A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials
分享嘉宾: Amin Ghaderi Kangavari
单位: Copenhagen University Hospital Amager and Hvidovre
报告简介
Despite advances in techniques for exploring reciprocity in brain-behavior relations, few studies focus on building neurocognitive models that describe both human EEG and behavioral modalities at the single-trial level. Here, we introduce a new integrative joint modeling framework for the simultaneous description of single-trial EEG measures and cognitive modeling parameters of decision-making. As specific examples, we formalized how single-trial N200 latencies and centroparietal positivities (CPPs) are predicted by changing single-trial parameters of various drift-diffusion models (DDMs).
传统的DDM模型难以考虑试次内的认知变化,Amin Ghaderi等人提出了一个新框架来同时描述EEG测量和决策的认知建模参数。传统DDM假设决策偏好是固定的,但漂移率很容易受到刺激和噪音的影响,在不同的试次中是变化的。该新框架可以更准确地反映决策偏好在不同条件下的变化。
报告时间
北京时间 [GMT+8] 2023年7月14日 (周五) 20:00~21:30
会议信息: ZOOM 会议号:827 9274 9402
报告语言: 英文
主持人: 潘晚坷
参考文献
Ghaderi-Kangavari, A., Rad, J. A., & Nunez, M. D. (2023). A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials. Computational Brain & Behavior. https://doi.org/10.1007/s42113-023-00167-4
其他
- 录屏
- PPT