How Structure Determines Correlations in Neuronal Networks
نویسندگان
چکیده
منابع مشابه
How Structure Determines Correlations in Neuronal Networks
Networks are becoming a ubiquitous metaphor for the understanding of complex biological systems, spanning the range between molecular signalling pathways, neural networks in the brain, and interacting species in a food web. In many models, we face an intricate interplay between the topology of the network and the dynamics of the system, which is generally very hard to disentangle. A dynamical f...
متن کاملHow strong are correlations in strongly recurrent neuronal networks?
Cross-correlations in the activity in neural networks are commonly used to characterize their dynamical states and their anatomical and functional organizations. Yet, how these latter network features affect the spatiotemporal structure of the correlations in recurrent networks is not fully understood. Here, we develop a general theory for the emergence of correlated neuronal activity from the ...
متن کاملFunction determines structure in complex neural networks.
In the course of our daily lives, we rely on our ability to quickly recognize visual objects despite variations in the viewing angle or lighting conditions (1). Most of the time, this process occurs so naturally that it is easy to underestimate the computational challenge it poses. In fact, as much as one third of our cortex is involved in visual object recognition (2). Thus far, we have not be...
متن کاملDecoding neuronal spike trains: how important are correlations?
It has been known for >30 years that neuronal spike trains exhibit correlations, that is, the occurrence of a spike at one time is not independent of the occurrence of spikes at other times, both within spike trains from single neurons and across spike trains from multiple neurons. The presence of these correlations has led to the proposal that they might form a key element of the neural code. ...
متن کاملBifurcation in neuronal networks with hub structure
∗ Corresponding author. Tel.: +81 87 864 2226; fax: +81 87 864 2262. E-mail addresses: [email protected] (H. Kitajima), [email protected] (J. Kurths). 0378-4371/$ – see front matter© 2009 Elsevier B.V. All rights reserved. doi:10.1016/j.physa.2009.07.001 Please cite this article in press as: H. Kitajima, J. Kurths, Bifurcation in neuronal networks with hub structure, Physica...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2011
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002059