日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

L-Dopa-induced changes in aperiodic bursts dynamics relate to individual clinical improvement in Parkinson's disease

左旋多巴诱导的非周期性爆发动力学变化与帕金森病患者的个体临床改善相关

Agouram, Hasnae; Neri, Matteo; Angiolelli, Marianna; Depannemaecker, Damien; Bahuguna, Jyotika; Schwey, Antoine; Régis, Jean; Carron, Romain; Malfait, Nicole; Eusebio, Alexandre; Daucé, Emmanuel; Sorrentino, Pierpaolo

Computational modeling of the temporal influences between cues, craving and use in addiction: a dynamical system analysis based on ecological momentary assessment data

基于生态瞬时评估数据的动态系统分析:成瘾中线索、渴求和使用之间时间影响的计算建模

Gauld, Christophe; Depannemaecker, Damien; Auriacombe, Marc; Serre, Fuschia

The Virtual Parkinsonian patient

虚拟帕金森病患者

Angiolelli, Marianna; Depannemaecker, Damien; Agouram, Hasnae; Régis, Jean; Carron, Romain; Woodman, Marmaduke; Chiodo, Letizia; Triebkorn, Paul; Ziaeemehr, Abolfazl; Hashemi, Meysam; Eusebio, Alexandre; Jirsa, Viktor; Sorrentino, Pierpaolo

Modeling impairment of ionic regulation with extended Adaptive Exponential integrate-and-fire models

利用扩展自适应指数积分-触发模型对离子调节障碍进行建模

Depannemaecker, Damien; Tesler, Federico; Desroches, Mathieu; Jirsa, Viktor; Destexhe, Alain

Virtual brain twins: from basic neuroscience to clinical use

虚拟脑孪生:从基础神经科学到临床应用

Wang, Huifang E; Triebkorn, Paul; Breyton, Martin; Dollomaja, Borana; Lemarechal, Jean-Didier; Petkoski, Spase; Sorrentino, Pierpaolo; Depannemaecker, Damien; Hashemi, Meysam; Jirsa, Viktor K

Mean-field based framework for forward modeling of LFP and MEG signals

基于平均场的LFP和MEG信号正向建模框架

Tesler, Federico; Tort-Colet, Núria; Depannemaecker, Damien; Carlu, Mallory; Destexhe, Alain

A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics

对慢波睡眠和高反应性觉醒动态的全面神经模拟

Goldman, Jennifer S; Kusch, Lionel; Aquilue, David; Yalçınkaya, Bahar Hazal; Depannemaecker, Damien; Ancourt, Kevin; Nghiem, Trang-Anh E; Jirsa, Viktor; Destexhe, Alain

A mean-field approach to the dynamics of networks of complex neurons, from nonlinear Integrate-and-Fire to Hodgkin-Huxley models

一种用于研究复杂神经元网络动力学的平均场方法,从非线性积分-发放模型到霍奇金-赫胥黎模型

Carlu, M; Chehab, O; Dalla Porta, L; Depannemaecker, D; Héricé, C; Jedynak, M; Köksal Ersöz, E; Muratore, P; Souihel, S; Capone, C; Zerlaut, Y; Destexhe, A; di Volo, M