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Cortex: Statistics and Geometry of Neuronal Connectivity
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“This is because the high levels of recurrent connectivity in the source area (Braitenberg and Schüz 1998; Markov et al. 2011) can lead to labeled axon terminals in the vicinity of the retrogradely labeled cells that can be mistaken for long-distance anterograde labeling from the injected target area.”
From A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2014) · cites this paper as Braitenberg and Schüz 1998
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Ananthanarayanan, R., Esser, S. K., Simon, H. D., & Modha, D. S. (2009) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1145/1654059.1654124 · Cited by 262
Evaluation and statistical inference for human connectomes
Pestilli, F., Yeatman, J. D., Rokem, A., Kay, K. N., & Wandell, B. A. (2014) · Nature Methods · doi:10.1038/nmeth.3098 · Cited by 259
Collective dynamics in human and monkey sensorimotor cortex: predicting single neuron spikes
Truccolo, W., Hochberg, L. R., & Donoghue, J. P. (2009) · Nature Neuroscience · doi:10.1038/nn.2455 · Cited by 248
Decoding the activity of neuronal populations in macaque primary visual cortex
Graf, A. B. A., Kohn, A., Jazayeri, M., & Movshon, J. A. (2011) · Nature Neuroscience · doi:10.1038/nn.2733 · Cited by 254
Axons and synaptic boutons are highly dynamic in adult visual cortex
Stettler, D. D., Yamahachi, H., Li, W., Denk, W., & Gilbert, C. D. (2006) · Neuron · doi:10.1016/j.neuron.2006.02.018 · Cited by 256
“axons from single time point in vivo imaging sessions as well as postmortem in slices and found that our method produced interbouton distance distributions that were highly consistent across the two data sets (Figure 2) and that were similar to previously published findings (Amir et al., 1993; Anderson et al., 2003; B…”
BackgroundResultGeometric and functional organization of cortical circuits
Shepherd, G. M., Stepanyants, A., Bureau, I., Chklovskii, D. B., & Svoboda, K. (2005) · Nature Neuroscience · doi:10.1038/nn1447 · Cited by 259
“The prevailing view holds that for excitatory neurons, this overlap directly defines synaptic circuits: where axons and dendrites are sufficiently close, synaptic connections occu”
BackgroundBédard, C., Kröger, H., Alain Destexhe, A., & Alain Destexhe, A. (2004) · Cited by 249
Diode probes for spatiotemporal optical control of multiple neurons in freely moving animals
Stark, E., Koós, T. Z., & Buzsáki, G. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00153.2012 · Cited by 252
“Assuming neuronal density of 20,000–100,000 cells/mm3 (Braitenberg and Schüz 1998; West et al. 1991), the illuminated volume contained an estimated number of 20–100 cells, many of which can be monitored by a multisite shank of a silicon probe (Buzsáki 2004).”
BackgroundEstimation of multiscale neurophysiologic parameters by electroencephalographic means
Robinson, P. A., RENNIE, C. J., ROWE, D. L., & O’Connor, S. C. (2004) · Human Brain Mapping · doi:10.1002/hbm.20032 · Cited by 244
Connectomic comparison of mouse and human cortex
Loomba, S., Straehle, J., Gangadharan, V., Heike, N., Khalifa, A., Motta, A., Ju, N., Sievers, M., Gempt, J., Meyer, H. S., et al. (2022) · Science · doi:10.1126/science.abo0924 · Cited by 242
Alain Destexhe, A. (2009) · Journal of Computational Neuroscience · doi:10.1007/s10827-009-0164-4 · Cited by 231
“Synaptic conductance values:ge = 30 nS,gi = 30 nS Small-size networks of TC and RE cells were considered by considering more diffuse and random connectivity between the two TC and RE layers, and weaker synaptic weights (see scheme in Fig.”
BackgroundNeuromorphic Silicon Neurons and Large-Scale Neural Networks: Challenges and Opportunities
Poon, C., & Zhou, K. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00108 · Cited by 237
“The density of neurons under cortical surface in various mammalian species is ∼ 100,000/mm 2 (Braitenberg and Schüz, 1998), which translates to a span of ∼ 10 μm 2 per neuron.”
InfluentialSynaptic Connectivity and Neuronal Morphology
Chklovskii, D. B. (2004) · Neuron · doi:10.1016/s0896-6273(04)00498-2 · Cited by 263
Sparse recurrent excitatory connectivity in the microcircuit of the adult mouse and human cortex
Seeman, S. C., Campagnola, L., Davoudian, P. A., Hoggarth, A., Hage, T. A., Bosma-Moody, A., Baker, C. A., Lee, J. H., Mihalas, S., Teeter, C., et al. (2018) · eLife · doi:10.7554/elife.37349 · Cited by 183
Kassem, M. S., Lagopoulos, J., Stait‐Gardner, T., Price, W. S., Chohan, T. W., Arnold, J. C., Hatton, S. N., & Bennett, M. R. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8365-7 · Cited by 224
Evaluating Information Transfer Between Auditory Cortical Neurons
Gourévitch, B., & Eggermont, J. J. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01106.2006 · Cited by 210
“…2000), and 24,000–80,000 for human cortex (Abeles 1991)], it is much smaller than the total number of neurons in the brain [1.6 107 for mouse (Braitenberg and Schüz 1998), 1010 for humans (Abeles 1991)], even compared with the number of neurons that would be contained in the volume of the…”
BackgroundInfluentialSpatiotemporal dynamics of neocortical excitation and inhibition during human sleep
Peyrache, A., Dehghani, N., Eskandar, E. N., Madsen, J. R., Anderson, W. S., Donoghue, J., Hochberg, L. R., Halgren, E., Cash, S. S., & Alain Destexhe, A. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1109895109 · Cited by 220
Cortical Synaptic Integration In Vivo Is Disrupted by Amyloid-β Plaques
Stern, E. A., Bacskai, B. J., Hickey, G. A., Attenello, F. J., Lombardo, J. A., & Hyman, B. T. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.0462-04.2004 · Cited by 210
“Each pyramidal neuron in mouse neocortex receives 10,000 –15,000 excitatory inputs (Braitenberg and Schüz, 1998).”
BackgroundMacroscopic Models of Local Field Potentials and the Apparent 1/f Noise in Brain Activity
Bédard, C., & Alain Destexhe, A. (2009) · Biophysical Journal · doi:10.1016/j.bpj.2008.12.3951 · Cited by 206
“This assumption is certainly valid within a macroscopic app roach, and justified by the fact that the neuropil of cerebral cortex is made of a quasi-random arrang ement of cellular processes of very diverse size (8).”
BackgroundAxon Branching and Synaptic Bouton Phenotypes in GABAergic Nonpyramidal Cell Subtypes
Karube, F., Kubota, Y., & Kawaguchi, Y. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4814-03.2004 · Cited by 203
“The overall innervation pattern depends on the manner of axonal outgrowth and branching and on the arrangement of presynaptic specializations along the axon (Hellwig et al., 1994; Braitenberg and Schütz, 1998; Anderson et al., 2002).”
BackgroundFriedemann Pulvermüller, A. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.05.015 · Cited by 232
Faugeras, O. D. (2009) · Frontiers in Computational Neuroscience · doi:10.3389/neuro.10.001.2009 · Cited by 209
“Statistical properties of the connectivities have been studied in details for instance in [8].”
A brain perspective on language mechanisms: from discrete neuronal ensembles to serial order
Friedemann Pulvermüller, A. (2002) · Progress in Neurobiology · doi:10.1016/s0301-0082(02)00014-x · Cited by 210
“This can be related to biochemical and even structural changes in the neurons, for example to growth and modification of dendritic spines (Braitenberg and Schüz, 1998; Engert and Bonhoeffer, 1999).”
BackgroundRecurrent Circuitry Dynamically Shapes the Activation of Piriform Cortex
Franks, K. M., Russo, M. J., Sosulski, D. L., Mulligan, A. A., Siegelbaum, S. A., & Axel, R. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.020 · Cited by 197
“circuitry is primarily local and serves to connect cells with similar receptive fields (Braitenberg and Schüz, 1998; Ko et al., 2011).”
BackgroundNeuronal circuits underlying persistent representations despite time varying activity
Druckmann, S., & Chklovskii, D. B. (2012) · Current Biology · doi:10.1016/j.cub.2012.08.058 · Cited by 174
The neocortical microcircuit as a tabula rasa
Kalisman, N., Silberberg, G., & Markram, H. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407088102 · Cited by 203
Packet-based communication in the cortex
Luczak, A., McNaughton, B. L., & Harris, K. D. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4026 · Cited by 196
Persistent Cortical Activity: Mechanisms of Generation and Effects on Neuronal Excitability
McCormick, D. A. (2003) · Cerebral Cortex · doi:10.1093/cercor/bhg104 · Cited by 200
“Cortical neurons are imbedded in a richly interconnected network and receive tens of thousands of synaptic inputs (reviewed in White, 1989; Braitenburg and Shuz, 1998).”
BackgroundInfluentialSynaptic clustering within dendrites: An emerging theory of memory formation
Kastellakis, G., Cai, D. J., Mednick, S. C., Silva, A. J., & Poirazi, P. (2015) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.12.002 · Cited by 198
“They are characterized as nonlinear, all-or-none dendritic responses which can propagate actively for some distance and are often confined within the generating branch (Antic et al., 2010; Larkum and Zhu, 2002; Schiller et al., 1997, 2000b).”
BackgroundBifurcation Analysis of Jansen's Neural Mass Model
Grimbert, F., & Faugeras, O. D. (2006) · Neural Computation · doi:10.1162/neco.2006.18.12.3052 · Cited by 196
Stochastic Methods in Neuroscience
Alain Destexhe, A., & Rudolph, M. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199235070.001.0001 · Cited by 193
Horzmann, K. A., & Freeman, J. L. (2016) · Toxics · doi:10.3390/toxics4030019 · Cited by 204
“Glutamate Glutamate is the most common neurotransmitter in the mammalian and teleost brain, with an expected 80%–90% of mammalian synapses using glutamate as the neurotransmitter [31].”
BackgroundGraph Frequency Analysis of Brain Signals
Huang, W., Goldsberry, L., Wymbs, N. F., Grafton, S. T., Bassett, D. S., & Ribeiro, A. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2600859 · Cited by 182
“6616 ), and brain regions with high magnitude values are highly alike (greater than 60% overlap) to the visual and sensorimotor cortices [41].”
BackgroundInhibitory stabilization and cortical computation
Sadeh, S., & Clopath, C. (2020) · Nature reviews. Neuroscience · doi:10.1038/s41583-020-00390-z · Cited by 191
Lansner, A. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.12.002 · Cited by 183
A Master Equation Formalism for Macroscopic Modeling of Asynchronous Irregular Activity States
El‐Boustani, S., & Destexhe, A. (2008) · Neural Computation · doi:10.1162/neco.2009.02-08-710 · Cited by 187
“Typical values are 100100 pixels, covering from about 3 3 mm to 3 3 cm of cortical tissue, which gives about 5 to 5000 neurons per pixel in superficial layers according to neuronal densities published previously (Braitenberg & Schuz, 1998 ).”
BackgroundPulvermüller, F. (2010) · Brain and Language · doi:10.1016/j.bandl.2009.08.002 · Cited by 182
“Based on the statistics of cortical connections, it has been argued that the cortex is, in fact, an auto-associative memory (Braitenberg & Schüz, 1998) and a network with similar auto-rich auto-associative connectivity (Palm, 1993; Willshaw, Buneman, & Longuet-Higgins, 1969) was therefore chosen as…”
BackgroundKumar, A., Rotter, S., & Aertsen, A. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2542-07.2008 · Cited by 181
“Without such restriction, they would be expected to appear in the same proportion in which they are present in the network at large ( 1– 4) (Braitenberg and Schüz, 1998).”
BackgroundProtracted synaptogenesis after activity-dependent spinogenesis in hippocampal neurons
Nägerl, U. V., Köstinger, G., Anderson, J. C., Martin, K. A. C., & Bonhoeffer, T. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.0511-07.2007 · Cited by 178
“The fractional area of the entire axon amounts to 30% (Braitenberg et al., 1998).”
BackgroundKoene, R. A., Tijms, B. M., van Hees, P., Postma, F., de Ridder, A., Ramakers, G. J. A., van Pelt, J., & Arjen Van Ooyen, B. (2009) · Neuroinformatics · doi:10.1007/s12021-009-9052-3 · Cited by 176
“Synapses can occur where axonal and dendritic branches of different neurons come sufficiently close to each other (Braitenberg and Schütz 1998; Peters 1979).”
Stereotyped Position of Local Synaptic Targets in Neocortex
Kozloski, J., Hamzei‐Sichani, F., & Yuste, R. (2001) · Science · doi:10.1126/science.293.5531.868 · Cited by 180
The role of neuronal signaling in controlling cerebral blood flow
DRAKE, C., & IADECOLA, C. (2007) · Brain and Language · doi:10.1016/j.bandl.2006.08.002 · Cited by 177
“Furthermore, cortical inhibitory neurons and synapses are only one tenth as numerous as excitatory neurons (Abeles, 1991; Braitenberg & Schuz, 1998).”
BackgroundCerebral cortex : principles of operation
Rolls, E. T. (2016) · doi:10.82444/warw.33712699 · Cited by 187
Orientation Preference Patterns in Mammalian Visual Cortex
Koulakov, A. A., & Chklovskii, D. B. (2001) · Neuron · doi:10.1016/s0896-6273(01)00223-9 · Cited by 176
Theoretical models of the diffusion weighted MR signal
Yablonskiy, D. A., & Sukstanskii, A. L. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1520 · Cited by 185
“[1], [8] and are given by the following expressions (26):”
BackgroundMethodInfluentialDevelopment of input connections in neural cultures
Soriano, J., Martínez, M. R., Tlusty, T., & Moses, E. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707492105 · Cited by 176
“Reported values for m0 are in the range of 5–30 (25, 26).”
Background3D structural imaging of the brain with photons and electrons
Helmstaedter, M. N., Briggman, K. L., & Denk, W. T. (2008) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2009.03.005 · Cited by 175
Biological constraints on neural network models of cognitive function
Friedemann Pulvermüller, A., Tomasello, R., Henningsen‐Schomers, M. R., & Wennekers, T. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00473-5 · Cited by 186
“…semantic feature units (filled circles at the top) characterizing the related concept. b | Auto-associative networks include connections between their neurons, such that reverberating activity is possible; they are inspired by the local connectivity between adjacent cortical pyramidal cells 20,22 .”
InfluentialNeske, G. T., Patrick, S. L., & Connors, B. W. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2279-14.2015 · Cited by 167
“Cortical neurons are densely innervated, and the majority of their synapses arise from neighboring cortical neurons (Braitenburg and Shuz, 1998).”
BackgroundPortraits of communication in neuronal networks
Hahn, G., Ponce-Alvarez, A., Deco, G., Aertsen, A., & Kumar, A. (2019) · Nature reviews. Neuroscience · doi:10.1038/s41583-018-0094-0 · Cited by 171
Graph Theory Methods for the Analysis of Neural Connectivity Patterns
Sporns, O. (2003) · Springer eBooks · doi:10.1007/978-1-4615-1079-6_12 · Cited by 169
“Braitenberg and Schuz, 1998 ), which can be used to compile probabilistic connection matrices.”
BackgroundMean-field modeling of the basal ganglia-thalamocortical system. I
van Albada, S. J., & Robinson, P. A. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.12.018 · Cited by 170
“These equations are simplified by imposing the random connectivity approximation, in which the number of synapses within the cortex is proportional to the product of the numbers of sending and receiving neurons (Braitenberg and Schüz, 1998; Robinson et al., 2001a; Wright and Liley, 1995).”
MethodState and location dependence of action potential metabolic cost in cortical pyramidal neurons
Hallermann, S., de Kock, C. P. J., Stuart, G. J., & Kole, M. H. P. (2012) · Nature Neuroscience · doi:10.1038/nn.3132 · Cited by 163
Hill, S., Wang, Y., Riachi, I., Schürmann, F., & Markram, H. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1202128109 · Cited by 162
“Even the strongest proponents of statistical connectivity or neurogeometry (22, 23) believe that arbor alignment requires extracellular chemical repulsion (24) and attraction (25).”
BackgroundRealistically Coupled Neural Mass Models Can Generate EEG Rhythms
Sotero, R. C., Trujillo‐Barreto, N. J., Iturria‐Medina, Y., Carbonell, F., & Jiménez, J. C. (2007) · Neural Computation · doi:10.1162/neco.2007.19.2.478 · Cited by 161
“In this section we present the final mathematical formulation of the thalamocortical model proposed, with SRCs and LRCs included.”
BackgroundInfluentialGlobal and regional brain metabolic scaling and its functional consequences.
Karbowski, J. (2007) · BMC Biology · doi:10.1186/1741-7007-5-18 · Cited by 161
“Because the product of the number of neurons and axonal surface area is proportional to the ratio of the volume of gray matter to axon diameter (due to the empirical fact that volumes of intracortical axons and gray matter are proportional across species [28]), the resting potential contribution produces the total met…”
BackgroundInfluentialLocal Potential Connectivity in Cat Primary Visual Cortex
Stepanyants, A., Hirsch, J. A., Martı́nez, L. M., Kisvárday, Z. F., Ferecskó, A. S., & Chklovskii, D. B. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm027 · Cited by 154
“…synapses between them (Ramo´n y Cajal 1891; Sholl 1956; Szenta´gothai 1975; Gilbert and Wiesel 1981; Gilbert 1983; White and Keller 1989; Abeles 1991; Braitenberg and Schu¨z 1998; Kalisman et al. 2003, 2005; Lu¨bke et al. 2003; Binzegger et al. 2004; Amirikian 2005; Shepherd et al. 2005) (for…”
InfluentialNon-Gaussian Membrane Potential Dynamics Imply Sparse, Synchronous Activity in Auditory Cortex
DeWeese, M. R., & Zador, A. M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.2813-06.2006 · Cited by 155
“A typical cortical neuron receives input from 10,000 other neurons (Braitenberg and Schuz, 1998), distributed within the same cortical column as well as much more distal parts of cortex and elsewhere.”
BackgroundMethodInfluentialNeuronal Cell Types and Connectivity: Lessons from the Retina
Seung, H. S., & Sümbül, U. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.054 · Cited by 143
“the cortex, because the retina is highly ordered, whereas the cortex looks more random (Braitenberg and Schüz, 1998).”
BackgroundAdaptive self-organization in a realistic neural network model
Meisel, C., & Groß, T. (2009) · Physical Review E · doi:10.1103/physreve.80.061917 · Cited by 146
“…18] have shown that it is advantageous to quantify the dynamics by defining an order parameter Csyn(K) as an average over pairs of 4 neurons of the correlations between neurons i, j Ci,j(τ) = 1 τ + 1 t0+τ∑ t=t0 σi(t)σj(t), (5) where σi(t) is one if the neuron i spiked at time t and zero otherwise.”
BackgroundSchröter, M. S., Charlesworth, P., Kitzbichler, M. G., Paulsen, O., & Bullmore, E. T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4259-14.2015 · Cited by 149
“It may further indicate that, although local synaptic connectivity is suggested to become dense in adulthood (Braitenberg and Schüz, 1998), functional connectivity orchestrated on top of a subset of structural connectivity remains sparse— keeping the cost of functional information processing low…”
BackgroundThinking in circuits: toward neurobiological explanation in cognitive neuroscience
Friedemann Pulvermüller, A., Garagnani, M., & Wennekers, T. (2014) · Biological Cybernetics · doi:10.1007/s00422-014-0603-9 · Cited by 155
“…“cell assembly” is used in different ways by different researchers, reflecting a degree of variability of the CELL ASSEMBLY concept, it seems appropriate to spell out how we use the term in the present context (see also Braitenberg 1978; Palm 1982; Braitenberg and Schüz 1998; Pulvermüller 2002).”
BackgroundMethodInfluentialReconstructing neuronal circuitry from parallel spike trains
Kobayashi, R., Kurita, S., Kurth, A. C., Kitano, K., Mizuseki, K., Diesmann, M., Richmond, B. J., & Shinomoto, S. (2019) · Nature Communications · doi:10.1038/s41467-019-12225-2 · Cited by 149
“Because our model network is smaller than real cortical networks, where each neuron receives inputs from the order of 10,000 neurons (Braitenberg and Schüz, 1998), we added a background current to represent inputs from many neurons, as previously done by (Destexhe et al., 2001).”
MethodStochastic Simulations on the Reliability of Action Potential Propagation in Thin Axons
Faisal, A. A., & Laughlin, S. B. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030079 · Cited by 148
“the local cortico–cortical connectivity with wiring densities up to 4 km of axon per mm(3) gray matter [24].”
BackgroundIs the brain really a small-world network?
Hilgetag, C. C., & Goulas, A. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1035-6 · Cited by 144
“The average number of synapses of neurons (*104) (Braitenberg and Schüz 1998) divided by the number of neural elements (*1010) (Herculano-Houzel 2012) results in a very low average probability of any two neurons in the brain making contact (10-6), implying a highly dispersed network.”
BackgroundDense EM-based reconstruction of the interglomerular projectome in the zebrafish olfactory bulb
Wanner, A. A., Genoud, C., Masudi, T., Siksou, L., & Friedrich, R. W. (2016) · Nature Neuroscience · doi:10.1038/nn.4290 · Cited by 144
“Morphological clustering of all neurons excluded the axon and was based on measurements of the following 11 parameters for each neuron: (1) presence of an axon (binary parameter), (2) fractal dimension, (3) total process length, (4) number of branch nodes, (5) longest neurite length, (6) volume of the convex hull arou…”
Model of low-pass filtering of local field potentials in brain tissue
Bédard, C., Kröger, H., & Alain Destexhe, A. (2006) · Physical Review E · doi:10.1103/physreve.73.051911 · Cited by 142
Confirmation of a gyral bias in diffusion MRI fiber tractography
Schilling, K. G., Gao, Y., Janve, V. A., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2017) · Human Brain Mapping · doi:10.1002/hbm.23936 · Cited by 143
Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays
Wen, Q., & Chklovskii, D. B. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010078 · Cited by 150
“Methods). Then, by using Equation 27 and the constancy of the optimal local wire diameter d across different species [ 31 ], we predict that R0 ; V 4/27 . This prediction agrees well with”
BackgroundMethodResultInfluentialAltered synapses and gliotransmission in Alzheimer's disease and AD model mice
Mitew, S., Kirkcaldie, M. T. K., Dickson, T. C., & Vickers, J. C. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.04.010 · Cited by 138
A Morphological Correlate of Synaptic Scaling in Visual Cortex
Wallace, W., & Bear, M. F. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.1110-04.2004 · Cited by 141
“Some have attempted to resolve this problem by using geometrical methods to estimate “projected spine counts” based on Golgi data (Feldman and Peters, 1979; Larkman, 1991; Braitenberg and Schuz, 1998).”
BackgroundMethodInfluentialNeural Mass Activity, Bifurcations, and Epilepsy
Touboul, J., Wendling, F., Chauvel, P., & Faugeras, O. D. (2011) · Neural Computation · doi:10.1162/neco_a_00206 · Cited by 134
“We denote by α i the related dimensionless coefficients (ie, J i =α i J) that allow experimental fit, following Braitenberg and Schuz ( 1998 ).”
Old Things New View: Ascorbic Acid Protects the Brain in Neurodegenerative Disorders
Covarrubias‐Pinto, A., Acuña, A. I., Beltrán, F. A., Torres-Díaz, L., & Castro, M. A. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161226095 · Cited by 140
“Given that over 80% of neurons are excitatory and over 90% of synapses release glutamate, the major player in neuroenergetics is glutamatergic activity [174–176].”
BackgroundThe Glutamate/ GABA ‐Glutamine Cycle: Insights, Updates, and Advances
Andersen, J. V. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70029 · Cited by 170
“This may be explained by the fact that glutamatergic neurons constitute the vast majority of the neuronal population (Braitenberg and Schüz 1998), hence general elevation of brain glutamine levels will not only support GABAergic neurons but even more so the dominant population of excitatory…”
Moving the hands and feet specifically impairs working memory for arm- and leg-related action words
Shebani, Z., & Friedemann Pulvermüller, A. (2011) · Cortex · doi:10.1016/j.cortex.2011.10.005 · Cited by 143
Biophysical model for integrating neuronal activity, EEG, fMRI and metabolism
Sotero, R. C., & Trujillo‐Barreto, N. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.001 · Cited by 136
“At this spatial scale, pyramidal-to-pyramidal connections become increasingly important (Braitenberg and Schüz, 1998).”
BackgroundBitanihirwe, B., Lim, M., Kelley, J., Kaneko, T., & Woo, T. (2009) · BMC Psychiatry · doi:10.1186/1471-244x-9-71 · Cited by 137
“synapses formed by glutamatergic terminals) in the cortex are formed almost exclusively on dendritic spines [59], and this amount is similar to the magnitude of reduction in vGluT1-immunoreactive profiles observed in this study, one interpretation of our finding is that the majority of the glutamatergic terminals that…”
Beyeler, M., Dutt, N. D., & Krichmar, J. L. (2013) · Neural Networks · doi:10.1016/j.neunet.2013.07.012 · Cited by 134
Tomasello, R., Garagnani, M., Wennekers, T., & Friedemann Pulvermüller, A. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.07.004 · Cited by 149
“This produces a sparse, patchy and topographic connectivity, as typically found in the mammalian cortex (Amir et al., 1993; Braitenberg and Schüz, 1998; Douglas and Martin, 2004; Kaas, 1997).”
InfluentialMeaning and the brain: The neurosemantics of referential, interactive, and combinatorial knowledge
Friedemann Pulvermüller, A. (2011) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2011.03.004 · Cited by 140
From diffusion MRI to brain connectomics
Hagmann, P. (2005) · reroDoc Digital Library · doi:10.5075/epfl-thesis-3230 · Cited by 161
“In mammals, where 1 mm3 of cortex contains 105 neurons, 108 synapses and 4 km of axons [22], similar combined detailed and exhaustive approaches is clearly not feasible.”
BackgroundSpecificity and randomness in the visual cortex
Ohki, K., & Reid, R. C. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.07.007 · Cited by 131
“At this level and the next – that of actual synaptic connections – the debate about specificity has been couched in terms of Peters’ rule [19,22,23], that is, axons make connections randomly in direct proportion to the occurrence of all synaptic targets in the adjacent neuropil, with no local specificity.”
Makris, N., Swaab, D. F., van der Kouwe, A. J. W., Abbs, B., Boriel, D., Handa, R. J., Tobet, S. A., & Goldstein, J. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.12.008 · Cited by 133
“As has been reported by others (Braitenberg and Schuz, 1998), tissues could show alterations from 42% to 80% of their original volume due to fixation and staining effects (Drenhaus et al., 1986; Mouritzen Dam, 1979; O'Kusky and Colonnier, 1982; Romeis, 1968; Schuz and Palm, 1989; Stephan, 1960;…”
Haller, S., & Bartsch, A. J. (2009) · European Radiology · doi:10.1007/s00330-009-1456-9 · Cited by 139
“Concerning inhibition, thisislessclear.Thedensityofcorticalinhibitoryneuronsis 10–15 times lower than excitatory neurons, which may imply that inhibitory neurons contribute less to the overall BOLD response [ 36 ].”
BackgroundGaragnani, M., Wennekers, T., & Friedemann Pulvermüller, A. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06015.x · Cited by 136
“This negative feedback circuit functions both as a ‘local’ activation control and lateral inhibition mechanism, simulating the action of a pool of inhibitory interneurones surrounding a pyramidal cell in the cortex (Braitenberg & Schu¨z, 1998).”
BackgroundInfluentialSex differences in the human brain
Paus, T. (2010) · Progress in brain research · doi:10.1016/b978-0-444-53630-3.00002-6 · Cited by 137
Garagnani, M., & Friedemann Pulvermüller, A. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.13145 · Cited by 142
“…into account (Husain et al., 2004; Guenther et al., 2006; Ueno et al., 2011), they either did not incorporate learning mechanisms, or made use of ones (e.g. back-propagation) whose neurobiological plausibility is questionable (Mazzoni et al., 1991; Braitenberg & Sch€uz, 1998; O’Reilly, 1998).”
BackgroundMethodInfluentialMicrostructural imaging of human neocortex in vivo
Edwards, L., Kirilina, E. P., Mohammadi, S., & Weiskopf, N. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.02.055 · Cited by 122
“It is pertinent to note that in cortex the number of axons and dendrites are approximately equal (Braitenberg and Schüz, 1998c; a), and that dendritic structures change with age and can vary between cortical areas (Jacobs and Scheibel, 2002).”
BackgroundDendritic Branch Typing and Spine Expression Patterns in Cortical Nonpyramidal Cells
Kawaguchi, Y., Karube, F., & Kubota, Y. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhj015 · Cited by 125
“and dendrites elongate, branch and form synapses should be investigated (Abeles, 1991; Braitenberg and Schütz, 1998; Anderson et al., 2002; Thomson and Morris, 2002).”
BackgroundMethodInfluentialHow inhibition influences seizure propagation
Trevelyan, A. J., & Schevon, C. A. (2012) · Neuropharmacology · doi:10.1016/j.neuropharm.2012.06.015 · Cited by 137
Mean-field modeling of the basal ganglia-thalamocortical system. II
van Albada, S. J., Gray, R. T., Drysdale, P. M., & Robinson, P. A. (2008) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2008.12.013 · Cited by 133
Towards cortex sized artificial neural systems
Johansson, C., & Lansner, A. (2006) · Neural Networks · doi:10.1016/j.neunet.2006.05.029 · Cited by 129
Rhythm Generation through Period Concatenation in Rat Somatosensory Cortex
Kramer, M., Roopun, A. K., Carracedo, L. M., Traub, R. D., Whittington, M. A., & Kopell, N. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000169 · Cited by 125
“What mechanisms produce these neural rhythms? The complexity of the vertebrate brain—resulting not only from the sheer number of neurons (approximately 10(9)) and their connections (approximately 10(11) [4]), but also from the many different neuron classes (e.”
Hummel, F. C., & Gerloff, C. P. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh170 · Cited by 130
“…in which extensive associative memory can be established by synaptic strengthening between adjacent neurons and/or neurons in distant brain areas (Braitenberg and Schüz, 1998); and (iii) repeated synchronous neuronal activation and subsequent synaptic strengthening has important functional…”
BackgroundBrain Size and Number of Neurons: An Exercise in Synthetic Neuroanatomy
Braitenberg, V. (2001) · Journal of Computational Neuroscience · doi:10.1023/a:1008920127052 · Cited by 125
Self-citationMechanisms of pattern decorrelation by recurrent neuronal circuits
Wiechert, M. T., Judkewitz, B., Riecke, H., & Friedrich, R. W. (2010) · Nature Neuroscience · doi:10.1038/nn.2591 · Cited by 128
Eigenmodes of brain activity: Neural field theory predictions and comparison with experiment
Robinson, P. A., Zhao, X., Aquino, K. M., Griffiths, J. D., Sarkar, S., & Mehta-Pandejee, G. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.050 · Cited by 129
“, 2000) and brain connectivity is also surprisingly similar at various points (Henderson and Robinson, 2013, 2014; Braitenberg and Schüz, 1991).”
InfluentialMicro-connectomics: probing the organization of neuronal networks at the cellular scale
Schröter, M. S., Paulsen, O., & Bullmore, E. T. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.182 · Cited by 128
Wen, Q., Stepanyants, A., Elston, G. N., Grosberg, A. Y., & Chklovskii, D. B. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901530106 · Cited by 125
“This accounts for the sparseness of basal dendritic arbors of pyramidal cells, which form potential synapses with only a small fraction of axons passing through the arbor territory (6) (Fig.”
Searching for the neurite density with diffusion MRI: challenges for biophysical modeling
Lampinen, B., Szczepankiewicz, F., Novén, M., van Westen, D., Hansson, O., Englund, E., Mårtensson, J., Westin, C., & Nilsson, M. (2019) · Human Brain Mapping · doi:10.1002/hbm.24542 · Cited by 123
“In cortical gray matter, histology studies in mice have reported a rather even split between axons and dendrites and a neurite volume fraction of approximately 60% (Braitenberg & Schüz, 1998; Chklovskii, Schikorski, & Stevens, 2002; Ikari & Hayashi, 1981).”
Metadata
- Authors
- Braitenberg, V., & Schüz, A.
- Affiliations
- Max Planck Society (DE)
- Venue
- Springer eBooks
- Publisher
- Springer Berlin Heidelberg
- Published
- 1998
- 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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