Node connection strength in Neurotree.
Each node in Neurotree can be characterized by its mean distance from every other node. Below is a histogram of mean distances for every node in the tree. The final bin includes nodes that are not connected to the main tree. Note also that only individuals whose primary affiliation is this tree are included. Nodes cross-listed from other academic trees are included on their primary tree.

Mean inter-node distance

57595-
46076-
34557-
23038-
11519-

7 8 9 10 11 12 13 14 15 16 17 18 19 20+
Mean distance
 Number of nodes 



20 most tightly coupled nodes.
Below are the Neurotree nodes with shortest mean distance. Note the strong bias toward systems and, in particular, the visual system. This suggests either that visual neuroscientists are highly promiscuous or that the population of the tree is biased by having been started in a vision lab. This question will only be answered with more data!

Rank Mean dist Name Institution Area Date
1 6.62 Nigel Atkinson (Info) University of Texas at Austin 2008-04-17
2 6.87 Murim Choi (Info) Seoul National University Developmental Biology, Craniofacial, Neurobiology, Mouse, Zebrafish 2015-09-28
3 8.02 John A. Klingensmith (Info) Duke University Developmental Biology, Craniofacial, Neurobiology, Mouse, Zebrafish 2014-10-26
4 9.05 Peter Hegemann (Info) Humboldt-Universität zu Berlin microbial opsins 2011-06-02
5 9.06 Andrew M. Ravanelli (Info) University of Colorado Anschutz Medical Campus, Denver Developmental Biology, Cilia, Neurobiology, Oligodendrocyte, Myelin, Zebrafish 2014-10-26
6 9.26 Elizabeth A. Carroll (Info) Duke University Developmental Biology, Craniofacial, Neurobiology, Mouse, Zebrafish 2015-09-28
7 9.61 A. Nazli Basak (Info) Bogazici University 2016-02-16
8 10.45 Terrence J. Sejnowski (Info) University of California, San Diego Computation & Theory 2005-01-15
9 10.49 Stephen W. Kuffler (Info) Harvard Medical School Visual system 2005-01-15
10 10.61 Eric R. Kandel (Info) Columbia University Learning and Memory 2005-01-26
11 10.64 Sir John Carew Eccles (Info) Australian National University Synapses 2005-01-16
12 10.66 Torsten Wiesel (Info) Rockefeller University Visual system 2005-01-15
13 10.94 Otto D. Creutzfeldt (Info) Kraepelin Institute (Munich) visual system 2005-01-16
14 10.95 Michael M. Merzenich (Info) University of California, San Francisco Auditory system, plasticity 2005-01-29
15 10.96 Peter H. Schiller (Info) Massachusetts Institute of Technology Visual system 2005-01-15
16 10.98 Roger A. Nicoll (Info) University of California, San Francisco Neurobiology 2005-08-03
17 10.98 David Hubel (Info) Harvard University Vision 2005-01-16
18 10.99 Michael P. Stryker (Info) University of California, San Francisco Development, Visual system 2005-01-20
19 11 Mark Konishi (Info) California Institute of Technology Auditory system 2005-01-15
20 11.08 David C. Van Essen (Info) California Institute of Technology Visual system 2005-01-15


Distribution of individual connectivity.
Another way to look at the Neurotree graph is to plot a histogram of researchers (nodes) based according to the number of immediate connections (edges) they have to other researchers. The final bin includes nodes with 16 or more connections. The actual distribution has a very long tail, with a maximum of 199 connections. Thanks to Adam Snyder for suggesting this analysis!

Edge vs node distribution

81352-
65082-
48811-
32541-
16270-

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16+
Number of connections
 Node count