-
2
-
-
24944525816
-
Eigenvalues and homology of flag complexes and vector representations of graphs
-
Aharoni, R., Berger, E., and Meshulam, R. (2005). Eigenvalues and homology of flag complexes and vector representations of graphs. Geom. Funct. Anal. 15, 555–566. doi: 10.1007/s00039-005-0516-9
-
(2005)
Geom. Funct. Anal.
, vol.15
, pp. 555-566
-
-
Aharoni, R.1
Berger, E.2
Meshulam, R.3
-
3
-
-
84942852946
-
Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing
-
Bale, M. R., Ince, R. A. A., Santagata, G., and Petersen, R. S. (2015). Efficient population coding of naturalistic whisker motion in the ventro-posterior medial thalamus based on precise spike timing. Front. Neural Circuits 9:50. doi: 10.3389/fncir.2015.00050
-
(2015)
Front. Neural Circuits
, vol.9
, pp. 50
-
-
Bale, M.R.1
Ince, R.A.A.2
Santagata, G.3
Petersen, R.S.4
-
4
-
-
85013742511
-
Network neuroscience
-
Bassett, D. S., and Sporns, O. (2017). Network neuroscience. Nat. Neurosci. 20, 353–364. doi: 10.1038/nn.4502
-
(2017)
Nat. Neurosci.
, vol.20
, pp. 353-364
-
-
Bassett, D.S.1
Sporns, O.2
-
5
-
-
84962422625
-
PHAT-Persistent Homology Algorithms Toolbox
-
Bauer, U., Kerber, M., Reininghaus, J., and Wagner, H. (2017). PHAT-Persistent Homology Algorithms Toolbox. J. Symb. Comput. 78, 76–90. doi: 10.1016/j.jsc.2016.03.008
-
(2017)
J. Symb. Comput
, vol.78
, pp. 76-90
-
-
Bauer, U.1
Kerber, M.2
Reininghaus, J.3
Wagner, H.4
-
6
-
-
33846493795
-
A model of neocortex. Network Comput. Neural
-
Bienenstock, E. (1995). A model of neocortex. Network Comput. Neural Syst. 6, 179–224. doi: 10.1088/0954-898X 6 2 004
-
(1995)
Syst
, vol.6
, pp. 179-224
-
-
Bienenstock, E.1
-
7
-
-
0001453729
-
Cell assemblies in the cerebral cortex
-
eds R. Heimand G. Palm (Berlin; Heidelberg: Springer)
-
Braitenberg, V. (1978). “Cell assemblies in the cerebral cortex,” in Theoretical Approaches to Complex Systems, eds R. Heimand G. Palm (Berlin; Heidelberg: Springer), 171–188. Available online at: http://www.springer.com/cn/book/9783540087571
-
(1978)
Theoretical Approaches to Complex Systems
, pp. 171-188
-
-
Braitenberg, V.1
-
8
-
-
0347506358
-
Correlations without synchrony
-
Brody, C. D. (1999). Correlations without synchrony. Neural Comput. 11, 1537–1551. doi: 10.1162/089976699300016133
-
(1999)
Neural Comput
, vol.11
, pp. 1537-1551
-
-
Brody, C.D.1
-
9
-
-
60549103853
-
Complex brain networks: Graph theoretical analysis of structural and functional systems
-
Bullmore, E., and Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 10, 186–198. doi: 10.1038/nrn2575
-
(2009)
Nat. Rev. Neurosci.
, vol.10
, pp. 186-198
-
-
Bullmore, E.1
Sporns, O.2
-
10
-
-
84988947913
-
Higher-order synaptic interactions coordinate dynamics in recurrent networks
-
Chambers, B., and MacLean, J. N. (2016). Higher-order synaptic interactions coordinate dynamics in recurrent networks. PLOS Comput. Biol. 12:e1005078. doi: 10.1371/journal.pcbi.1005078
-
(2016)
PLOS Comput. Biol.
, vol.12
-
-
Chambers, B.1
Maclean, J.N.2
-
11
-
-
7244223157
-
Cortical rewiring and information storage
-
Chklovskii, D. B., Mel, B. W., and Svoboda, K. (2004). Cortical rewiring and information storage. Nature 431, 782–788. doi: 10.1038/nature03012
-
(2004)
Nature
, vol.431
, pp. 782-788
-
-
Chklovskii, D.B.1
Mel, B.W.2
Svoboda, K.3
-
12
-
-
0035147986
-
Temporal binding and the neural correlates of sensory awareness
-
Engel, A. K., and Singer, W. (2001). Temporal binding and the neural correlates of sensory awareness. Trends Cogn. Sci. 5, 16–25. doi: 10.1016/S1364-6613(00)01568-0
-
(2001)
Trends Cogn. Sci.
, vol.5
, pp. 16-25
-
-
Engel, A.K.1
Singer, W.2
-
14
-
-
84946594591
-
Clique topology reveals intrinsic geometric structure in neural correlations
-
Giusti, C., Pastalkova, E., Curto, C., and Itskov, V. (2015). Clique topology reveals intrinsic geometric structure in neural correlations. Proc. Natl. Acad. Sci. U.S.A. 112, 13455–13460. doi: 10.1073/pnas.1506407112
-
(2015)
Proc. Natl. Acad. Sci. U.S.A.
, vol.112
, pp. 13455-13460
-
-
Giusti, C.1
Pastalkova, E.2
Curto, C.3
Itskov, V.4
-
15
-
-
3142692037
-
Evolution to a small-world network with chaotic units
-
Gong, P., and Leeuwen, C. v. (2004). Evolution to a small-world network with chaotic units. EPL 67:328. doi: 10.1209/epl/i2003-10287-7
-
(2004)
EPL
, vol.67
, pp. 328
-
-
Gong, P.1
Leeuwen, C.V.2
-
16
-
-
84923096391
-
The neocortical circuit: Themes and variations
-
Harris, K. D., and Shepherd, G. M. G. (2015). The neocortical circuit: themes and variations. Nat. Neurosci. 18, 170–181. doi: 10.1038/nn.3917
-
(2015)
Nat. Neurosci.
, vol.18
, pp. 170-181
-
-
Harris, K.D.1
Shepherd, G.M.G.2
-
18
-
-
69249100460
-
Experience-dependent structural synaptic plasticity in the mammalian brain
-
Holtmaat, A., and Svoboda, K. (2009). Experience-dependent structural synaptic plasticity in the mammalian brain. Nat. Rev. Neurosci. 10, 647–658. doi: 10.1038/nrn2699
-
(2009)
Nat. Rev. Neurosci.
, vol.10
, pp. 647-658
-
-
Holtmaat, A.1
Svoboda, K.2
-
19
-
-
84898929753
-
Local paths to global coherence: cutting networks down to size
-
Hu, Y., Trousdale, J., Josi, K., and Shea-Brown, E. (2014). Local paths to global coherence: cutting networks down to size. Phys. Rev. E 89:032802. doi: 10.1103/PhysRevE.89.032802
-
(2014)
Phys. Rev. E
, vol.89
, pp. 032802
-
-
Hu, Y.1
Trousdale, J.2
Josi, K.3
Shea-Brown, E.4
-
20
-
-
23744500479
-
-
(Accessed November 11, 2016)
-
Jones, E., Oliphant, T., Peterson, P., and others (2001). SciPy: Open Source Scientific Tools for Python. Available online at: https://www.scipy.org/citing.html (Accessed November 11, 2016).
-
(2001)
Scipy: Open Source Scientific Tools for Python
-
-
Jones, E.1
Oliphant, T.2
Peterson, P.3
-
21
-
-
77649298475
-
Memory capacities for synaptic and structural plasticity
-
Knoblauch, A., Palm, G., and Sommer, F. T. (2009). Memory capacities for synaptic and structural plasticity. Neural Comput. 22, 289–341. doi: 10.1162/neco.2009.08-07-588
-
(2009)
Neural Comput
, vol.22
, pp. 289-341
-
-
Knoblauch, A.1
Palm, G.2
Sommer, F.T.3
-
22
-
-
84922591049
-
Efficient behavior of small-world networks
-
Latora, V., and Marchiori, M. (2001). Efficient behavior of small-world networks. Phys. Rev. Lett. 87:198701. doi: 10.1103/PhysRevLett.87.198701
-
(2001)
Phys. Rev. Lett.
, vol.87
, pp. 198701
-
-
Latora, V.1
Marchiori, M.2
-
23
-
-
33748361587
-
Spontaneous and evoked synaptic rewiring in the neonatal neocortex
-
Le Be, J.-V., and Markram, H. (2006). Spontaneous and evoked synaptic rewiring in the neonatal neocortex. Proc. Natl. Acad. Sci. U.S.A. 103, 13214–13219. doi: 10.1073/pnas.0604691103
-
(2006)
Proc. Natl. Acad. Sci. U.S.A.
, vol.103
, pp. 13214-13219
-
-
Le Be, J.-V.1
Markram, H.2
-
24
-
-
84948099899
-
Packet-based communication in the cortex
-
Luczak, A., McNaughton, B. L., and Harris, K. D. (2015). Packet-based communication in the cortex. Nat. Rev. Neurosci. 16, 745–755. doi: 10.1038/nrn4026
-
(2015)
Nat. Rev. Neurosci.
, vol.16
, pp. 745-755
-
-
Luczak, A.1
McNaughton, B.L.2
Harris, K.D.3
-
25
-
-
84943612722
-
Reconstruction and simulation of neocortical microcircuitry
-
Markram, H., Muller, E., Ramaswamy, S., Reimann, M., Abdellah, M., Sanchez, C., et al. (2015). Reconstruction and simulation of neocortical microcircuitry. Cell 163, 456–492. doi:10.1016/j.cell.2015.09.029
-
(2015)
Cell
, vol.163
, pp. 456-492
-
-
Markram, H.1
Muller, E.2
Ramaswamy, S.3
Reimann, M.4
Abdellah, M.5
Sanchez, C.6
-
26
-
-
77956575321
-
Cell type-specific thalamic innervation in a column of rat vibrissal cortex
-
Meyer, H. S., Wimmer, V. C., Hemberger, M., Bruno, R. M., de Kock, C. P., Frick, A., et al. (2010). Cell type-specific thalamic innervation in a column of rat vibrissal cortex. Cereb. Cortex 20, 2287–2303. doi: 10.1093/cercor/bhq069
-
(2010)
Cereb. Cortex
, vol.20
, pp. 2287-2303
-
-
Meyer, H.S.1
Wimmer, V.C.2
Hemberger, M.3
Bruno, R.M.4
De Kock, C.P.5
Frick, A.6
-
27
-
-
84907298172
-
Visual stimuli recruit intrinsically generated cortical ensembles
-
Miller, J.-E. K., Ayzenshtat, I., Carrillo-Reid, L., and Yuste, R. (2014). Visual stimuli recruit intrinsically generated cortical ensembles. Proc. Natl. Acad. Sci. U.S.A. 111, E4053–E4061. doi: 10.1073/pnas.1406077111
-
(2014)
Proc. Natl. Acad. Sci. U.S.A
, vol.111
, pp. E4053-E4061
-
-
Miller, J.-E.K.1
Ayzenshtat, I.2
Carrillo-Reid, L.3
Yuste, R.4
-
29
-
-
84860430806
-
The organization of strong links in complex networks
-
Pajevic, S., and Plenz, D. (2012). The organization of strong links in complex networks. Nat. Phys. 8, 429–436. doi: 10.1038/nphys2257
-
(2012)
Nat. Phys.
, vol.8
, pp. 429-436
-
-
Pajevic, S.1
Plenz, D.2
-
30
-
-
0023897920
-
On the significance of correlations among neuronal spike trains
-
Palm, G., Aertsen, A. M., and Gerstein, G. L. (1988). On the significance of correlations among neuronal spike trains. Biol. Cybern. 59, 1–11. doi: 10.1007/BF00336885
-
(1988)
Biol. Cybern
, vol.59
, pp. 1-11
-
-
Palm, G.1
Aertsen, A.M.2
Gerstein, G.L.3
-
31
-
-
80555140075
-
Scikit-learn: Machine learning in Python
-
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al. (2011). Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825–2830. Available online at: http://www.jmlr.org/papers/v12/pedregosa11a.html
-
(2011)
J. Mach. Learn. Res
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
-
32
-
-
79955101961
-
A synaptic organizing principle for cortical neuronal groups
-
Perin, R., Berger, T. K., and Markram, H. (2011). A synaptic organizing principle for cortical neuronal groups. Proc. Natl. Acad. Sci. U.S.A. 108, 5419–5424. doi:10.1073/pnas.1016051108
-
(2011)
Proc. Natl. Acad. Sci. U.S.A.
, vol.108
, pp. 5419-5424
-
-
Perin, R.1
Berger, T.K.2
Markram, H.3
-
33
-
-
0016891021
-
The projection of the lateral geniculate nucleus to area 17 of the rat cerebral cortex. I. General description
-
Peters, A., and Feldman, M. L. (1976). The projection of the lateral geniculate nucleus to area 17 of the rat cerebral cortex. I. General description. J. Neurocytol. 5, 63–84. doi: 10.1007/BF01176183
-
(1976)
J. Neurocytol.
, vol.5
, pp. 63-84
-
-
Peters, A.1
Feldman, M.L.2
-
34
-
-
84928923288
-
Homological scaffolds of brain functional networks
-
Petri, G., Expert, P., Turkheimer, F., Carhart-Harris, R., Nutt, D., Hellyer, P. J., et al. (2014). Homological scaffolds of brain functional networks. J. R. Soc. Interface 11:20140873. doi: 10.1098/rsif.2014.0873
-
(2014)
J. R. Soc. Interface
, vol.11
-
-
Petri, G.1
Expert, P.2
Turkheimer, F.3
Carhart-Harris, R.4
Nutt, D.5
Hellyer, P.J.6
-
35
-
-
84943608097
-
The neocortical microcircuit collaboration portal: A resource for rat somatosensory cortex
-
Ramaswamy, S., Courcol, J.-D., Abdellah, M., Adaszewski, S. R., Antille, N., Arsever, S., et al. (2015). The neocortical microcircuit collaboration portal: a resource for rat somatosensory cortex. Front. Neural Circuits 9:44. doi: 10.3389/fncir.2015.00044
-
(2015)
Front. Neural Circuits
, vol.9
, pp. 44
-
-
Ramaswamy, S.1
Courcol, J.-D.2
Abdellah, M.3
Adaszewski, S.R.4
Antille, N.5
Arsever, S.6
-
36
-
-
84944319206
-
An algorithmto predict the connectome of neural microcircuits
-
Reimann, M. W., King, J. G., Muller, E. B., Ramaswamy, S., and Markram, H. (2015). An algorithmto predict the connectome of neural microcircuits. Front. Comput. Neurosci. 9:120. doi: 10.3389/fncom.2015.00120
-
(2015)
Front. Comput. Neurosci.
, vol.9
, pp. 120
-
-
Reimann, M.W.1
King, J.G.2
Muller, E.B.3
Ramaswamy, S.4
Markram, H.5
-
37
-
-
75749100546
-
The asynchronous state in cortical circuits
-
Renart, A., de la Rocha, J., Bartho, P., Hollender, L., Parga, N., Reyes, A., et al. (2010). The asynchronous state in cortical circuits. Science 327, 587–590. doi: 10.1126/science.1179850
-
(2010)
Science
, vol.327
, pp. 587-590
-
-
Renart, A.1
De La Rocha, J.2
Bartho, P.3
Hollender, L.4
Parga, N.5
Reyes, A.6
-
38
-
-
84992699645
-
The spatial structure of correlated neuronal variability
-
Rosenbaum, R., Smith, M. A., Kohn, A., Rubin, J. E., and Doiron, B. (2017). The spatial structure of correlated neuronal variability. Nat. Neurosci. 20, 107–114. doi: 10.1038/nn.4433
-
(2017)
Nat. Neurosci
, vol.20
, pp. 107-114
-
-
Rosenbaum, R.1
Smith, M.A.2
Kohn, A.3
Rubin, J.E.4
Doiron, B.5
-
39
-
-
20544445754
-
Geometric and functional organization of cortical circuits
-
Shepherd, G. M. G., Stepanyants, A., Bureau, I., Chklovskii, D., and Svoboda, K. (2005). Geometric and functional organization of cortical circuits. Nat. Neurosci. 8, 782–790. doi: 10.1038/nn1447
-
(2005)
Nat. Neurosci.
, vol.8
, pp. 782-790
-
-
Shepherd, G.M.G.1
Stepanyants, A.2
Bureau, I.3
Chklovskii, D.4
Svoboda, K.5
-
40
-
-
18044383304
-
Highly nonrandom features Of synaptic connectivity in local cortical circuits
-
Song, S., Sjöström, P. J., Reigl, M., Nelson, S., and Chklovskii, D. B. (2005). Highly nonrandom features Of synaptic connectivity in local cortical circuits. PLoS Biol. 3:e68. doi: 10.1371/journal.pbio.0030068
-
(2005)
Plos Biol
, vol.3
-
-
Song, S.1
Sjöström, P.J.2
Reigl, M.3
Nelson, S.4
Chklovskii, D.B.5
-
41
-
-
20744456035
-
Neurogeometry and potential synaptic connectivity
-
Stepanyants, A., and Chklovskii, D. (2005). Neurogeometry and potential synaptic connectivity. Trends Neurosci. 28, 387–394. doi: 10.1016/j.tins.2005. 05.006
-
(2005)
Trends Neurosci
, vol.28
, pp. 387-394
-
-
Stepanyants, A.1
Chklovskii, D.2
-
42
-
-
79952483532
-
Structural properties of the caenorhabditis elegans neuronal network
-
Varshney, L. R., Chen, B. L., Paniagua, E., Hall, D. H., and Chklovskii, D. B. (2011). Structural properties of the caenorhabditis elegans neuronal network. PLoS Comput. Biol. 7:e1001066. doi: 10.1371/journal.pcbi.1001066
-
(2011)
Plos Comput. Biol.
, vol.7
-
-
Varshney, L.R.1
Chen, B.L.2
Paniagua, E.3
Hall, D.H.4
Chklovskii, D.B.5
-
43
-
-
0014666936
-
Non-holographic associative memory
-
Willshaw, D. J., Buneman, O. P., and Longuet-Higgins, H. C. (1969). Non-holographic associative memory. Nature 222, 960–962.
-
(1969)
Nature
, vol.222
, pp. 960-962
-
-
Willshaw, D.J.1
Buneman, O.P.2
Longuet-Higgins, H.C.3
|