Anatomy of the Cortex: Statistics and Geometry.

By T. Mayhew. 1991

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Citations in the corpus

Highly Nonrandom Features of Synaptic Connectivity in Local Cortical Circuits (2005, result): “This view is consistent with previous suggestions [12,13,14], but hard to reconcile with cortical functionality, which must rely on speciﬁcity of connections [15,16,17,18].”
Differences in Cognitive Processes Between Gifted, Intelligent, Creative, and Average Individuals While Solving Complex Problems: An EEG Study (2000, background): “Looking for functional relations between brain regions rather than for localized power measures is useful because of the basic structure of the cortex, which is a device for the most widespread diffusion and mixing of signals (Braitenberg & Schutz, 1991).”
Measurement and analysis of online social networks (2007, background): “Researchers have shown that many real-world networks are power-law networks, including Internet topologies [16], the Web [9, 27], social networks [3], neural networks [11], and power grids [45].”
Ultra-Fast MRI of the Human Brain with Simultaneous Multi-Slice Imaging (2013, background): “It has been proposed that there are 150–200 cortical areas with distinct neuronal function, connectivity and network organization [2].”
Structure–function relationship in complex brain networks expressed by hierarchical synchronization (2007, background): “(i) Biologically, a system in the order of 105 neurons, corresponding to a cubic millimetre of cortex, is the minimal system size at which the complexity of the cortex can be represented (where the number of synapses a neuron receives is around 104) [40, 41].”
Memory Capacity of Balanced Networks (2005, methodology): “neurons, similar to the model described in Brunel (2000). As memory models, we use either a HCA or SFC.”
Tracelink: A model of consolidation and amnesia (2005, background): “Those connections are known to exist only sparsely, however (Abeles, 1991; Braitenberg & Schüz, 1991).”
Structured Connectivity in Cerebellar Inhibitory Networks (2014, background): “In particular, cortical connectivity has been proposed to result from nonspecific overlap between axons and dendrites, the so-called Peters’ rule (Braitenberg and Schüz, 1991; Peters and Feldman, 1976).”
Nonlinear brain dynamics as macroscopic manifestation of underlying many-body field dynamics (2005, background): “The otherwise near-random local connectivity is sparse, with each neuron connecting to only about 1% of neurons within the radius of its dendritic arbor [68].”