Complex networks: Structure and dynamics

S Boccaletti, V Latora, Y Moreno, M Chavez… - Physics reports, 2006 - Elsevier
Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Cortical high-density counterstream architectures

NT Markov, M Ercsey-Ravasz, DC Van Essen… - Science, 2013 - science.org
Background The cerebral cortex is divisible into many individual areas, each exhibiting
distinct connectivity profiles, architecture, and physiological characteristics. Interactions …

[图书][B] Fundamentals of brain network analysis

A Fornito, A Zalesky, E Bullmore - 2016 - books.google.com
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

[HTML][HTML] A predictive network model of cerebral cortical connectivity based on a distance rule

M Ercsey-Ravasz, NT Markov, C Lamy, DC Van Essen… - Neuron, 2013 - cell.com
Recent advances in neuroscience have engendered interest in large-scale brain networks.
Using a consistent database of cortico-cortical connectivity, generated from hemisphere …

[HTML][HTML] What Is the Optimal Value of the g-Ratio for Myelinated Fibers in the Rat CNS? A Theoretical Approach

T Chomiak, B Hu - PloS one, 2009 - journals.plos.org
Background The biological process underlying axonal myelination is complex and often
prone to injury and disease. The ratio of the inner axonal diameter to the total outer diameter …

[HTML][HTML] Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems

M Kaiser, CC Hilgetag - PLoS computational biology, 2006 - journals.plos.org
It has been suggested that neural systems across several scales of organization show
optimal component placement, in which any spatial rearrangement of the components would …

[图书][B] What Darwin got wrong

J Fodor, M Piattelli-Palmarini - 2010 - books.google.com
Este libro se atreve a cuestionar la selección natural-no en nombre de la religión sino en
nombre de la ciencia. La mayoría de los científicos están tan aterrorizados por los ataques …

Maps in the brain: what can we learn from them?

DB Chklovskii, AA Koulakov - Annu. Rev. Neurosci., 2004 - annualreviews.org
▪ Abstract In mammalian visual cortex, neurons are organized according to their functional
properties into multiple maps such as retinotopic, ocular dominance, orientation preference …

[HTML][HTML] Synaptic connectivity and neuronal morphology: two sides of the same coin

DB Chklovskii - Neuron, 2004 - cell.com
Neurons often possess elaborate axonal and dendritic arbors. Why do these arbors exist
and what determines their form and dimensions? To answer these questions, I consider the …

Generative models for network neuroscience: prospects and promise

RF Betzel, DS Bassett - Journal of The Royal Society …, 2017 - royalsocietypublishing.org
Network neuroscience is the emerging discipline concerned with investigating the complex
patterns of interconnections found in neural systems, and identifying principles with which to …