Correction to: Brain Struct Funct (2018) 223:1409–1435 10.1007/s00429-017-1554-4
Unfortunately, some errors slipped into the manuscript, which we correct here:
Figure 2: In panels b and c, a few data points are missing in the published figure. Despite this, the fitted curves are correct.
Figure 5: In panel a, a few data points are missing in the figure. Despite this, the corresponding fit is correct.
-
Figure 8: Due to a mistake in the configuration of parameters, the bottom row of the figure shows wrong results. The published Figure 8c uses instead of the correct value . Because of this, the corresponding part of the figure needs to be replaced and the following sentences in the main text are incorrect:
“In intermediate areas, the shortest paths involve one or two populations. From high-type to low-type areas, these intra-area paths are mostly from 4E to 2/3E (Fig. 8c), in line with the start-end pattern shown in Fig. 8b, but a substantial fraction passes through 2/3E and 5E only. Indirect, horizontal paths mostly involve a relay via 5E, and to a lesser extent 2/3E and the 4E→2/3E pattern. Similarly, connections from late to high-type areas are mostly forwarded by the 5E population only.”
They should read:
“In intermediate areas, the shortest paths pass through a single population. From high-type to low-type areas, these paths involve populations 2/3E and 5E about equally. Indirect, horizontal paths mostly involve a relay via 5E, and to a lesser extent 2/3E. Similarly, connections from low-type to high-type areas are mostly forwarded by the 5E population only.”
-
Furthermore, we would like to correct two numbers in the main text. In the Results section, we write:
“CoCoMac provides a binary connectivity matrix with a density of 45% (Fig. 4a). Markov et al. (2014) quantitatively measured connection densities and found a number of previously unknown connections (Fig. 4b) leading to a total of 62% of all pairs of areas being connected.”
These percentages include some self-connections. The correct numbers without self-connections are 44% and 59% of all disjoint area pairs, respectively. The correct sentence therefore reads:
“CoCoMac provides a binary connectivity matrix with a density of 44% (Fig. 4a). Markov et al. (2014) quantitatively measured connection densities and found a number of previously unknown connections (Fig. 4b) leading to a total of 59% of all pairs of areas being connected.”
Finally, the order of the areas in supplementary Fig. S3 was unfortunately incorrect, so that the labels did not match the shown connectivity. We include the figure with the correct ordering of the areas below.
Python code reproducing all results and figures of this work is available from https://inm-6.github.io/multi-area-model/.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- Ascoli GA, Donohue DE, Halavi M. NeuroMorpho.org: a central resource for neuronal morphologies. J Neurosci. 2007;27(35):9247–9251. doi: 10.1523/JNEUROSCI.2055-07.2007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Barnes CL, Pandya DN. Efferent cortical connections of multimodal cortex of the superior temporal sulcus in the rhesus monkey. J Comp Neurol. 1992;318(2):222–244. doi: 10.1002/cne.903180207. [DOI] [PubMed] [Google Scholar]
- Felleman DJ, Van Essen DC. Distributed hierarchical processing in the primate cerebral cortex. Cereb Cortex. 1991;1:1–47. doi: 10.1093/cercor/1.1.1. [DOI] [PubMed] [Google Scholar]
- Hilgetag CC, Medalla M, Beul SF, Barbas H. The primate connectome in context: principles of connections of the cortical visual system. NeuroImage. 2016;134:685–702. doi: 10.1016/j.neuroimage.2016.04.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mainen ZF, Sejnowski TJ. Influence of dendritic structure on firing pattern in model neocortical neurons. Nature. 1996;382(6589):363–366. doi: 10.1038/382363a0. [DOI] [PubMed] [Google Scholar]
- Markov NT, Vezoli J, Chameau P, Falchier A, Quilodran R, Huissoud C, Lamy C, Misery P, Giroud P, Ullman S, Barone P, Dehay C, Knoblauch K, Kennedy H. Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex. J Comp Neurol. 2014;522(1):225–259. doi: 10.1002/cne.23458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morel A, Bullier J. Anatomical segregation of two cortical visual pathways in the macaque monkey. Vis Neurosci. 1990;4(06):555–578. doi: 10.1017/S0952523800005769. [DOI] [PubMed] [Google Scholar]
- Perkel DJ, Bullier J, Kennedy H. Topography of the afferent connectivity of area 17 in the macaque monkey: a double-labelling study. J Comp Neurol. 1986;253(3):374–402. doi: 10.1002/cne.902530307. [DOI] [PubMed] [Google Scholar]
- Seltzer B, Pandya DN. Parietal, temporal, and occipita projections to cortex of the superior temporal sulcus in the rhesus monkey: a retrograde tracer study. J Comp Neurol. 1994;343(3):445–463. doi: 10.1002/cne.903430308. [DOI] [PubMed] [Google Scholar]
- Suzuki WL, Amaral DG. Perirhinal and parahippocampal cortices of the macaque monkey: cortical afferents. J Comp Neurol. 1994;350(4):497–533. doi: 10.1002/cne.903500402. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.