منابع مشابه
Spatiotemporal Structure in Large Neuronal Networks Detected from Cross-Correlation
The analysis of neuronal information involves the detection of spatiotemporal relations between neuronal discharges. We propose a method that is based on the positions (phase offsets) of the central peaks obtained from pairwise cross-correlation histograms. Data complexity is reduced to a one-dimensional representation by using redundancies in the measured phase offsets such that each unit is a...
متن کاملDeriving functional structure of neuronal networks from spike train data
Submitted for the MAR09 Meeting of The American Physical Society Deriving functional structure of neuronal networks from spike train data1 SARAH FELDT, VAUGHN HETRICK, JOSHUA BERKE, MICHAL ZOCHOWSKI, University of Michigan — We present a novel algorithm for the detection of functional clusters in neural data. In contrast to many clustering techniques which convert functional interactions to top...
متن کاملHow 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 کاملLearning and structure of neuronal networks
We study the effect of learning dynamics on network topology. Firstly, a network of discrete dynamical systems is considered for this purpose and the coupling strengths are made to evolve according to a temporal learning rule that is based on the paradigm of spike-time-dependent plasticity (STDP). This incorporates necessary competition between different edges. The final network we obtain is ro...
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: Journal of Computers
سال: 2018
ISSN: 1796-203X
DOI: 10.17706/jcp.13.8.988-999