Academic Journal
Structure Guides Function: Beyond Pairwise Neural Interactions.
| Τίτλος: | Structure Guides Function: Beyond Pairwise Neural Interactions. |
|---|---|
| Συγγραφείς: | Maier A; Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA. |
| Πηγή: | The Journal of comparative neurology [J Comp Neurol] 2026 Oct; Vol. 534 (10), pp. e70213. |
| Τύπος έκδοσης: | Journal Article; Review |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley-Liss Country of Publication: United States NLM ID: 0406041 Publication Model: Print Cited Medium: Internet ISSN: 1096-9861 (Electronic) Linking ISSN: 00219967 NLM ISO Abbreviation: J Comp Neurol Subsets: MEDLINE |
| Imprint Name(s): | Publication: <2003-> : Hoboken, N.J. : Wiley-Liss Original Publication: Philadelphia Wistar Institute of Anatomy and Biology |
| Ιατρικοί όροι (MeSH): | Brain*/physiology , Brain*/anatomy & histology , Brain*/cytology , Neurons*/physiology , Nerve Net*/physiology , Models, Neurological*, Animals ; Humans |
| Περίληψη: | A central theme in Jon Kaas' research, celebrated in this issue, is the relationship between brain structure and function. As a tribute, we examine how certain neuroanatomical structures enable higher order (higher arity) functions whose joint effects cannot be recovered from pairwise measurements. Specifically, we argue that neurons exploit coincident input detection to realize higher order operations that cannot be derived by studying any of the pairwise combinations in isolation. Pairwise statistics can miss these irreducible higher order (more-than-pairwise) effects. We advocate for an extension of graph-based models to hypergraphs to formally capture and analyze these irreducible higher order neural interactions. Based on several recent studies, we discuss both the applicability and benefits of higher order neural data analyses. (© 2026 The Author(s). The Journal of Comparative Neurology published by Wiley Periodicals LLC.) |
| References: | Aertsen, A. M., G. L. Gerstein, M. K. Habib, and G. Palm. 1989. “Dynamics of Neuronal Firing Correlation: Modulation of "Effective Connectivity".” Journal of Neurophysiology 61, no. 5: 900–917. Aizenbud, I., N. Audette, R. Auksztulewicz, et al. 2025. “Neural Mechanisms of Predictive Processing: A Collaborative Community Experiment through the OpenScope Program.” arXiv. https://arxiv.org/abs/2504.09614. Allman, J. M., and J. H. Kaas. 1971. “A Representation of the Visual Field in the Caudal Third of the Middle Temporal Gyrus of the Owl Monkey (Aotus trivirgatus).” Brain Research 31, no. 1: 85–105. Allman, J. M., and J. H. Kass. 1975. “The Dorsomedial Cortical Visual Area: A Third Tier Area in the Occipital Lobe of the Owl Monkey (Aotus trivirgatus).” Brain Research 100, no. 3: 473–487. Alonso, J. M., W. M. Usrey, and R. C. Reid. 1996. “Precisely Correlated Firing in Cells of the Lateral Geniculate Nucleus.” Nature 383, no. 6603: 815–819. Battiston, F., E. Amico, A. Barrat, et al. 2021. “The Physics of Higher‐Order Interactions in Complex Systems.” Nature Physics 17, no. 10: 1093–1098. Battiston, F., V. Capraro, F. Karimi, et al. 2025. “Higher‐Order Interactions Shape Collective Human Behaviour.” Nature Human Behaviour 9, no. 12: 2441–2457. Battiston, F., G. Cencetti, I. Iacopini, et al. 2020. “Networks Beyond Pairwise Interactions: Structure and Dynamics.” Physics Reports 874, no. August: 1–92. Bianconi, G. 2021. “Higher‐Order Networks: An Introduction to Simplicial Complexes.” In Elements in Structure and Dynamics of Complex Networks. Cambridge University Press. Bianconi, G., and S. N. Dorogovtsev. 2024. “Theory of Percolation on Hypergraphs.” Physical Review E 109, no. 1–1: 014306. Bick, C., E. Gross, H. A. Harrington, and M. T. Schaub. 2023. “What Are Higher‐Order Networks?” SIAM Review ‐ Society for Industrial and Applied Mathematics 65, no. 3: 686–731. Biswal, B., F. Zerrin Yetkin, V. M. Haughton, and J. S. Hyde. 1995. “Functional Connectivity in the Motor Cortex of Resting Human Brain Using Echo‐Planar MRI.” Magnetic Resonance in Medicine 34, no. 4: 537–541. Boccaletti, S., P. De Lellis, C. I. del Genio, et al. 2023. “The Structure and Dynamics of Networks With Higher Order Interactions.” Physics Reports 1018, no. May: 1–64. Brenner, N., S. P. Strong, R. Koberle, W. Bialek, and R. R. D.e R. V. Steveninck. 2000. “Synergy in a Neural Code.” Neural Computation 12, no. 7: 1531–1552. Bullmore, E., and O. Sporns. 2009. “Complex Brain Networks: Graph Theoretical Analysis of Structural and Functional Systems.” Nature Reviews Neuroscience 10, no. 3: 186–198. Camino‐Pontes, B., A. Jimenez‐Marin, I. Tellaetxe‐Elorriaga, et al. 2025. “Brain Structural Modules Associated to Functional High‐Order Interactions in the Human Brain.” BioRxiv. https://www.biorxiv.org/content/10.1101/2025.03.21.644509v2.full.pdf. Chodrow, P. 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| Contributed Indexing: | Keywords: higher arity; higher order; hypergraphs; neuronal information processing |
| Entry Date(s): | Date Created: 20261001 Date Completed: 20261001 Latest Revision: 20261001 |
| Update Code: | 20261001 |
| DOI: | 10.1002/cne.70213 |
| PMID: | 42817206 |
| Βάση Δεδομένων: | MEDLINE |
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| Items | – Name: Title Label: Title Group: Ti Data: Structure Guides Function: Beyond Pairwise Neural Interactions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Maier+A%22">Maier A</searchLink>; Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%220406041%22">The Journal of comparative neurology</searchLink> [J Comp Neurol] 2026 Oct; Vol. 534 (10), pp. e70213. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: Language Label: Language Group: Lang Data: English – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Liss%22">Wiley-Liss </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0406041 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-9861 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200219967%22">00219967 </searchLink><i>NLM ISO Abbreviation: </i>J Comp Neurol <i>Subsets: </i>MEDLINE – Name: PublisherInfo Label: Imprint Name(s) Group: PubInfo Data: <i>Publication</i>: <2003-> : Hoboken, N.J. : Wiley-Liss<br /><i>Original Publication</i>: Philadelphia Wistar Institute of Anatomy and Biology – Name: SubjectMESH Label: MeSH Terms Group: Su Data: <searchLink fieldCode="MM" term="%22Brain%22">Brain*</searchLink>/<searchLink fieldCode="MM" term="%22Brain+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Brain%22">Brain*</searchLink>/<searchLink fieldCode="MM" term="%22Brain+anatomy+%26+histology%22">anatomy & histology</searchLink> <br /><searchLink fieldCode="MM" term="%22Brain%22">Brain*</searchLink>/<searchLink fieldCode="MM" term="%22Brain+cytology%22">cytology</searchLink> <br /><searchLink fieldCode="MM" term="%22Neurons%22">Neurons*</searchLink>/<searchLink fieldCode="MM" term="%22Neurons+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Nerve+Net%22">Nerve Net*</searchLink>/<searchLink fieldCode="MM" term="%22Nerve+Net+physiology%22">physiology</searchLink> <br /><searchLink fieldCode="MM" term="%22Models%2C+Neurological%22">Models, Neurological*</searchLink><br /><searchLink fieldCode="MH" term="%22Animals%22">Animals</searchLink> ; <searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A central theme in Jon Kaas' research, celebrated in this issue, is the relationship between brain structure and function. As a tribute, we examine how certain neuroanatomical structures enable higher order (higher arity) functions whose joint effects cannot be recovered from pairwise measurements. Specifically, we argue that neurons exploit coincident input detection to realize higher order operations that cannot be derived by studying any of the pairwise combinations in isolation. Pairwise statistics can miss these irreducible higher order (more-than-pairwise) effects. We advocate for an extension of graph-based models to hypergraphs to formally capture and analyze these irreducible higher order neural interactions. Based on several recent studies, we discuss both the applicability and benefits of higher order neural data analyses.<br /> (© 2026 The Author(s). The Journal of Comparative Neurology published by Wiley Periodicals LLC.) – Name: Ref Label: References Group: RefInfo Data: Aertsen, A. M., G. L. Gerstein, M. K. Habib, and G. Palm. 1989. “Dynamics of Neuronal Firing Correlation: Modulation of "Effective Connectivity".” Journal of Neurophysiology 61, no. 5: 900–917.<br />Aizenbud, I., N. Audette, R. Auksztulewicz, et al. 2025. “Neural Mechanisms of Predictive Processing: A Collaborative Community Experiment through the OpenScope Program.” arXiv. https://arxiv.org/abs/2504.09614.<br />Allman, J. M., and J. H. Kaas. 1971. “A Representation of the Visual Field in the Caudal Third of the Middle Temporal Gyrus of the Owl Monkey (Aotus trivirgatus).” Brain Research 31, no. 1: 85–105.<br />Allman, J. M., and J. H. Kass. 1975. “The Dorsomedial Cortical Visual Area: A Third Tier Area in the Occipital Lobe of the Owl Monkey (Aotus trivirgatus).” Brain Research 100, no. 3: 473–487.<br />Alonso, J. M., W. M. Usrey, and R. C. Reid. 1996. “Precisely Correlated Firing in Cells of the Lateral Geniculate Nucleus.” Nature 383, no. 6603: 815–819.<br />Battiston, F., E. Amico, A. 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