Results 61 to 70 of about 6,979,871 (382)

Identification of excitatory-inhibitory links and network topology in large-scale neuronal assemblies from multi-electrode recordings

PLoS Comput. Biol., 2018
Functional-effective connectivity and network topology are nowadays key issues for studying brain physiological functions and pathologies. Inferring neuronal connectivity from electrophysiological recordings presents open challenges and unsolved problems.
Vito Paolo Pastore, P. Massobrio, Aleksandar Godjoski, S. Martinoia   +3 more
semanticscholar   +1 more source

Network Topology Inference from Spectral Templates [PDF]

IEEE Transactions on Signal and Information Processing over Networks, 2016
We address the problem of identifying the structure of an undirected graph from the observation of signals defined on its nodes. Fundamentally, the unknown graph encodes direct relationships between signal elements, which we aim to recover from ...
Santiago Segarra, A. Marques, G. Mateos, Alejandro Ribeiro   +3 more
semanticscholar   +1 more source

Degree Variance and Emotional Strategies Catalyze Cooperation in Dynamic Signed Networks [PDF]

, 2014
We study the problem of the emergence of cooperation in dynamic signed networks where agent strategies coevolve with relational signs and network topology.
Righi, Simone, Takács, Károly
core   +2 more sources

Sufficient Conditions for Fast Switching Synchronization in Time Varying Network Topologies

, 2005
In previous work, empirical evidence indicated that a time-varying network could propagate sufficient information to allow synchronization of the sometimes coupled oscillators, despite an instantaneously disconnected topology.
Afra movich V., D. Gray Roberson, Daniel J. Stilwell, Erik M. Bollt, Glass Leon, Guevara M. R., Jost J., Netoff T. I., Sansone G.   +8 more
core   +2 more sources

Intuitive network topology

Journal of Experimental Psychology: General
Topology is the branch of mathematics that seeks to understand and describe spatial relations. A number of studies have examined the human perception of topology — in particular, whether adults and young children perceive and differentiate objects based on features like closure, boundedness, and emptiness. Topology is about more than ‘wholes and holes’,
Sami Ryan Yousif, Elizabeth M. Brannon
openaire   +2 more sources

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Passive network tomography for erroneous networks: A network coding approach

, 2010
Passive network tomography uses end-to-end observations of network communication to characterize the network, for instance to estimate the network topology and to localize random or adversarial glitches.
Chen, Minghua, Jaggi, Sidharth, Yao, Hongyi   +2 more
core   +2 more sources

Statistical mechanics of complex networks [PDF]

, 2001
Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links.
Adamic, L. A., Adamic, L. A., Adamic, L. A., Albert, R., Albert, R., Albert, R., Albert, R., Albert-László Barabási, Aldous, D., Amaral, L. A. N., Ambjorn, J., Argollo de Menezes, M., Banavar, J. R., Banavar, J. R., Banavar, J. R., Barabási, A.-L., Barabási, A.-L., Barrat, A., Barthélémy, M., Barthélémy, M., Bianconi, G., Bianconi, G., Bianconi, G., Bianconi, G., Bilke, S., Bollobás, B., Bollobás, B., Bornholdt, S., Bornholdt, S., Broder, A., Burda, Z., Burton, R. M., Caldarelli, G., Callaway, D. S., Callaway, D. S., Carlson, J. M., Carlson, J. M., Christensen, K., Chung, F., Cohen, J. E., Cohen, R., Cohen, R., Coleman, J. S., Comellas, F., Crovella, M. E., Derrida, B., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Doyle, J., Durrett, R. T., Duxbury, P. M., Elowitz, M. B., Enquist, B. J., Enquist, B. J., Erdős, P., Erdős, P., Erdős, P., Faloutsos, M., Farkas, I. J., Fell, D. A., Gardner, T. S., Gleiss, P. M., Goh, K.-I., Granovetter, M. S., Guhr, T., Guimerà, R., Hammersley, J. M., Hara, T., Hartwell, L. H., Havlin, S., Hohenberg, P. C., Hubermann, B. A., Jain, S., Jeong, H., Jeong, H., Jespersen, S., Johansen, A., Keeling, M. J., Kleinberg, J. M., Kolchin, V. F., Krapivsky, P. L., Krapivsky, P. L., Krapivsky, P. L., Kulkarni, R. V., Kullmann, L., Kuperman, M., Lago-Fernández, L. F., Lawrence, S., Lawrence, S., Leath, P. L., Liljeros, F., Lotka, A. J., Luczak, T., Lässig, M., Margulis, G. A., Medina, A., Milgram, S., Molloy, M., Molloy, M., Monasson, R., Moore, C., Moore, C., Moore, E. F., Moore, E. F., Moukarzel, C., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Pandit, S. A., Pastor-Satorras, R., Rapoport, A., Redner, S., Réka Albert, Savageau, M. A., Scala, A., Schilling, C. H., Simon, H. A., Slanina, F., Slanina, F., Solomonoff, R., Solé, R. V., Solé, R. V., Strogatz, S. H., Tadić, B., Vogelstein, B., Watts, D. J., Weigt, M., West, G. B., Wigner, E. P., Wigner, E. P., Wigner, E. P., Willinger, W., Yook, S.   +149 more
core   +3 more sources

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

Empirical analysis of the ship-transport network of China

, 2007
Structural properties of the ship-transport network of China (STNC) are studied in the light of recent investigations of complex networks. STNC is composed of a set of routes and ports located along the sea or river.
Feng Liu, Junhui Hu, Mendes J. F. F., Xinping Xu   +3 more
core   +1 more source