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

Broadband synergy versus oscillatory redundancy in the visual cortex

视觉皮层中的宽带协同作用与振荡冗余

Roberts, Louis; Äijälä, Juho; Burger, Florian; Uran, Cem; Jensen, Michael A; Miller, Kai J; Ince, Robin A A; Vinck, Martin; Hermes, Dora; Canales-Johnson, Andres

Distributed representations of prediction error signals across the cortical hierarchy are synergistic

预测误差信号在皮层层级结构中的分布式表征具有协同作用

Gelens, Frank; Äijälä, Juho; Roberts, Louis; Komatsu, Misako; Uran, Cem; Jensen, Michael A; Miller, Kai J; Ince, Robin A A; Garagnani, Max; Vinck, Martin; Canales-Johnson, Andres

Distinct feedforward and feedback pathways for cell-type specific attention effects

细胞类型特异性注意力效应的不同前馈和反馈通路

Spyropoulos, Georgios; Schneider, Marius; van Kempen, Jochem; Gieselmann, Marc Alwin; Thiele, Alexander; Vinck, Martin

Sequence anticipation and spike-timing-dependent plasticity emerge from a predictive learning rule

序列预期和尖峰时间依赖性可塑性源于预测性学习规则

Saponati, Matteo; Vinck, Martin

Developmental loss of ErbB4 in PV interneurons disrupts state-dependent cortical circuit dynamics

PV中间神经元中ErbB4的发育性缺失会破坏状态依赖性皮层回路动力学

Batista-Brito, Renata; Majumdar, Antara; Nuño, Alejandro; Ward, Claire; Barnes, Clayton; Nikouei, Kasra; Vinck, Martin; Cardin, Jessica A

Cell-type-specific propagation of visual flicker.

视觉闪烁的细胞类型特异性传播

Schneider Marius, Tzanou Athanasia, Uran Cem, Vinck Martin

Attentional modulation of inter-areal coherence explained by frequency shifts

注意力对区域间相干性的调节可通过频率偏移来解释

Dowdall, Jarrod Robert; Schneider, Marius; Vinck, Martin

Coherence fails to reliably capture inter-areal interactions in bidirectional neural systems with transmission delays

相干性无法可靠地捕捉具有传输延迟的双向神经系统中的区域间相互作用。

Dowdall, Jarrod Robert; Vinck, Martin

SpikeShip: A method for fast, unsupervised discovery of high-dimensional neural spiking patterns

SpikeShip:一种快速、无监督地发现高维神经脉冲模式的方法

Sotomayor-Gómez, Boris; Battaglia, Francesco P; Vinck, Martin

A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations

一种新颖的特征扰乱方法揭示了卷积神经网络学习空间关系的能力

Farahat, Amr; Effenberger, Felix; Vinck, Martin