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When do microcircuits produce beyond-pairwise correlations?微电路何时产生超成对相关？
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Long-term plasticity determines the postsynaptic response to correlated afferents with multivesicular short-term synaptic depression.长期可塑性决定了对具有多泡体短期突触抑制的相关传入的突触后反应。
Front Comput Neurosci. 2014 Jan 30;8:2. doi: 10.3389/fncom.2014.00002. eCollection 2014.
3
Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory.前额叶皮层中的凸起吸引子动力学解释了空间工作记忆行为的精确性。
Nat Neurosci. 2014 Mar;17(3):431-9. doi: 10.1038/nn.3645. Epub 2014 Feb 2.
4
Phase synchrony facilitates binding and segmentation of natural images in a coupled neural oscillator network.相位同步促进了耦合神经振荡器网络中自然图像的绑定和分割。
Front Comput Neurosci. 2014 Jan 27;7:195. doi: 10.3389/fncom.2013.00195. eCollection 2013.
5
The correlation structure of local neuronal networks intrinsically results from recurrent dynamics.局部神经网络的相关结构本质上源于循环动力学。
PLoS Comput Biol. 2014 Jan;10(1):e1003428. doi: 10.1371/journal.pcbi.1003428. Epub 2014 Jan 16.
6
Patterns of interval correlations in neural oscillators with adaptation.具有适应性的神经振荡器的间隔相关模式。
Front Comput Neurosci. 2013 Nov 29;7:164. doi: 10.3389/fncom.2013.00164. eCollection 2013.
7
Propagating synchrony in feed-forward networks.前馈网络中的同步传播。
Front Comput Neurosci. 2013 Nov 15;7:153. doi: 10.3389/fncom.2013.00153. eCollection 2013.
8
Statistical evaluation of synchronous spike patterns extracted by frequent item set mining.基于频繁项集挖掘的同步尖峰模式的统计评估。
Front Comput Neurosci. 2013 Oct 23;7:132. doi: 10.3389/fncom.2013.00132. eCollection 2013.
9
Correlations in background activity control persistent state stability and allow execution of working memory tasks.背景活动控制的相关性维持着持久状态的稳定性，并允许执行工作记忆任务。
Front Comput Neurosci. 2013 Oct 21;7:139. doi: 10.3389/fncom.2013.00139. eCollection 2013.
10
Single-unit activities during epileptic discharges in the human hippocampal formation.人类海马结构癫痫放电过程中的单个神经元活动。
Front Comput Neurosci. 2013 Oct 18;7:140. doi: 10.3389/fncom.2013.00140. eCollection 2013.

Correlated neuronal activity and its relationship to coding, dynamics and network architecture.

作者信息

Rosenbaum Robert, Tchumatchenko Tatjana, Moreno-Bote Rubén

机构信息

Department of Applied and Computational Mathematics and Statistics, University of Notre Dame Notre Dame, IN, USA ; Center for the Neural Basis of Cognition Pittsburgh, PA, USA.

Department Theory of Neural Dynamics, Max Planck Institute for Brain Research Frankfurt am Main, Germany.

出版信息

Front Comput Neurosci. 2014 Aug 27;8:102. doi: 10.3389/fncom.2014.00102. eCollection 2014.

DOI:10.3389/fncom.2014.00102
PMID:25221504
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4145255/
Abstract
摘要