On the nature and use of models in network neuroscience

DS Bassett, P Zurn, JI Gold - Nature Reviews Neuroscience, 2018 - nature.com
Network theory provides an intuitively appealing framework for studying relationships
among interconnected brain mechanisms and their relevance to behaviour. As the space of …

Network science of biological systems at different scales: A review

M Gosak, R Markovič, J Dolenšek, MS Rupnik… - Physics of life …, 2018 - Elsevier
Network science is today established as a backbone for description of structure and function
of various physical, chemical, biological, technological, and social systems. Here we review …

A nanoelectrode array for obtaining intracellular recordings from thousands of connected neurons

J Abbott, T Ye, K Krenek, RS Gertner, S Ban… - Nature biomedical …, 2020 - nature.com
Current electrophysiological or optical techniques cannot reliably perform simultaneous
intracellular recordings from more than a few tens of neurons. Here we report a …

[图书][B] Transfer entropy

T Bossomaier, L Barnett, M Harré, JT Lizier… - 2016 - Springer
Transfer Entropy Page 1 Chapter 4 Transfer Entropy In this chapter we get to the essential
mathematics of the book—a detailed discussion of transfer entropy. To begin with we look at …

Flexible information routing by transient synchrony

A Palmigiano, T Geisel, F Wolf, D Battaglia - Nature neuroscience, 2017 - nature.com
Perception, cognition and behavior rely on flexible communication between microcircuits in
distinct cortical regions. The mechanisms underlying rapid information rerouting between …

JIDT: An information-theoretic toolkit for studying the dynamics of complex systems

JT Lizier - Frontiers in Robotics and AI, 2014 - frontiersin.org
Complex systems are increasingly being viewed as distributed information processing
systems, particularly in the domains of computational neuroscience, bioinformatics, and …

Data based identification and prediction of nonlinear and complex dynamical systems

WX Wang, YC Lai, C Grebogi - Physics Reports, 2016 - Elsevier
The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

Noise focusing and the emergence of coherent activity in neuronal cultures

JG Orlandi, J Soriano, E Alvarez-Lacalle, S Teller… - Nature Physics, 2013 - nature.com
At early stages of development, neuronal cultures in vitro spontaneously reach a coherent
state of collective firing in a pattern of nearly periodic global bursts. Although understanding …

Estimation of directed effective connectivity from fMRI functional connectivity hints at asymmetries of cortical connectome

M Gilson, R Moreno-Bote… - PLoS computational …, 2016 - journals.plos.org
The brain exhibits complex spatio-temporal patterns of activity. This phenomenon is
governed by an interplay between the internal neural dynamics of cortical areas and their …

Autonomous inference of complex network dynamics from incomplete and noisy data

TT Gao, G Yan - Nature Computational Science, 2022 - nature.com
The availability of empirical data that capture the structure and behaviour of complex
networked systems has been greatly increased in recent years; however, a versatile …