Cited by 1,178Functional Brain Connectivity StudiesNeural dynamics and brain functionAdvanced Neuroimaging Techniques and Applications

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Cortex: Statistics and Geometry of Neuronal Connectivity

Braitenberg, Valentino, Schüz, Almut·1998·Springer eBooks

DOI 10.1007/978-3-662-03733-1

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“The maps of these zones have already been identified [12].”
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Background
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Background
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Çürüklü, B., & Lansner, A. (2001) · Lecture notes in computer science · doi:10.1007/3-540-44668-0_152 · Cited by 1
“This resulted in a very spread connection probability of 15-80% for neuron pairs, and led to a connectivity of 50-60% between neurons inside a minicolumn [ 8 ].”
BackgroundInfluential
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Fares, T. (2010) · Digital Repository Service (Northeastern University) · doi:10.17760/d20000285 · Cited by 1
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“On the basis of several neuroanatomical studies (see for instance [1]) these quantities have been estimated by counting synapses, and their numerical values is given in table 1.”
Background
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Maass, W. (2002) · Lecture notes in computer science · doi:10.1007/3-540-46084-5_42 · Cited by 1
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Background
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Glassman, R. B. (2007) · Zygon® · doi:10.1111/j.1467-9744.2007.00858.x · Cited by 1
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“Liquid-currents from presented inputs to cliques are the dynamic realizations by means of the neural ensembles.”
BackgroundMethod
A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons
Maimon, M., & Manevitz, L. M. (2007) · Journal of Combinatorial Optimization · doi:10.1007/s10878-007-9103-3 · Cited by 1
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Magistretti, P. J. (2006) · Cited by 1
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“…to their typical waveform [47] and this information could be used for the subsequent reconstruction of their connectivity according to an extension of “Peter’s rule” [46][8]: the probability of two neurons being connected is proportional to the overlap of their axonal and dendritic ﬁelds [50].”
Method
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“…between-and within-area connections, with the probability of the existence of a synaptic link between two cells falling off with their distance (29, 30) (see Appendix (Detailed Model Implementation) for specifications); 3) local lateral inhibition (Fig.2) and area-specific global regulation…”
Background
Statistical laws of protein motion in neuronal dendritic trees
Sartori, F. (2021) · doi:10.21248/gups.64591
Neuronal network models
Rolls, E. T. (2023) · doi:10.1093/oso/9780198887911.005.0002 · Cited by 1
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“Yet, while these can accurately simulate brain-wide phenomena (7) such as epileptic seizure genesis and propagation (8, 9), they are not designed to generate cognitive processes, such as learning.”
Background
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Müller, E. J., Munn, B., Baracchini, G., Fulcher, B., Medel, V., Redinbaugh, M. J., Saalmann, Y. B., Brunton, B. W., Brunton, S. L., & Shine, J. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.02.601788 · Cited by 1
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Authors: Braitenberg, V., & Schüz, A.
Affiliations: Max Planck Society (DE)
Venue: Springer eBooks
Publisher: Springer Berlin Heidelberg
Published: 1998
DOI: 10.1007/978-3-662-03733-1
OpenAlex: W1603661052
Cited by: 1,178
References: 0
Citations by year: 2026: 14 · 2025: 30 · 2024: 38 · 2023: 62 · 2022: 38 · 2021: 54 · 2020: 34 · 2019: 57 · 2018: 49 · 2017: 44 · 2016: 42 · 2015: 57 · 2014: 53 · 2013: 51 · 2012: 64
FWCI: 4.64
Type: book
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Springer eBooks (publishedVersion)
MPG.PuRe (Max Planck Society) (submittedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Keywords: cerebral cortex, neuronal connectivity, cortical networks, mouse cortex, cortical geometry, corticocortical connections

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