Complex networks: Structure and dynamics
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 …
Internet and the World Wide Web, are only a few examples of systems composed by a large …
Cortical high-density counterstream architectures
Background The cerebral cortex is divisible into many individual areas, each exhibiting
distinct connectivity profiles, architecture, and physiological characteristics. Interactions …
distinct connectivity profiles, architecture, and physiological characteristics. Interactions …
[图书][B] Fundamentals of brain network analysis
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
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
Recent advances in neuroscience have engendered interest in large-scale brain networks.
Using a consistent database of cortico-cortical connectivity, generated from hemisphere …
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 …
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 …
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 …
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 …
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 …
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 …
patterns of interconnections found in neural systems, and identifying principles with which to …