Pub Date : 2026-02-05DOI: 10.1038/s41593-026-02222-2
Siling Du, Khai M Nguyen, Alina Ulezko Antonova, Jose L Fachi, Patrick Fernandes Rodrigues, Alice Verdiani, Martina Molgora, Igor Smirnov, Jasmin Herz, Tornike Mamuladze, Jennifer Ponce, Amanda Swain, Mattia Bugatti, Susan Gilfillan, Marina Cella, William Vermi, Jonathan Kipnis, Marco Colonna, Simone Brioschi
{"title":"Publisher Correction: Diversity and immune dynamics of choroid plexus macrophages are shaped by distinct developmental origins.","authors":"Siling Du, Khai M Nguyen, Alina Ulezko Antonova, Jose L Fachi, Patrick Fernandes Rodrigues, Alice Verdiani, Martina Molgora, Igor Smirnov, Jasmin Herz, Tornike Mamuladze, Jennifer Ponce, Amanda Swain, Mattia Bugatti, Susan Gilfillan, Marina Cella, William Vermi, Jonathan Kipnis, Marco Colonna, Simone Brioschi","doi":"10.1038/s41593-026-02222-2","DOIUrl":"10.1038/s41593-026-02222-2","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":" ","pages":""},"PeriodicalIF":20.0,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146125913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-04DOI: 10.1038/s41593-025-02183-y
Albert J. Wakhloo, Will Slatton, SueYeon Chung
Animals can recognize latent structures in their environment and apply this information to efficiently navigate the world. Several works argue that the brain supports these abilities by forming neural representations from which behaviorally relevant variables can be read out across contexts and tasks. However, it is unclear which features of neural activity facilitate downstream readout. Here we analytically determine the geometric properties of neural activity that govern linear readout generalization on a set of tasks sharing a common latent structure. We show that four statistics summarizing the dimensionality, factorization and correlation structures of neural activity determine generalization. Early in learning, optimal neural representations are lower dimensional and exhibit higher correlations between single units and task variables than late in learning. We support these predictions through biological and artificial neural data analysis. Our results tie the linearly decodable information in neural population activity to its geometry.
{"title":"Neural population geometry and optimal coding of tasks with shared latent structure","authors":"Albert J. Wakhloo, Will Slatton, SueYeon Chung","doi":"10.1038/s41593-025-02183-y","DOIUrl":"https://doi.org/10.1038/s41593-025-02183-y","url":null,"abstract":"Animals can recognize latent structures in their environment and apply this information to efficiently navigate the world. Several works argue that the brain supports these abilities by forming neural representations from which behaviorally relevant variables can be read out across contexts and tasks. However, it is unclear which features of neural activity facilitate downstream readout. Here we analytically determine the geometric properties of neural activity that govern linear readout generalization on a set of tasks sharing a common latent structure. We show that four statistics summarizing the dimensionality, factorization and correlation structures of neural activity determine generalization. Early in learning, optimal neural representations are lower dimensional and exhibit higher correlations between single units and task variables than late in learning. We support these predictions through biological and artificial neural data analysis. Our results tie the linearly decodable information in neural population activity to its geometry.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"23 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2026-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146116263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1038/s41593-025-02198-5
{"title":"Studying infant vision in the scanner and in silico reveals the richness of early brain function.","authors":"","doi":"10.1038/s41593-025-02198-5","DOIUrl":"https://doi.org/10.1038/s41593-025-02198-5","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":" ","pages":""},"PeriodicalIF":20.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146106342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-02DOI: 10.1038/s41593-025-02187-8
Cliona O’Doherty, Áine T. Dineen, Anna Truzzi, Graham King, Lorijn Zaadnoordijk, Keelin Harrison, Enna-Louise D’Arcy, Jessica White, Chiara Caldinelli, Tamrin Holloway, Anna Kravchenko, Jörn Diedrichsen, Ailbhe Tarrant, Angela T. Byrne, Adrienne Foran, Eleanor J. Molloy, Rhodri Cusack
What are the foundations of visual categories in the human brain? Although infant looking behavior characterizes the development of overt categorization, it cannot measure neural representation or distinguish the underlying mechanism. For this, we need rich neuroimaging from young infants and the capacity to apply advanced computational models of vision. In this study, we conducted an awake functional magnetic resonance imaging (fMRI) study of more than 100 2-month-old infants, with follow-ups at 9 months, finding that categorical structure is present in high-level visual cortex from 2 months of age. This precedes its emergence in lateral visual cortex, suggesting non-hierarchical development of category representations. A deep neural network model aligned with infants’ representational geometry, indicating that the features comprising infants’ category template span a range of complexities and can be learned from the statistics of visual input. Our results reveal the existence of complex function in ventral visual cortex at 2 months of age and describe the early development of category perception.
{"title":"Infants have rich visual categories in ventrotemporal cortex at 2 months of age","authors":"Cliona O’Doherty, Áine T. Dineen, Anna Truzzi, Graham King, Lorijn Zaadnoordijk, Keelin Harrison, Enna-Louise D’Arcy, Jessica White, Chiara Caldinelli, Tamrin Holloway, Anna Kravchenko, Jörn Diedrichsen, Ailbhe Tarrant, Angela T. Byrne, Adrienne Foran, Eleanor J. Molloy, Rhodri Cusack","doi":"10.1038/s41593-025-02187-8","DOIUrl":"https://doi.org/10.1038/s41593-025-02187-8","url":null,"abstract":"What are the foundations of visual categories in the human brain? Although infant looking behavior characterizes the development of overt categorization, it cannot measure neural representation or distinguish the underlying mechanism. For this, we need rich neuroimaging from young infants and the capacity to apply advanced computational models of vision. In this study, we conducted an awake functional magnetic resonance imaging (fMRI) study of more than 100 2-month-old infants, with follow-ups at 9 months, finding that categorical structure is present in high-level visual cortex from 2 months of age. This precedes its emergence in lateral visual cortex, suggesting non-hierarchical development of category representations. A deep neural network model aligned with infants’ representational geometry, indicating that the features comprising infants’ category template span a range of complexities and can be learned from the statistics of visual input. Our results reveal the existence of complex function in ventral visual cortex at 2 months of age and describe the early development of category perception.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"30 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2026-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146102124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-29DOI: 10.1038/s41593-025-02195-8
Yi Li, Xu An, Patrick J Mulcahey, Yongjun Qian, X Hermione Xu, Shengli Zhao, Hemanth Mohan, Shreyas M Suryanarayana, Ludovica Bachschmid-Romano, Nicolas Brunel, Ian Q Whishaw, Z Josh Huang
The coordination of forelimb and orofacial movements to compose an ethological reach-to-consume behavior likely involves neural communication across brain regions. Leveraging wide-field imaging and photoinhibition to survey across the cortex, we identified a cortical network and a high-order motor area (the central region of the secondary motor cortex (MOs-c)), which coordinate action progression in a mouse reach-and-withdraw-to-drink (RWD) behavior. Electrophysiology and photoinhibition across multiple projection neuron types within the MOs-c revealed differential contributions of pyramidal tract and corticothalamic (CTMOs) output channels to action progression and hand-mouth coordination. Notably, CTMOs display sustained firing throughout RWD actions and selectively enhance RWD-relevant activity in postsynaptic thalamus neurons, which also contribute to action coordination. CTMOs receive converging monosynaptic inputs from forelimb and orofacial sensorimotor areas and are reciprocally connected to thalamic neurons, which project back to the cortical network. Therefore, the motor cortex CT channel may selectively amplify the thalamic integration of cortical and subcortical sensorimotor streams to coordinate a skilled motor behavior.
{"title":"Corticothalamic communication for action coordination in a skilled motor behavior.","authors":"Yi Li, Xu An, Patrick J Mulcahey, Yongjun Qian, X Hermione Xu, Shengli Zhao, Hemanth Mohan, Shreyas M Suryanarayana, Ludovica Bachschmid-Romano, Nicolas Brunel, Ian Q Whishaw, Z Josh Huang","doi":"10.1038/s41593-025-02195-8","DOIUrl":"10.1038/s41593-025-02195-8","url":null,"abstract":"<p><p>The coordination of forelimb and orofacial movements to compose an ethological reach-to-consume behavior likely involves neural communication across brain regions. Leveraging wide-field imaging and photoinhibition to survey across the cortex, we identified a cortical network and a high-order motor area (the central region of the secondary motor cortex (MOs-c)), which coordinate action progression in a mouse reach-and-withdraw-to-drink (RWD) behavior. Electrophysiology and photoinhibition across multiple projection neuron types within the MOs-c revealed differential contributions of pyramidal tract and corticothalamic (CT<sup>MOs</sup>) output channels to action progression and hand-mouth coordination. Notably, CT<sup>MOs</sup> display sustained firing throughout RWD actions and selectively enhance RWD-relevant activity in postsynaptic thalamus neurons, which also contribute to action coordination. CT<sup>MOs</sup> receive converging monosynaptic inputs from forelimb and orofacial sensorimotor areas and are reciprocally connected to thalamic neurons, which project back to the cortical network. Therefore, the motor cortex CT channel may selectively amplify the thalamic integration of cortical and subcortical sensorimotor streams to coordinate a skilled motor behavior.</p>","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":" ","pages":""},"PeriodicalIF":20.0,"publicationDate":"2026-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146086668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-21DOI: 10.1038/s41593-025-02158-z
Siling Du, Khai M. Nguyen, Alina Ulezko Antonova, Jose L. Fachi, Patrick Fernandes Rodrigues, Alice Verdiani, Martina Molgora, Igor Smirnov, Jasmin Herz, Tornike Mamuladze, Jennifer Ponce, Amanda Swain, Mattia Bugatti, Susan Gilfillan, Marina Cella, William Vermi, Jonathan Kipnis, Marco Colonna, Simone Brioschi
The choroid plexus forms a key barrier and signaling interface between the brain and peripheral circulation, yet its immune landscape remains incompletely understood. Using single-cell transcriptomics combined with lineage and spatial tracing methods, we identified three biologically distinct populations of choroid plexus macrophages, defined by differential expression of CD163, MHCII or CD9. These subsets arise from separate hematopoietic waves, occupy distinct anatomical niches and differentially rely on CSF1 and IL-34 for survival. We found that TGFβ signaling is essential to maintain their tissue-specific identities, and deletion of Tgfbr2 in these cells induces broad phenotypic reprogramming. During neuroinflammation, choroid plexus macrophages mount type I interferon responses and secrete chemokines that recruit CD8+ T cells. Finally, analysis of human choroid plexus reveals macrophage subsets corresponding to those found in mice, indicating evolutionary conservation of their molecular and immune features. Together, these findings define the developmental origin, niche specialization and immune dynamics of choroid plexus macrophages.
{"title":"Diversity and immune dynamics of choroid plexus macrophages are shaped by distinct developmental origins","authors":"Siling Du, Khai M. Nguyen, Alina Ulezko Antonova, Jose L. Fachi, Patrick Fernandes Rodrigues, Alice Verdiani, Martina Molgora, Igor Smirnov, Jasmin Herz, Tornike Mamuladze, Jennifer Ponce, Amanda Swain, Mattia Bugatti, Susan Gilfillan, Marina Cella, William Vermi, Jonathan Kipnis, Marco Colonna, Simone Brioschi","doi":"10.1038/s41593-025-02158-z","DOIUrl":"https://doi.org/10.1038/s41593-025-02158-z","url":null,"abstract":"The choroid plexus forms a key barrier and signaling interface between the brain and peripheral circulation, yet its immune landscape remains incompletely understood. Using single-cell transcriptomics combined with lineage and spatial tracing methods, we identified three biologically distinct populations of choroid plexus macrophages, defined by differential expression of CD163, MHCII or CD9. These subsets arise from separate hematopoietic waves, occupy distinct anatomical niches and differentially rely on CSF1 and IL-34 for survival. We found that TGFβ signaling is essential to maintain their tissue-specific identities, and deletion of Tgfbr2 in these cells induces broad phenotypic reprogramming. During neuroinflammation, choroid plexus macrophages mount type I interferon responses and secrete chemokines that recruit CD8+ T cells. Finally, analysis of human choroid plexus reveals macrophage subsets corresponding to those found in mice, indicating evolutionary conservation of their molecular and immune features. Together, these findings define the developmental origin, niche specialization and immune dynamics of choroid plexus macrophages.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"94 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2026-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006263","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-20DOI: 10.1038/s41593-025-02190-z
Pierre Le Merre, Katharina Heining, Marina Slashcheva, Felix Jung, Eleni Moysiadou, Nicolas Guyon, Ram Yahya, Hyunsoo Park, Fredrik Wernstal, Marie Carlén
The intrinsic organization underlying the central cognitive role of the prefrontal cortex (PFC) is poorly understood. We approached organization by profiling the activity and spatial location of >24,000 neurons recorded in awake mice. High-resolution activity maps of the PFC did not align with cytoarchitecturally defined subregions. Instead, spontaneous activity and tuning to choice during a behavioral task were both related to intra-PFC hierarchy, suggesting that connectivity, rather than cytoarchitecture, shapes the PFC’s activity landscape. Low-rate, regular spontaneous firing was a hallmark of both the PFC and high hierarchy. Surprisingly, choice tuning was overrepresented in units displaying high spontaneous firing rates, linking connectivity-based hierarchy to distinct functional properties in separate neuronal populations. Our data-driven approach provides a scalable roadmap to explore functional organizations in diverse brain regions and species, opening avenues to obtain an integrated view of activity, structure and function in the brain.
{"title":"A prefrontal cortex map based on single-neuron activity","authors":"Pierre Le Merre, Katharina Heining, Marina Slashcheva, Felix Jung, Eleni Moysiadou, Nicolas Guyon, Ram Yahya, Hyunsoo Park, Fredrik Wernstal, Marie Carlén","doi":"10.1038/s41593-025-02190-z","DOIUrl":"https://doi.org/10.1038/s41593-025-02190-z","url":null,"abstract":"The intrinsic organization underlying the central cognitive role of the prefrontal cortex (PFC) is poorly understood. We approached organization by profiling the activity and spatial location of >24,000 neurons recorded in awake mice. High-resolution activity maps of the PFC did not align with cytoarchitecturally defined subregions. Instead, spontaneous activity and tuning to choice during a behavioral task were both related to intra-PFC hierarchy, suggesting that connectivity, rather than cytoarchitecture, shapes the PFC’s activity landscape. Low-rate, regular spontaneous firing was a hallmark of both the PFC and high hierarchy. Surprisingly, choice tuning was overrepresented in units displaying high spontaneous firing rates, linking connectivity-based hierarchy to distinct functional properties in separate neuronal populations. Our data-driven approach provides a scalable roadmap to explore functional organizations in diverse brain regions and species, opening avenues to obtain an integrated view of activity, structure and function in the brain.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"6 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1038/s41593-026-02203-5
Ya’el Courtney, Joshua P. Head, Neil Dani, Olga V. Chechneva, Frederick B. Shipley, Yong Zhang, Michael J. Holtzman, Cameron Sadegh, Towia A. Libermann, Maria K. Lehtinen
{"title":"Author Correction: Choroid plexus apocrine secretion shapes CSF proteome during mouse brain development","authors":"Ya’el Courtney, Joshua P. Head, Neil Dani, Olga V. Chechneva, Frederick B. Shipley, Yong Zhang, Michael J. Holtzman, Cameron Sadegh, Towia A. Libermann, Maria K. Lehtinen","doi":"10.1038/s41593-026-02203-5","DOIUrl":"10.1038/s41593-026-02203-5","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"29 2","pages":"510-510"},"PeriodicalIF":20.0,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.comhttps://www.nature.com/articles/s41593-026-02203-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145990047","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-15DOI: 10.1038/s41593-025-02196-7
Martijn P. van den Heuvel, Ilan Libedinsky, Sebastian Quiroz Monnens, Jonathan Repple, Iris Sommer, Luca Cocchi
Lesion network mapping (LNM) is a neuroimaging framework that uses normative functional connectivity (FC) data to link heterogeneous brain lesions and functional alterations to brain networks implicated in neurological and psychiatric conditions. However, many of the networks identified by LNM and related methods appear to be highly similar across diverse conditions such as addiction, depression, psychosis and epilepsy. To understand this similarity, we re-examined the data from multiple LNM studies and assessed the methodological roots of the method. Our findings reveal a foundational limitation: at its core, LNM involves a repetitive sampling of one and the same FC matrix. As a result, it systematically maps sets of local brain changes—whether they are patient lesions, magnetic resonance imaging-derived alterations, synthetic or random—onto the same nonspecific properties of the used FC data, producing highly similar networks across conditions. This central limitation cautions the use of LNM as a method for studying distinct biological networks underlying brain disorders. Our work may aid the development of a new generation of network-mapping methods from first principles.
{"title":"Investigating the methodological foundation of lesion network mapping","authors":"Martijn P. van den Heuvel, Ilan Libedinsky, Sebastian Quiroz Monnens, Jonathan Repple, Iris Sommer, Luca Cocchi","doi":"10.1038/s41593-025-02196-7","DOIUrl":"https://doi.org/10.1038/s41593-025-02196-7","url":null,"abstract":"Lesion network mapping (LNM) is a neuroimaging framework that uses normative functional connectivity (FC) data to link heterogeneous brain lesions and functional alterations to brain networks implicated in neurological and psychiatric conditions. However, many of the networks identified by LNM and related methods appear to be highly similar across diverse conditions such as addiction, depression, psychosis and epilepsy. To understand this similarity, we re-examined the data from multiple LNM studies and assessed the methodological roots of the method. Our findings reveal a foundational limitation: at its core, LNM involves a repetitive sampling of one and the same FC matrix. As a result, it systematically maps sets of local brain changes—whether they are patient lesions, magnetic resonance imaging-derived alterations, synthetic or random—onto the same nonspecific properties of the used FC data, producing highly similar networks across conditions. This central limitation cautions the use of LNM as a method for studying distinct biological networks underlying brain disorders. Our work may aid the development of a new generation of network-mapping methods from first principles.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"33 1","pages":""},"PeriodicalIF":25.0,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145968746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-08DOI: 10.1038/s41593-025-02191-y
Abnormally located cortical neurons, displaced in developing mice lacking cortical Eml1, retain their molecular identities, form appropriate connections and build functional sensory maps. Most strikingly, these misplaced neurons can drive behavior by themselves — showing that brain function depends on how neurons connect, and to what, more than where they live.
{"title":"Rethinking the role of position in cortical function","authors":"","doi":"10.1038/s41593-025-02191-y","DOIUrl":"10.1038/s41593-025-02191-y","url":null,"abstract":"Abnormally located cortical neurons, displaced in developing mice lacking cortical Eml1, retain their molecular identities, form appropriate connections and build functional sensory maps. Most strikingly, these misplaced neurons can drive behavior by themselves — showing that brain function depends on how neurons connect, and to what, more than where they live.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"29 2","pages":"250-251"},"PeriodicalIF":20.0,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145934490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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