Population coding and self-organized ring attractors in recurrent neural networks for continuous variable integration [0.03%]
递归神经网络中的人口编码与自组织环状吸引子连续变量整合中的应用
Roman Kononov,Vasilii Tiselko,Oleg Maslennikov et al.
Roman Kononov et al.
Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how such structures can self-organize, we train...
A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology [0.03%]
一种用于Python中高阶交互分析的Q分析包及其在生理网络中的应用
Nikita Smirnov,Semen Kurkin,Alexander E Hramov
Nikita Smirnov
Introduction: Real-world networks possess complex, higher-order structures that are not captured by traditional pairwise analysis methods. Q-analysis provides a powerful mathematical framework based on simplicial complexe...
Nigel Crook,Alexander D Rast,Eleni Elia et al.
Nigel Crook et al.
Introduction: In this work, we introduce a novel approach to one of the historically fundamental questions in neural networks: how to encode information? More particularly, we look at temporal coding in spiking networks, ...
Magnitude-constrained optimal chaotic desynchronization of neural populations [0.03%]
基于混沌的神经元群体去同步化问题的研究
Michael Zimet,Faranak Rajabi,Jeff Moehlis
Michael Zimet
In this paper, we calculate magnitude-constrained optimal stimuli for desynchronizing a population of neurons by maximizing the Lyapunov exponent for the phase difference between pairs of neurons while simultaneously minimizing the energy w...
Self-organized integration vs. self-organized disintegration: an unfinished study [0.03%]
自组织整合与自组织离散化：一项未完成的研究
Juval Portugali
Juval Portugali
This paper refers to an issue Haken and myself were discussing, started to work on, prepared a preliminary draft, but never managed to complete and transform it into a full-scale study and publication. Here, in memoriam of Hermann Haken, my...
Paired reentries maintain ventricular tachycardia: a topological analysis of arrhythmic mechanisms using the index theorem [0.03%]
索引定理在心律失常机制拓扑分析中的应用：对室性心动过速配对再入的理论研究
Robin Van Den Abeele,Sebastiaan Lootens,Bjorn Verstraeten et al.
Robin Van Den Abeele et al.
Introduction: In previous research on reentrant atrial tachycardia (AT), the index theorem has proven instrumental in uncovering consistent paired counter-rotating anatomical reentry (either complete or near-complete), dr...
Computational analysis of two novel deep brain stimulation pulsing patterns on a thalamocortical network model of Parkinson's disease [0.03%]
计算分析两种新的深部脑刺激脉冲模式在帕金森病的丘脑皮层网络模型中的作用
AmirAli Farokhniaee,Siavash Amiri
AmirAli Farokhniaee
Deep brain stimulation (DBS) at high frequencies has revolutionized efforts to alleviate Parkinson's disease symptoms for approximately 30 years. Since then, there has been vast investigation into the mechanisms of action of DBS. Recently, ...
The nature of quantum parallel processing and its implications for coding in brain neural networks: a novel computational mechanism [0.03%]
量子并行处理的性质及其对脑神经网络编码的影响：一种新的计算机制
Andrew S Johnson,William Winlow
Andrew S Johnson
Conventionally it is assumed that the nerve impulse is an electrical process based upon the observation that electrical stimuli produce an action potential as defined by Hodgkin Huxley (1952) (HH). Consequently, investigations into the comp...
David Papo,Javier M Buldú
David Papo
Representing the brain as a complex network typically involves approximations of both biological detail and network structure. Here, we discuss the sort of biological detail that may improve network models of brain activity and, conversely,...
Early parasympathetic dysfunction in Parkinson's disease: insights from information-theoretic analysis [0.03%]
帕金森病早期副交感神经功能障碍：信息论分析的见解
Jana Cernanova Krohova,Jana Oleksakova,Zuzana Turianikova et al.
Jana Cernanova Krohova et al.
Introduction: Parasympathetic nervous system (PNS) dysfunction in Parkinson's disease (PD) has been frequently evaluated using heart rate variability (HRV) analysis in the time and frequency domains. Findings across studi...