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

Efficient coding in biophysically realistic excitatory-inhibitory spiking networks

在生物物理学上真实的兴奋-抑制性脉冲网络中进行高效编码

Koren, Veronika; Blanco Malerba, Simone; Schwalger, Tilo; Panzeri, Stefano

Building on models-a perspective for computational neuroscience

基于模型——计算神经科学的视角

Plesser, Hans Ekkehard; Davison, Andrew P; Diesmann, Markus; Fukai, Tomoki; Gemmeke, Tobias; Gleeson, Padraig; Knight, James C; Nowotny, Thomas; René, Alexandre; Rhodes, Oliver; Roque, Antonio C; Senk, Johanna; Schwalger, Tilo; Stadtmann, Tim; Tiddia, Gianmarco; van Albada, Sacha J

Efficient coding in biophysically realistic excitatory-inhibitory spiking networks

在生物物理学上真实的兴奋-抑制性脉冲网络中进行高效编码

Koren, Veronika; Malerba, Simone Blanco; Schwalger, Tilo; Panzeri, Stefano

Modeling brain network flexibility in networks of coupled oscillators: a feasibility study

利用耦合振荡器网络对大脑网络灵活性进行建模:可行性研究

Chinichian, Narges; Lindner, Michael; Yanchuk, Serhiy; Schwalger, Tilo; Schöll, Eckehard; Berner, Rico

Intra-ripple frequency accommodation in an inhibitory network model for hippocampal ripple oscillations

海马涟漪振荡抑制网络模型中的涟漪内频率适应

Schieferstein, Natalie; Schwalger, Tilo; Lindner, Benjamin; Kempter, Richard

Mesoscopic description of hippocampal replay and metastability in spiking neural networks with short-term plasticity

短期可塑性脉冲神经网络中海马重放和亚稳态的中观描述

Pietras, Bastian; Schmutz, Valentin; Schwalger, Tilo

When shared concept cells support associations: Theory of overlapping memory engrams

当共享概念单元支持关联时:重叠记忆痕迹理论

Gastaldi, Chiara; Schwalger, Tilo; De Falco, Emanuela; Quiroga, Rodrigo Quian; Gerstner, Wulfram

Mapping input noise to escape noise in integrate-and-fire neurons: a level-crossing approach

将输入噪声映射到积分-发放神经元中的逃逸噪声:一种水平穿越方法

Schwalger, Tilo

Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity

具有突触短期可塑性的脉冲神经网络的中观群体方程

Schmutz, Valentin; Gerstner, Wulfram; Schwalger, Tilo

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks

单个神经元的特性如何影响随机神经网络中的混沌动力学和信号传输

Muscinelli, Samuel P; Gerstner, Wulfram; Schwalger, Tilo