Abstract
Background The mammalian cortical system consists of diverse neurons with different spatial coverage. Previous studies suggest that neurons with only local connections and those with most widespread connections should be most and least numerous, respectively [1]. However, synaptic connection mechanisms between neurons are still unclear. Based on the previous studies [1,2], we assume that neurons with large spatial coverage may be preferentially synaptically connected. We applied the methods of complex networks to model the neural connection mechanism. The cortical network was modeled in a two-dimensional Euclidean plane, in which neurons can only connect to those in their spatial coverage. For connection mechanisms, random connection and the preferential attachments to nearest neurons and to neurons with large spatial coverage were considered.
Highlights
The mammalian cortical system consists of diverse neurons with different spatial coverage
Previous studies suggest that neurons with only local connections and those with most widespread connections should be most and least numerous, respectively [1]
Based on the previous studies [1,2], we assume that neurons with large spatial coverage may be preferentially synaptically connected
Summary
The mammalian cortical system consists of diverse neurons with different spatial coverage. Address: 1Institute of Neuroinformatics and Laboratory for Brain and Mind, Dalian University of Technology, Dalian 116024, China and 2Department of Psychology, University of Oregon, Eugene, OR 97403, USA
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