | |
| 格式: | Article |
| 語言: | English |
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Proceedings of the National Academy of Sciences
2021
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| 在線閱讀: | https://hdl.handle.net/1721.1/130344 |