Pub Date : 2024-06-19DOI: 10.1038/s41593-024-01671-x
Heiko H. Schütt, Dongjae Kim, Wei Ji Ma
We use efficient coding principles borrowed from sensory neuroscience to derive the optimal neural population to encode a reward distribution. We show that the responses of dopaminergic reward prediction error neurons in mouse and macaque are similar to those of the efficient code in the following ways: the neurons have a broad distribution of midpoints covering the reward distribution; neurons with higher thresholds have higher gains, more convex tuning functions and lower slopes; and their slope is higher when the reward distribution is narrower. Furthermore, we derive learning rules that converge to the efficient code. The learning rule for the position of the neuron on the reward axis closely resembles distributional reinforcement learning. Thus, reward prediction error neuron responses may be optimized to broadcast an efficient reward signal, forming a connection between efficient coding and reinforcement learning, two of the most successful theories in computational neuroscience. This theoretical study shows that dopaminergic reward prediction error neurons encode experienced rewards efficiently, which explains four major aspects of the neural population. This efficient code can be learned with local updates for each neuron.
{"title":"Reward prediction error neurons implement an efficient code for reward","authors":"Heiko H. Schütt, Dongjae Kim, Wei Ji Ma","doi":"10.1038/s41593-024-01671-x","DOIUrl":"10.1038/s41593-024-01671-x","url":null,"abstract":"We use efficient coding principles borrowed from sensory neuroscience to derive the optimal neural population to encode a reward distribution. We show that the responses of dopaminergic reward prediction error neurons in mouse and macaque are similar to those of the efficient code in the following ways: the neurons have a broad distribution of midpoints covering the reward distribution; neurons with higher thresholds have higher gains, more convex tuning functions and lower slopes; and their slope is higher when the reward distribution is narrower. Furthermore, we derive learning rules that converge to the efficient code. The learning rule for the position of the neuron on the reward axis closely resembles distributional reinforcement learning. Thus, reward prediction error neuron responses may be optimized to broadcast an efficient reward signal, forming a connection between efficient coding and reinforcement learning, two of the most successful theories in computational neuroscience. This theoretical study shows that dopaminergic reward prediction error neurons encode experienced rewards efficiently, which explains four major aspects of the neural population. This efficient code can be learned with local updates for each neuron.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141425344","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 : 2024-06-14DOI: 10.1038/s41593-024-01698-0
Andawei Miao, Tianyuan Luo, Bryan Hsieh, Christopher J. Edge, Morgan Gridley, Ryan Tak Chun Wong, Timothy G. Constandinou, William Wisden, Nicholas P. Franks
{"title":"Author Correction: Brain clearance is reduced during sleep and anesthesia","authors":"Andawei Miao, Tianyuan Luo, Bryan Hsieh, Christopher J. Edge, Morgan Gridley, Ryan Tak Chun Wong, Timothy G. Constandinou, William Wisden, Nicholas P. Franks","doi":"10.1038/s41593-024-01698-0","DOIUrl":"10.1038/s41593-024-01698-0","url":null,"abstract":"","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11239483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141321288","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 : 2024-06-14DOI: 10.1038/s41593-024-01683-7
Erin R. Bigus, Hyun-Woo Lee, John C. Bowler, Jiani Shi, James G. Heys
Episodic memory requires encoding the temporal structure of experience and relies on brain circuits in the medial temporal lobe, including the medial entorhinal cortex (MEC). Recent studies have identified MEC ‘time cells’, which fire at specific moments during interval timing tasks, collectively tiling the entire timing period. It has been hypothesized that MEC time cells could provide temporal information necessary for episodic memories, yet it remains unknown whether they display learning dynamics required for encoding different temporal contexts. To explore this, we developed a new behavioral paradigm requiring mice to distinguish temporal contexts. Combined with methods for cellular resolution calcium imaging, we found that MEC time cells display context-dependent neural activity that emerges with task learning. Through chemogenetic inactivation we found that MEC activity is necessary for learning of context-dependent interval timing behavior. Finally, we found evidence of a common circuit mechanism that could drive sequential activity of both time cells and spatially selective neurons in MEC. Our work suggests that the clock-like firing of MEC time cells can be modulated by learning, allowing the tracking of various temporal structures that emerge through experience. The authors examine the role of medial entorhinal cortex (MEC) in learning complex timing behavior. MEC inactivation disrupts task learning, and MEC time cells display context-dependent dynamics that evolve over learning and predict timing behavior.
{"title":"Medial entorhinal cortex mediates learning of context-dependent interval timing behavior","authors":"Erin R. Bigus, Hyun-Woo Lee, John C. Bowler, Jiani Shi, James G. Heys","doi":"10.1038/s41593-024-01683-7","DOIUrl":"10.1038/s41593-024-01683-7","url":null,"abstract":"Episodic memory requires encoding the temporal structure of experience and relies on brain circuits in the medial temporal lobe, including the medial entorhinal cortex (MEC). Recent studies have identified MEC ‘time cells’, which fire at specific moments during interval timing tasks, collectively tiling the entire timing period. It has been hypothesized that MEC time cells could provide temporal information necessary for episodic memories, yet it remains unknown whether they display learning dynamics required for encoding different temporal contexts. To explore this, we developed a new behavioral paradigm requiring mice to distinguish temporal contexts. Combined with methods for cellular resolution calcium imaging, we found that MEC time cells display context-dependent neural activity that emerges with task learning. Through chemogenetic inactivation we found that MEC activity is necessary for learning of context-dependent interval timing behavior. Finally, we found evidence of a common circuit mechanism that could drive sequential activity of both time cells and spatially selective neurons in MEC. Our work suggests that the clock-like firing of MEC time cells can be modulated by learning, allowing the tracking of various temporal structures that emerge through experience. The authors examine the role of medial entorhinal cortex (MEC) in learning complex timing behavior. MEC inactivation disrupts task learning, and MEC time cells display context-dependent dynamics that evolve over learning and predict timing behavior.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141319990","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 : 2024-06-13DOI: 10.1038/s41593-024-01676-6
Marios Abatis, Rodrigo Perin, Ruifang Niu, Erwin van den Burg, Chloe Hegoburu, Ryang Kim, Michiko Okamura, Haruhiko Bito, Henry Markram, Ron Stoop
The lateral amygdala (LA) encodes fear memories by potentiating sensory inputs associated with threats and, in the process, recruits 10–30% of its neurons per fear memory engram. However, how the local network within the LA processes this information and whether it also plays a role in storing it are still largely unknown. Here, using ex vivo 12-patch-clamp and in vivo 32-electrode electrophysiological recordings in the LA of fear-conditioned rats, in combination with activity-dependent fluorescent and optogenetic tagging and recall, we identified a sparsely connected network between principal LA neurons that is organized in clusters. Fear conditioning specifically causes potentiation of synaptic connections between learning-recruited neurons. These findings of synaptic plasticity in an autoassociative excitatory network of the LA may suggest a basic principle through which a small number of pyramidal neurons could encode a large number of memories. A sparsely connected network, organized in clusters, identified in the rat lateral amygdala shows potentiation between recruited neurons after fear conditioning. This implies a mechanism for encoding multiple memories with a small number of neurons.
外侧杏仁核（LA）通过增强与威胁相关的感觉输入来编码恐惧记忆，在此过程中，每个恐惧记忆片段会招募 10-30% 的神经元。然而，LA 内部的局部网络是如何处理这些信息的，以及它是否也在存储这些信息方面发挥作用，这些问题在很大程度上仍是未知数。在这里，我们使用体外 12 片钳和体内 32 个电极对恐惧条件反射大鼠的 LA 进行电生理记录，并结合活动依赖性荧光和光遗传标记和召回，确定了 LA 主要神经元之间以簇为单位的稀疏连接网络。恐惧调理特异性地引起了学习招募神经元之间突触连接的电位增强。这些关于LA自身兴奋网络中突触可塑性的发现可能暗示了一个基本原理，即少量锥体神经元可以编码大量记忆。
{"title":"Fear learning induces synaptic potentiation between engram neurons in the rat lateral amygdala","authors":"Marios Abatis, Rodrigo Perin, Ruifang Niu, Erwin van den Burg, Chloe Hegoburu, Ryang Kim, Michiko Okamura, Haruhiko Bito, Henry Markram, Ron Stoop","doi":"10.1038/s41593-024-01676-6","DOIUrl":"10.1038/s41593-024-01676-6","url":null,"abstract":"The lateral amygdala (LA) encodes fear memories by potentiating sensory inputs associated with threats and, in the process, recruits 10–30% of its neurons per fear memory engram. However, how the local network within the LA processes this information and whether it also plays a role in storing it are still largely unknown. Here, using ex vivo 12-patch-clamp and in vivo 32-electrode electrophysiological recordings in the LA of fear-conditioned rats, in combination with activity-dependent fluorescent and optogenetic tagging and recall, we identified a sparsely connected network between principal LA neurons that is organized in clusters. Fear conditioning specifically causes potentiation of synaptic connections between learning-recruited neurons. These findings of synaptic plasticity in an autoassociative excitatory network of the LA may suggest a basic principle through which a small number of pyramidal neurons could encode a large number of memories. A sparsely connected network, organized in clusters, identified in the rat lateral amygdala shows potentiation between recruited neurons after fear conditioning. This implies a mechanism for encoding multiple memories with a small number of neurons.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41593-024-01676-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141315584","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}
Injuries to the brain result in tunable cell responses paired with stimulus properties, suggesting the existence of intrinsic processes that encode and transmit injury information; however, the molecular mechanism of injury information encoding is unclear. Here, using ATP fluorescent indicators, we identify injury-evoked spatiotemporally selective ATP dynamics, Inflares, in adult mice of both sexes. Inflares are actively released from astrocytes and act as the internal representations of injury. Inflares encode injury intensity and position at their population level through frequency changes and are further decoded by microglia, driving changes in their activation state. Mismatches between Inflares and injury severity lead to microglia dysfunction and worsening of injury outcome. Blocking Inflares in ischemic stroke in mice reduces secondary damage and improves recovery of function. Our results suggest that astrocytic ATP dynamics encode injury information and are sensed by microglia. The mechanisms regulating microglial response to brain injury are unclear. Here, the authors show that astrocytic ATP dynamics encode injury information and trigger microglia response affecting the tissue damage and recovery of function following injury in mice.
大脑损伤会导致与刺激特性相匹配的可调细胞反应，这表明存在编码和传递损伤信息的内在过程；然而，损伤信息编码的分子机制尚不清楚。在这里，我们利用 ATP 荧光指示剂，在成年雌雄小鼠体内鉴定了损伤诱发的时空选择性 ATP 动力--Inflares。Inflares由星形胶质细胞主动释放，是损伤的内部表征。Inflares通过频率变化在其群体水平上编码损伤强度和位置，并由小胶质细胞进一步解码，驱动其激活状态的变化。Inflares与损伤严重程度不匹配会导致小胶质细胞功能障碍和损伤结果恶化。在小鼠缺血性中风中阻断 Inflares 可减少继发性损伤并改善功能恢复。我们的研究结果表明，星形胶质细胞 ATP 动态编码损伤信息并被小胶质细胞感知。
{"title":"Spatiotemporally selective astrocytic ATP dynamics encode injury information sensed by microglia following brain injury in mice","authors":"Yue Chen, Pengwei Luan, Juan Liu, Yelan Wei, Chenyu Wang, Rui Wu, Zhaofa Wu, Miao Jing","doi":"10.1038/s41593-024-01680-w","DOIUrl":"10.1038/s41593-024-01680-w","url":null,"abstract":"Injuries to the brain result in tunable cell responses paired with stimulus properties, suggesting the existence of intrinsic processes that encode and transmit injury information; however, the molecular mechanism of injury information encoding is unclear. Here, using ATP fluorescent indicators, we identify injury-evoked spatiotemporally selective ATP dynamics, Inflares, in adult mice of both sexes. Inflares are actively released from astrocytes and act as the internal representations of injury. Inflares encode injury intensity and position at their population level through frequency changes and are further decoded by microglia, driving changes in their activation state. Mismatches between Inflares and injury severity lead to microglia dysfunction and worsening of injury outcome. Blocking Inflares in ischemic stroke in mice reduces secondary damage and improves recovery of function. Our results suggest that astrocytic ATP dynamics encode injury information and are sensed by microglia. The mechanisms regulating microglial response to brain injury are unclear. Here, the authors show that astrocytic ATP dynamics encode injury information and trigger microglia response affecting the tissue damage and recovery of function following injury in mice.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141304505","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 : 2024-06-10DOI: 10.1038/s41593-024-01679-3
Shinwon Park, Koen V. Haak, Stuart Oldham, Hanbyul Cho, Kyoungseob Byeon, Bo-yong Park, Phoebe Thomson, Haitao Chen, Wei Gao, Ting Xu, Sofie Valk, Michael P. Milham, Boris Bernhardt, Adriana Di Martino, Seok-Jun Hong
The cortical patterning principle has been a long-standing question in neuroscience, yet how this translates to macroscale functional specialization in the human brain remains largely unknown. Here we examine age-dependent differences in resting-state thalamocortical connectivity to investigate its role in the emergence of large-scale functional networks during early life, using a primarily cross-sectional but also longitudinal approach. We show that thalamocortical connectivity during infancy reflects an early differentiation of sensorimotor networks and genetically influenced axonal projection. This pattern changes in childhood, when connectivity is established with the salience network, while decoupling externally and internally oriented functional systems. A developmental simulation using generative network models corroborated these findings, demonstrating that thalamic connectivity contributes to developing key features of the mature brain, such as functional segregation and the sensory-association axis, especially across 12–18 years of age. Our study suggests that the thalamus plays an important role in functional specialization during development, with potential implications for studying conditions with compromised internal and external processing. The thalamus is important for neocortical functional specialization. Here the authors show its shifting role in shaping large-scale functional organization during early life in humans, particularly in developing the internal–external cortical hierarchy.
{"title":"A shifting role of thalamocortical connectivity in the emergence of cortical functional organization","authors":"Shinwon Park, Koen V. Haak, Stuart Oldham, Hanbyul Cho, Kyoungseob Byeon, Bo-yong Park, Phoebe Thomson, Haitao Chen, Wei Gao, Ting Xu, Sofie Valk, Michael P. Milham, Boris Bernhardt, Adriana Di Martino, Seok-Jun Hong","doi":"10.1038/s41593-024-01679-3","DOIUrl":"10.1038/s41593-024-01679-3","url":null,"abstract":"The cortical patterning principle has been a long-standing question in neuroscience, yet how this translates to macroscale functional specialization in the human brain remains largely unknown. Here we examine age-dependent differences in resting-state thalamocortical connectivity to investigate its role in the emergence of large-scale functional networks during early life, using a primarily cross-sectional but also longitudinal approach. We show that thalamocortical connectivity during infancy reflects an early differentiation of sensorimotor networks and genetically influenced axonal projection. This pattern changes in childhood, when connectivity is established with the salience network, while decoupling externally and internally oriented functional systems. A developmental simulation using generative network models corroborated these findings, demonstrating that thalamic connectivity contributes to developing key features of the mature brain, such as functional segregation and the sensory-association axis, especially across 12–18 years of age. Our study suggests that the thalamus plays an important role in functional specialization during development, with potential implications for studying conditions with compromised internal and external processing. The thalamus is important for neocortical functional specialization. Here the authors show its shifting role in shaping large-scale functional organization during early life in humans, particularly in developing the internal–external cortical hierarchy.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141299096","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 : 2024-06-07DOI: 10.1038/s41593-024-01674-8
Cognitive control is crucial for present and future success and therefore is a frequent target of interventions. This study showed that training cognitive control in a large sample of 6–13-year-old children did not lead to any behavioral or neural changes, either immediately or 1 year after training.
{"title":"Boosting children’s cognitive control does not result in behavioral or neural changes","authors":"","doi":"10.1038/s41593-024-01674-8","DOIUrl":"10.1038/s41593-024-01674-8","url":null,"abstract":"Cognitive control is crucial for present and future success and therefore is a frequent target of interventions. This study showed that training cognitive control in a large sample of 6–13-year-old children did not lead to any behavioral or neural changes, either immediately or 1 year after training.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141287235","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 : 2024-06-07DOI: 10.1038/s41593-024-01666-8
Sarah Foerster, Elisa M. Floriddia, David van Bruggen, Petra Kukanja, Bastien Hervé, Shangli Cheng, Eosu Kim, Benjamin U. Phillips, Christopher J. Heath, Richa B. Tripathi, Cody Call, Theresa Bartels, Katherine Ridley, Björn Neumann, Laura López-Cruz, Abbe H. Crawford, Cian J. Lynch, Manuel Serrano, Lisa Saksida, David H. Rowitch, Wiebke Möbius, Klaus-Armin Nave, Matthew N. Rasband, Dwight E. Bergles, Nicoletta Kessaris, William D. Richardson, Timothy J. Bussey, Chao Zhao, Gonçalo Castelo-Branco, Robin J. M. Franklin
In the mouse embryonic forebrain, developmentally distinct oligodendrocyte progenitor cell populations and their progeny, oligodendrocytes, emerge from three distinct regions in a spatiotemporal gradient from ventral to dorsal. However, the functional importance of this oligodendrocyte developmental heterogeneity is unknown. Using a genetic strategy to ablate dorsally derived oligodendrocyte lineage cells (OLCs), we show here that the areas in which dorsally derived OLCs normally reside in the adult central nervous system become populated and myelinated by OLCs of ventral origin. These ectopic oligodendrocytes (eOLs) have a distinctive gene expression profile as well as subtle myelination abnormalities. The failure of eOLs to fully assume the role of the original dorsally derived cells results in locomotor and cognitive deficits in the adult animal. This study reveals the importance of developmental heterogeneity within the oligodendrocyte lineage and its importance for homeostatic brain function. Here the authors show that ventrally derived oligodendrocytes (OLs) can myelinate areas usually populated by dorsally derived OLs but cannot functionally compensate, as animals populated only by ventrally derived OLs show locomotor and cognitive deficits.
{"title":"Developmental origin of oligodendrocytes determines their function in the adult brain","authors":"Sarah Foerster, Elisa M. Floriddia, David van Bruggen, Petra Kukanja, Bastien Hervé, Shangli Cheng, Eosu Kim, Benjamin U. Phillips, Christopher J. Heath, Richa B. Tripathi, Cody Call, Theresa Bartels, Katherine Ridley, Björn Neumann, Laura López-Cruz, Abbe H. Crawford, Cian J. Lynch, Manuel Serrano, Lisa Saksida, David H. Rowitch, Wiebke Möbius, Klaus-Armin Nave, Matthew N. Rasband, Dwight E. Bergles, Nicoletta Kessaris, William D. Richardson, Timothy J. Bussey, Chao Zhao, Gonçalo Castelo-Branco, Robin J. M. Franklin","doi":"10.1038/s41593-024-01666-8","DOIUrl":"10.1038/s41593-024-01666-8","url":null,"abstract":"In the mouse embryonic forebrain, developmentally distinct oligodendrocyte progenitor cell populations and their progeny, oligodendrocytes, emerge from three distinct regions in a spatiotemporal gradient from ventral to dorsal. However, the functional importance of this oligodendrocyte developmental heterogeneity is unknown. Using a genetic strategy to ablate dorsally derived oligodendrocyte lineage cells (OLCs), we show here that the areas in which dorsally derived OLCs normally reside in the adult central nervous system become populated and myelinated by OLCs of ventral origin. These ectopic oligodendrocytes (eOLs) have a distinctive gene expression profile as well as subtle myelination abnormalities. The failure of eOLs to fully assume the role of the original dorsally derived cells results in locomotor and cognitive deficits in the adult animal. This study reveals the importance of developmental heterogeneity within the oligodendrocyte lineage and its importance for homeostatic brain function. Here the authors show that ventrally derived oligodendrocytes (OLs) can myelinate areas usually populated by dorsally derived OLs but cannot functionally compensate, as animals populated only by ventrally derived OLs show locomotor and cognitive deficits.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s41593-024-01666-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141287051","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 : 2024-06-07DOI: 10.1038/s41593-024-01662-y
George Inglis
To celebrate Pride month in the USA, Nature Neuroscience is having conversations with LGBTQIA+ scientists across multiple career stages to discuss their personal and professional experiences in research. In this Q&A, we are talking to Aniruddha Das, an associate professor at Columbia University, New York, USA. Das’s research uses macaque models to explore the cognitive basis of visual processing, attention, and motivation.
{"title":"In conversation with Aniruddha Das","authors":"George Inglis","doi":"10.1038/s41593-024-01662-y","DOIUrl":"10.1038/s41593-024-01662-y","url":null,"abstract":"To celebrate Pride month in the USA, Nature Neuroscience is having conversations with LGBTQIA+ scientists across multiple career stages to discuss their personal and professional experiences in research. In this Q&A, we are talking to Aniruddha Das, an associate professor at Columbia University, New York, USA. Das’s research uses macaque models to explore the cognitive basis of visual processing, attention, and motivation.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":25.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141287144","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 : 2024-06-07DOI: 10.1038/s41593-024-01661-z
George Inglis
To celebrate Pride month in the USA, Nature Neuroscience is having conversations with LGBTQIA+ scientists across multiple career stages to discuss their personal and professional experiences in research. In this Q&A, we are talking to Alexandra Keinath, an assistant professor at the University of Illinois, Chicago, USA. Keinath’s research uses both rodent and human models to investigate the neural representations of spatial memory and navigation.
{"title":"In conversation with Alexandra Keinath","authors":"George Inglis","doi":"10.1038/s41593-024-01661-z","DOIUrl":"10.1038/s41593-024-01661-z","url":null,"abstract":"To celebrate Pride month in the USA, Nature Neuroscience is having conversations with LGBTQIA+ scientists across multiple career stages to discuss their personal and professional experiences in research. In this Q&A, we are talking to Alexandra Keinath, an assistant professor at the University of Illinois, Chicago, USA. Keinath’s research uses both rodent and human models to investigate the neural representations of spatial memory and navigation.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":25.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141287152","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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