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Hippocampal–prefrontal input supports spatial encoding in working memory
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Spatial working memory, the caching of behaviourally relevant spatial cues on a timescale of seconds, is a fundamental constituent of cognition. Although the prefrontal cortex and hippocampus are known to contribute jointly to successful spatial working memory, the anatomical pathway and temporal window for the interaction of these structures critical to spatial working memory has not yet been established. Here we find that direct hippocampal-prefrontal afferents are critical for encoding, but not for maintenance or retrieval, of spatial cues in mice. These cues are represented by the activity of individual prefrontal units in a manner that is dependent on hippocampal input only during the cue-encoding phase of a spatial working memory task. Successful encoding of these cues appears to be mediated by gamma-frequency synchrony between the two structures. These findings indicate a critical role for the direct hippocampal-prefrontal afferent pathway in the continuous updating of task-related spatial information during spatial working memory.
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“The direct hippocampal to prefrontal afferents in mice are found to be critical for encoding of spatial cues during working memory, and successful encoding of task-related information is mediated by gamma-frequency synchrony between hippocampus and PFC 21.”
From Mechanisms of synaptic transmission dysregulation in the prefrontal cortex: pathophysiological implications (2022) · cites this paper as [21]
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Cites
Working memory: Looking back and looking forward
Baddeley, A. (2003) · Nature Reviews Neuroscience · doi:10.1038/nrn1201 · Cited by 5,200
Are the Dorsal and Ventral Hippocampus Functionally Distinct Structures?
Fanselow, M. S., & Dong, H.-W. (2010) · Neuron · doi:10.1016/j.neuron.2009.11.031 · Cited by 3,358
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663
A mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612
Models of Working Memory: Mechanisms of Active Maintenance and Executive Control
Miyake, A., & Shah, P. (1999) · Cited by 2,404
Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms
White, B. W., & Rosenblatt, F. (1963) · The American Journal of Psychology · doi:10.2307/1419730 · Cited by 1,818
PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
ROSENBLATT, F. (1961) · doi:10.21236/ad0256582 · Cited by 1,691
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M., Barak, O., Warden, M. R., Wang, X.-J., Daw, N. D., Miller, E. K., & Fusi, S. (2013) · Nature · doi:10.1038/nature12160 · Cited by 1,639
Self-citationAnatomical analysis of afferent projections to the medial prefrontal cortex in the rat
Hoover, W. B., & Vertes, R. P. (2007) · Brain Structure and Function · doi:10.1007/s00429-007-0150-4 · Cited by 1,365
Flagged first, then by citations
Research works printed but not linked: 1
- Baddeley, A. & Hitch, G. in Recent Advances in Learning and Motivation Vol. 8 (ed. Bower, G. A. ) 47–90 (Academic, 1974)
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Sorted by citations
Items 301–400 of 690
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Mons, N. E., & Béracochéa, D. (2016) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00165 · Cited by 20
Béracochéa, D., Mons, N. E., & David, V. (2019) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2019.00580 · Cited by 18
Liu, J., Liu, Y., & Wu, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-65747-1 · Cited by 17
Schmidt, B., & Redish, A. D. (2021) · Hippocampus · doi:10.1002/hipo.23367 · Cited by 20
Peng, Z., Zhou, C., Xue, S., Yu, H., Shi, Q., Xue, F., Chen, Y.-H., Tan, Q., & Wang, H. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.03.066 · Cited by 16
Evidence for Competition for Target Innervation in the Medial Prefrontal Cortex
Guirado, R., Umemori, J., Sipilä, P., & Ċastrén, E. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv280 · Cited by 21
Neuregulin 1 and ErbB4 Kinase Actively Regulate Sharp Wave Ripples in the Hippocampus
Robinson, H. L., Tan, Z., Santiago-Marrero, I. G., Arzola, E. P., Dong, T. V., Xiong, W., & Mei, L. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1022-21.2021 · Cited by 16
Sohal, V. S. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102820 · Cited by 20
Bogachouk, A. P., Storozheva, Z. I., Solovjeva, O. A., Sherstnev, V. V., Zolotarev, Y. A., Азев, В. Н., Rodionov, I. L., Surina, E. A., & Lipkin, V. M. (2015) · Journal of Psychopharmacology · doi:10.1177/0269881115616393 · Cited by 16
Zareie, F., Ghalebandi, S., Askari, K., Mousavi, Z., & Haghparast, A. (2021) · Peptides · doi:10.1016/j.peptides.2021.170679 · Cited by 17
Neural changes in Alzheimer’s disease from circuit to molecule: Perspective of optogenetics
Yang, Q., Song, D. F., & Qing, H. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.05.015 · Cited by 16
Perdok, A., Acker, Z. P. V., Vrancx, C., Sannerud, R., Vorsters, I., Verrengia, A., Callaerts‐Vegh, Z., Creemers, E., Fernández, S. G., D’hauw, B., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-54777-y · Cited by 18
Gozdas, E., Hinkley, L. M., Fingerhut, H., Dacorro, L., Gu, M., Sacchet, M. D., Hurd, R. E., & Hosseini, S. M. H. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103159 · Cited by 15
Stress specifically deteriorates working memory in peripheral neuropathic pain and fibromyalgia
Jacobsen, H. B., Brun, A., Stubhaug, A., & Rème, S. E. (2023) · Brain Communications · doi:10.1093/braincomms/fcad194 · Cited by 15
den Bakker, H., Dijck, M. V., Sun, J., & Kloosterman, F. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112959 · Cited by 22
Gannon, O. J., Tremble, S. M., McGinn, C., Guth, R., Scoppettone, N., Hunt, R. D., Prakash, K., & Johnson, A. C. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13491 · Cited by 15
Classification of Mild Cognitive Impairment and Alzheimer’s Disease Using Manual Motor Measures
Koppelmans, V., Ruitenberg, M. F. L., Schaefer, S. Y., King, J. B., Jacobo, J. M., Silvester, B., Mejia, A. F., van der Geest, J. N., Hoffman, J. M., Taşdizen, T., et al. (2024) · Neurodegenerative Diseases · doi:10.1159/000539800 · Cited by 15
Bidirectional emotional regulation through prefrontal innervation of the locus coeruleus
Watanabe, M., Uematsu, A., & Johansen, J. P. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-02944-y · Cited by 13
Dong, G., Wang, Y., & Potenza, M. N. (2016) · Human Brain Mapping · doi:10.1002/hbm.23290 · Cited by 15
Current Topics Regarding the Function of the Medial Temporal Lobe Memory System
Clark, R. E. (2017) · Current topics in behavioral neurosciences · doi:10.1007/7854_2017_481 · Cited by 25
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Zhao, K., Nie, J., Yang, L., Liu, X., Shang, Z., & Wan, H. (2019) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2019.09.005 · Cited by 14
Houlton, J., Barwick, D., & Clarkson, A. N. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107355 · Cited by 16
Bauer, J. P., Rader, S. L., Joffe, M. E., Kwon, W., Quay, J., Seanez, L., Zhou, C., Conn, P. J., & Lewis, A. S. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.04.005 · Cited by 14
Lin, Z., You, F., Li, T., Feng, Y., Zhao, X., Yang, J., Yao, Z., Gao, Y., & Chen, J. (2021) · Neuroscience Bulletin · doi:10.1007/s12264-021-00782-w · Cited by 16
Changlek, S., Rana, M. N., Phyu, M. P., Karim, N., Majima, H. J., & Tangpong, J. (2022) · Foods · doi:10.3390/foods11060856 · Cited by 16
Hall, B. J., Abreu‐Villaça, Y., Cauley, M. C., Junaid, S., White, H., Kiany, A., & Levin, E. D. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2017.01.019 · Cited by 16
Lack of redundancy between electrophysiological measures of long-range neuronal communication
Strahnen, D., Kapanaiah, S. K. T., Bygrave, A. M., & Kätzel, D. (2021) · BMC Biology · doi:10.1186/s12915-021-00950-4 · Cited by 15
Emrani, S., Wasserman, V., Matusz, E. F., Miller, D., Lamar, M., Price, C. C., Ginsberg, T. B., Au, R., Swenson, R., & Libon, D. J. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000808 · Cited by 16
Off-Target Influences of Arch-Mediated Axon Terminal Inhibition on Network Activity and Behavior
Lafferty, C. K., & Britt, J. P. (2020) · Frontiers in Neural Circuits · doi:10.3389/fncir.2020.00010 · Cited by 13
Riga, M. S., Sánchez, C., Celada, P., & Artigas, F. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108238 · Cited by 14
Noradrenergic Activity in the Olfactory Bulb Is a Key Element for the Stability of Olfactory Memory
Linster, C., Midroit, M., Forest, J., Thenaisie, Y., Cho, C., Richard, M. B., Didier, A., & Mandairon, N. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1769-20.2020 · Cited by 14
Fang, Q.-J., Chi, B., Lin, Q., Huang, C.-M., Jin, S.-W., Cai, J., Nan, K., Han, Y., Tao, Y., Cao, H., et al. (2020) · Europe PMC (PubMed Central) · Cited by 14
Banks, P. J., Warburton, E. C., & Bashir, Z. I. (2021) · Cerebral Cortex Communications · doi:10.1093/texcom/tgab029 · Cited by 21
Farrokhi, A., Tafakori, S., & Daliri, M. R. (2022) · Physiology & Behavior · doi:10.1016/j.physbeh.2022.113912 · Cited by 15
Mishra, A., Singla, R., Kumar, R., Sharma, A. R., Joshi, R., Sarma, P., Kaur, G., Prajapat, M., Bhatia, A., & Medhi, B. (2022) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.2c00270 · Cited by 14
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Griggs, D., Khateeb, K., Philips, S. A., Chan, J.-W., Ojemann, W. K. S., & Yazdan-Shahmorad, A. (2019) · BiOS · doi:10.1117/12.2511317 · Cited by 18
Ganesh, A., Choudhury, W., & Coutellier, L. D. (2024) · Brain Research · doi:10.1016/j.brainres.2024.149122 · Cited by 13
Ma, X., Zheng, C. Y., Chen, Y., Pereira, F., & Li, Z. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac205 · Cited by 16
Animal Models of Developmental Neuropathology in Schizophrenia
Kanyuch, N., & Anderson, S. A. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx116 · Cited by 15
Santos, T. B., Wallau, A. E., Soares, J. C. K., & Oliveira, M. G. M. (2020) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2020.107216 · Cited by 14
Bennett, M. S. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.685853 · Cited by 13
Song, L., Xu, X., Putthoff, P., Fleck, D., Spehr, M., & Hanganu‐Opatz, I. L. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1203-21.2021 · Cited by 13
Jin, W., Qin, H., Zhang, K., & Chen, X. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-981-15-7086-5_7 · Cited by 15
Repeatedly Measured Serum Creatinine and Cognitive Performance in Midlife
Hakala, J. O., Pahkala, K., Juonala, M., Salo, P., Kähönen, M., Hutri-Kähönen, N., Lehtimäki, T. J., Laitinen, T. P., Jokinen, E., Taittonen, L., et al. (2022) · Neurology · doi:10.1212/wnl.0000000000200268 · Cited by 12
The Evolution of the Prefrontal Cortex in Early Primates and Anthropoids
Wise, S. P. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-804042-3.00092-0 · Cited by 13
Tan, S. Z. K., Neoh, J., Lawrence, A. J., Wu, E. X., & Lim, L. W. (2020) · Neurotherapeutics · doi:10.1007/s13311-020-00913-7 · Cited by 13
Galvin, V. C., Yang, S., Lowet, A. S., Datta, D., Duque, A., Arnsten, A. F. T., & Wang, M. (2021) · Current Research in Neurobiology · doi:10.1016/j.crneur.2021.100016 · Cited by 14
Activity Subspaces in Medial Prefrontal Cortex Distinguish States of the World
Maggi, S., & Humphries, M. D. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1412-21.2022 · Cited by 16
Liu, Y., Jia, S., Wang, J., Wang, D., Zhang, X., Liu, H., Zhou, F., Zhang, Z., Li, Q., Dong, H., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.1036428 · Cited by 12
Deceuninck, L., & Kloosterman, F. (2024) · eLife · doi:10.7554/elife.84004 · Cited by 14
Wang, Y., Wang, X., Wang, L., Li, Z., Meng, S., Zhu, N., An, X., Wang, L., Yang, J., Zheng, C., et al. (2024) · Current Biology · doi:10.1016/j.cub.2024.03.032 · Cited by 16
Park, M. G., Lim, J., Kim, D., Lee, W., Yoon, B., & Lee, C. J. (2025) · Experimental & Molecular Medicine · doi:10.1038/s12276-025-01398-0 · Cited by 13
Chen, Q., Luo, F., Yue, F., Xia, J., Xiao, Q., Liao, X., Jiang, J., Zhang, J., Hu, B., Gao, D., et al. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx145 · Cited by 12
Choi, Y., Park, H., Kang, S., Jung, H., Kweon, H., Kim, S., Choi, I., Lee, S. Y., Choi, Y., Lee, S., et al. (2019) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2019.00250 · Cited by 12
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Jung, F., & Carlén, M. (2021) · International review of neurobiology · doi:10.1016/bs.irn.2020.11.005 · Cited by 12
Zhou, J., Li, J., Zhao, Q., Ou, P., & Zhao, W. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.899344 · Cited by 14
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Li, S., Feng, X., & Bian, H. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.982223 · Cited by 12
No evidence that working memory training alters gray matter structure: A MRI surface -based analysis
Lawlor‐Savage, L., Clark, C. M., & Goghari, V. M. (2018) · Behavioural Brain Research · doi:10.1016/j.bbr.2018.12.008 · Cited by 13
Choi, H.-J., Im, S. J., Park, H. R., Park, S., Kim, C.-E., & Ryu, S. (2019) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.2019.17.3.400 · Cited by 12
Xu, X.-X., Song, L.-Z., & Hanganu-Opatz, I. (2020) · bioRxiv · doi:10.1093/cercor/bhaa291 · Cited by 10
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Shpokayte, M., McKissick, O. P., Guan, X., Yuan, B., Rahsepar, B., Fernandez, F. R., Ruesch, E. A., Grella, S. L., White, J. A., Liu, X. S., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.12.11.419887 · Cited by 12
Ventral hippocampal cholecystokinin interneurons gate contextual reward memory
Nguyen, R., Sivakumaran, S., Lambe, E. K., & Kim, J. C. (2024) · iScience · doi:10.1016/j.isci.2024.108824 · Cited by 13
James, C. E., Müller, D., Müller, C. A. H., van de Looij, Y., ALTENMÜLLER, E. O., Kliegel, M., Ville, D. V. D., & Marié, D. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e26674 · Cited by 15
Babl, S. S., & Sigurdsson, T. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003140 · Cited by 13
Wang, Y., Han, S., Han, R., Su, Y., & Li, J. (2017) · Brain and Behavior · doi:10.1002/brb3.734 · Cited by 11
suha, A. J., Hosseinmardi, N., & Janahmadi, M. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113547 · Cited by 11
Benoit, L., Holt, E. S., Teboul, E., Taliaferro, J. P., Kellendonk, C., & Canetta, S. (2020) · Behavioral Neuroscience · doi:10.1037/bne0000357 · Cited by 12
Linial, M., Stern, A., & Weinstock, M. (2020) · Neuropharmacology · doi:10.1016/j.neuropharm.2020.108229 · Cited by 10
Hatzipantelis, C. J., Langiu, M., Vandekolk, T. H., Pierce, T. L., Nithianantharajah, J., Stewart, G. D., & Langmead, C. J. (2020) · ACS Pharmacology & Translational Science · doi:10.1021/acsptsci.0c00117 · Cited by 13
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Knocikova, J. A., & Petrásek, T. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102596 · Cited by 11
Wang, J., Zhang, S., Liu, T., Zheng, X., Tian, X., & Bai, W. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.1055986 · Cited by 12
Goudarzi, A., & Teuscher, C. (2016) · ACM International Conference on Nanoscale Computing and Communication (NANOCOM) · doi:10.1145/2967446.2967448 · Cited by 11
Liu, Y., Liu, J., Jiao, S. R., Liu, X., Guo, Y., Zhang, J., Yang, J., Xie, W., Wang, H. S., & Zhang, L. (2019) · Behavioural Brain Research · doi:10.1016/j.bbr.2019.112207 · Cited by 11
Abstract representations emerge in human hippocampal neurons during inference behaviorPreprint
Courellis, H. S., Mixha, J., Cardenas, A. R., Kimmel, D. L., Reed, C. M., Valiante, T. A., Salzman, C. D., Mamelak, A. N., Fusi, S., & Rutishauser, U. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.10.566490 · Cited by 13
Self-citationBhamidimarri, P. M., Alhosani, K., Cai, H., Al-Ali, H., Abukhaled, Y. M., Tawamie, H., Abdelaziz, S., Fawaz, M., Kashir, J., Sajjad, Y., et al. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.107227 · Cited by 10
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Numan, R. (2021) · Perceptual and Motor Skills · doi:10.1177/00315125211041341 · Cited by 14
Bennett, D., Nakamura, J., Vinnakota, C., Sokolenko, E., Nithianantharajah, J., van den Buuse, M., Jones, N. C., Sundram, S., & Hill, R. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2101-22.2023 · Cited by 9
Mugan, U., Hoffman, S. L., & Redish, A. D. (2024) · Neuron · doi:10.1016/j.neuron.2024.10.004 · Cited by 13
Vinogradova, A. V., Sysova, M., Smirnova, P. A., Sidorova, M. V., Turkin, A., Kurilova, E. A., & Tuchina, O. P. (2023) · Biomedicines · doi:10.3390/biomedicines11051341 · Cited by 11
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Stout, J. J., George, A. E., Kim, S., Hallock, H. L., & Griffin, A. L. (2023) · eLife · doi:10.7554/elife.92033 · Cited by 16
Ott, T., Westendorff, S., & Nieder, A. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01248 · Cited by 10
Solís‐Chagoyán, H., Domínguez-Alonso, A., Valdés‐Tovar, M., Argueta, J., Sánchez-Florentino, Z. A., Calixto, E., & Benítez‐King, G. (2020) · Molecules · doi:10.3390/molecules25235508 · Cited by 11
Stavroulaki, V., Ioakeimidis, V., Konstantoudaki, X., & Sidiropoulou, K. (2021) · Journal of Neuroscience Research · doi:10.1002/jnr.24833 · Cited by 10
Fu, B., Yao, J.-Q., Lu, C., Wang, B., Li, Z., Huang, M., Tian, T., Peng, H., & Liu, S. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.10.031 · Cited by 10
Ferreira, C. B., Marttinen, M., Coelho, J. E., Paldanius, K. M. A., Takalo, M., Mäkinen, P. M., Leppänen, L., Miranda‐Lourenço, C., Fonseca‐Gomes, J., Tanqueiro, S. R., et al. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105603 · Cited by 10
High‐power gamma‐related delta phase alteration in schizophrenia patients at rest
Koshiyama, D., Miyakoshi, M., Tanaka‐Koshiyama, K., Sprock, J., & Light, G. A. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13331 · Cited by 10
Ishino, S., TAKAHASHI, S. Y., Ogawa, M., & Sakurai, Y. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13547 · Cited by 10
Takeda, M., Hirabayashi, T., Adachi, Y., & Miyashita, Y. (2018) · Nature Communications · doi:10.1038/s41467-018-07007-1 · Cited by 10
The generalized spatial representation in the prefrontal cortex is inherited from the hippocampusPreprint
Nardin, M., Kaefer, K., & Csicsvari, J. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.30.462269 · Cited by 9
Hippocampal-prefrontal high-gamma flow during performance of a spatial working memory
Bai, W., Liu, Y., Liu, A., Xu, X., Zheng, X., Tian, X., & Liu, T. (2024) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2024.110887 · Cited by 9
Yuan, L., Figueroa, J. G., Khan, A., Narayan, G., Leutgeb, J. K., & Leutgeb, S. (2025) · Nature Communications · doi:10.1038/s41467-025-62498-z · Cited by 11
CELF4 regulates spine formation and depression-like behaviors of mice
Shen, Y., Zhang, C., Xiao, K., Liu, D., & Xie, G. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.03.067 · Cited by 9
An ErbB4-Positive Neuronal Network in the Olfactory Bulb for Olfaction
Tan, Z., Liu, Z., Liu, Y., Liu, F., Robinson, H. L., Lin, T. W., Xiong, W., & Mei, L. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.0131-22.2022 · Cited by 11
Johnston, R., Abbass, M., Corrigan, B. W., Gulli, R. A., Martínez-Trujillo, J., & Sachs, A. J. (2023) · Journal of Neural Engineering · doi:10.1088/1741-2552/acb5c2 · Cited by 8
VTA multifaceted modulation of CA1 local circuits
Adeyelu, T. T., & Ogundele, O. M. (2023) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2023.107760 · Cited by 10
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Metadata
- Authors
- Spellman, T., Rigotti, M., Ahmari, S. E., Fusi, S., Gogos, J. A., & Gordon, J. A.
- Affiliations
- Columbia University (US)
- IBM Research - Thomas J. Watson Research Center (US)
- University of Pittsburgh (US)
- New York State Psychiatric Institute (US)
- Corresponding author
- Gordon, Joshua A.
- ORCID
- Venue
- Nature
- Published
- 2015-06-08
- Volume
- 522
- Issue
- 7556
- Pages
- 309-314
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4505751
- OpenAlex
- W1576349452
- Cited by
- 693
- References
- 51
- Citations by year
- 2026: 48 · 2025: 71 · 2024: 49 · 2023: 59 · 2022: 57 · 2021: 103 · 2020: 67 · 2019: 59 · 2018: 58 · 2017: 67 · 2016: 44 · 2015: 11
- FWCI
- 36.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institutes of Health (5r01mh096274-06)
- National Institute of Mental Health (R01-MH096274, MH081968, K08MH087718, MH096274, R01MH081968)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- spatial working memory, hippocampus, prefrontal cortex, memory maintenance, memory retrieval, single-unit activity, mice
- MeSH terms
- Action Potentials, Afferent Pathways, Animals, Cues, Hippocampus, Male, Memory, Short-Term, Models, Neurological, Space Perception, Prefrontal Cortex, Mice, Optogenetics, Spatial Memory
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