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  • 1
    Publication Date: 2008-05-16
    Description: Theta-phase precession in hippocampal place cells is one of the best-studied experimental models of temporal coding in the brain. Theta-phase precession is a change in spike timing in which the place cell fires at progressively earlier phases of the extracellular theta rhythm as the animal crosses the spatially restricted firing field of the neuron. Within individual theta cycles, this phase advance results in a compressed replication of the firing sequence of consecutively activated place cells along the animal's trajectory, at a timescale short enough to enable spike-time-dependent plasticity between neurons in different parts of the sequence. The neuronal circuitry required for phase precession has not yet been established. The fact that phase precession can be seen in hippocampal output stuctures such as the prefrontal cortex suggests either that efferent structures inherit the precession from the hippocampus or that it is generated locally in those structures. Here we show that phase precession is expressed independently of the hippocampus in spatially modulated grid cells in layer II of medial entorhinal cortex, one synapse upstream of the hippocampus. Phase precession is apparent in nearly all principal cells in layer II but only sparsely in layer III. The precession in layer II is not blocked by inactivation of the hippocampus, suggesting that the phase advance is generated in the grid cell network. The results point to possible mechanisms for grid formation and raise the possibility that hippocampal phase precession is inherited from entorhinal cortex.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hafting, Torkel -- Fyhn, Marianne -- Bonnevie, Tora -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2008 Jun 26;453(7199):1248-52. doi: 10.1038/nature06957. Epub 2008 May 14.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18480753" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Electroencephalography ; Entorhinal Cortex/*cytology/*physiology ; Hippocampus/cytology/physiology ; Male ; Models, Neurological ; Rats ; Rats, Long-Evans ; Running/physiology ; Theta Rhythm
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2009-11-20
    Description: Gamma oscillations are thought to transiently link distributed cell assemblies that are processing related information, a function that is probably important for network processes such as perception, attentional selection and memory. This 'binding' mechanism requires that spatially distributed cells fire together with millisecond range precision; however, it is not clear how such coordinated timing is achieved given that the frequency of gamma oscillations varies substantially across space and time, from approximately 25 to almost 150 Hz. Here we show that gamma oscillations in the CA1 area of the hippocampus split into distinct fast and slow frequency components that differentially couple CA1 to inputs from the medial entorhinal cortex, an area that provides information about the animal's current position, and CA3, a hippocampal subfield essential for storage of such information. Fast gamma oscillations in CA1 were synchronized with fast gamma in medial entorhinal cortex, and slow gamma oscillations in CA1 were coherent with slow gamma in CA3. Significant proportions of cells in medial entorhinal cortex and CA3 were phase-locked to fast and slow CA1 gamma waves, respectively. The two types of gamma occurred at different phases of the CA1 theta rhythm and mostly on different theta cycles. These results point to routeing of information as a possible function of gamma frequency variations in the brain and provide a mechanism for temporal segregation of potentially interfering information from different sources.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Colgin, Laura Lee -- Denninger, Tobias -- Fyhn, Marianne -- Hafting, Torkel -- Bonnevie, Tora -- Jensen, Ole -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2009 Nov 19;462(7271):353-7. doi: 10.1038/nature08573.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, MTFS, Olav Kyrres gate 9, Norwegian University of Science and Technology, NO-7489 Trondheim, Norway. laura.colgin@ntnu.no〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/19924214" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Hippocampus/*physiology ; Male ; Neural Pathways/*physiology ; Neurons/*physiology ; Rats ; Rats, Long-Evans ; Synaptic Transmission/physiology ; *Theta Rhythm
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2011-01-21
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Moser, Edvard I -- Moser, May-Britt -- England -- Nature. 2011 Jan 20;469(7330):303-4. doi: 10.1038/469303a.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21248830" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials/physiology ; Animals ; Eating ; Food ; Hippocampus/*cytology/*physiology ; Memory/physiology ; Mice ; *Models, Neurological ; Neurons/*physiology ; Orientation/physiology ; Rest/physiology ; Space Perception/physiology ; Time Factors
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-12-12
    Description: The medial entorhinal cortex (MEC) is part of the brain's circuit for dynamic representation of self-location. The metric of this representation is provided by grid cells, cells with spatial firing fields that tile environments in a periodic hexagonal pattern. Limited anatomical sampling has obscured whether the grid system operates as a unified system or a conglomerate of independent modules. Here we show with recordings from up to 186 grid cells in individual rats that grid cells cluster into a small number of layer-spanning anatomically overlapping modules with distinct scale, orientation, asymmetry and theta-frequency modulation. These modules can respond independently to changes in the geometry of the environment. The discrete topography of the grid-map, and the apparent autonomy of the modules, differ from the graded topography of maps for continuous variables in several sensory systems, raising the possibility that the modularity of the grid map is a product of local self-organizing network dynamics.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stensola, Hanne -- Stensola, Tor -- Solstad, Trygve -- Froland, Kristian -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2012 Dec 6;492(7427):72-8. doi: 10.1038/nature11649.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology, 7491 Trondheim, Norway. hanne.stensola@ntnu.no〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23222610" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Entorhinal Cortex/*anatomy & histology/*physiology ; Environment ; Male ; *Models, Neurological ; Orientation ; Rats ; Rats, Long-Evans ; Theta Rhythm/physiology
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2014-04-18
    Description: Accumulating evidence points to cortical oscillations as a mechanism for mediating interactions among functionally specialized neurons in distributed brain circuits. A brain function that may use such interactions is declarative memory--that is, memory that can be consciously recalled, such as episodes and facts. Declarative memory is enabled by circuits in the entorhinal cortex that interface the hippocampus with the neocortex. During encoding and retrieval of declarative memories, entorhinal and hippocampal circuits are thought to interact via theta and gamma oscillations, which in awake rodents predominate frequency spectra in both regions. In favour of this idea, theta-gamma coupling has been observed between entorhinal cortex and hippocampus under steady-state conditions in well-trained rats; however, the relationship between interregional coupling and memory formation remains poorly understood. Here we show, by multisite recording at successive stages of associative learning, that the coherence of firing patterns in directly connected entorhinal-hippocampus circuits evolves as rats learn to use an odour cue to guide navigational behaviour, and that such coherence is invariably linked to the development of ensemble representations for unique trial outcomes in each area. Entorhinal-hippocampal coupling was observed specifically in the 20-40-hertz frequency band and specifically between the distal part of hippocampal area CA1 and the lateral part of entorhinal cortex, the subfields that receive the predominant olfactory input to the hippocampal region. Collectively, the results identify 20-40-hertz oscillations as a mechanism for synchronizing evolving representations in dispersed neural circuits during encoding and retrieval of olfactory-spatial associative memory.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Igarashi, Kei M -- Lu, Li -- Colgin, Laura L -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2014 Jun 5;510(7503):143-7. doi: 10.1038/nature13162. Epub 2014 Apr 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, MTFS, 7491 Trondheim, Norway. ; Center for Learning and Memory, The University of Texas at Austin, Austin, Texas 78712-0805, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24739966" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cues ; Entorhinal Cortex/cytology/*physiology ; Exploratory Behavior/physiology ; Hippocampus/cytology/*physiology ; Learning/*physiology ; Male ; Memory/physiology ; Models, Neurological ; Neurons/physiology ; Odors/analysis ; Rats ; Rats, Long-Evans ; Smell ; Space Perception/physiology
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    Electronic ISSN: 1476-4687
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  • 6
    Publication Date: 2011-10-04
    Description: The ability to recall discrete memories is thought to depend on the formation of attractor states in recurrent neural networks. In such networks, representations can be reactivated reliably from subsets of the cues that were present when the memory was encoded, at the same time as interference from competing representations is minimized. Theoretical studies have pointed to the recurrent CA3 system of the hippocampus as a possible attractor network. Consistent with predictions from these studies, experiments have shown that place representations in CA3 and downstream CA1 tolerate small changes in the configuration of the environment but switch to uncorrelated representations when dissimilarities become larger. However, the kinetics supporting such network transitions, at the subsecond timescale, is poorly understood. Here we show in rats that instantaneous transformation of the spatial context does not change the hippocampal representation all at once but is followed by temporary bistability in the discharge activity of CA3 ensembles. Rather than sliding through a continuum of intermediate activity states, the CA3 network undergoes a short period of competitive flickering between preformed representations of the past and present environment before settling on the latter. Network flickers are extremely fast, often with complete replacement of the active ensemble from one theta cycle to the next. Within individual cycles, segregation is stronger towards the end, when firing starts to decline, pointing to the theta cycle as a temporal unit for expression of attractor states in the hippocampus. Repetition of pattern-completion processes across successive theta cycles may facilitate error correction and enhance discriminative power in the presence of weak and ambiguous input cues.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jezek, Karel -- Henriksen, Espen J -- Treves, Alessandro -- Moser, Edvard I -- Moser, May-Britt -- England -- Nature. 2011 Sep 28;478(7368):246-9. doi: 10.1038/nature10439.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for the Biology of Memory, Norwegian University of Science and Technology, Olav Kyrres gate 9, MTFS, 7489 Trondheim, Norway. karel.jezek@biomed.cas.cz〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21964339" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cues ; Environment ; Hippocampus/*cytology/*physiology ; Male ; Memory/*physiology ; Models, Neurological ; Rats ; Rats, Long-Evans ; Space Perception/*physiology ; Theta Rhythm/*physiology ; Time Factors
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    Electronic ISSN: 1476-4687
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  • 7
    Publication Date: 2015-02-13
    Description: Grid cells are neurons with periodic spatial receptive fields (grids) that tile two-dimensional space in a hexagonal pattern. To provide useful information about location, grids must be stably anchored to an external reference frame. The mechanisms underlying this anchoring process have remained elusive. Here we show in differently sized familiar square enclosures that the axes of the grids are offset from the walls by an angle that minimizes symmetry with the borders of the environment. This rotational offset is invariably accompanied by an elliptic distortion of the grid pattern. Reversing the ellipticity analytically by a shearing transformation removes the angular offset. This, together with the near-absence of rotation in novel environments, suggests that the rotation emerges through non-coaxial strain as a function of experience. The systematic relationship between rotation and distortion of the grid pattern points to shear forces arising from anchoring to specific geometric reference points as key elements of the mechanism for alignment of grid patterns to the external world.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Stensola, Tor -- Stensola, Hanne -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2015 Feb 12;518(7538):207-12. doi: 10.1038/nature14151.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, 7491 Trondheim, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25673414" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; Brain Mapping ; Entorhinal Cortex/*cytology/physiology ; *Environment ; Male ; Models, Neurological ; Neurons/cytology/*physiology ; Orientation/*physiology ; Pattern Recognition, Visual/*physiology ; Rats ; Rats, Long-Evans ; Rotation ; Space Perception/*physiology ; Time Factors
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    Electronic ISSN: 1476-4687
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  • 8
    Publication Date: 2016-05-20
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Minderer, Matthias -- Harvey, Christopher D -- Donato, Flavio -- Moser, Edvard I -- England -- Nature. 2016 May 11;533(7603):324-5. doi: 10.1038/nature17899.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Neurobiology, Harvard Medical School, Boston, Massachusetts 02115, USA. ; Kavli Institute for Systems Neuroscience, Norwegian University of Science and Technology, 7491 Trondheim, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27193673" target="_blank"〉PubMed〈/a〉
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  • 9
    Publication Date: 2015-05-29
    Description: Spatial navigation requires information about the relationship between current and future positions. The activity of hippocampal neurons appears to reflect such a relationship, representing not only instantaneous position but also the path towards a goal location. However, how the hippocampus obtains information about goal direction is poorly understood. Here we report a prefrontal-thalamic neural circuit that is required for hippocampal representation of routes or trajectories through the environment. Trajectory-dependent firing was observed in medial prefrontal cortex, the nucleus reuniens of the thalamus, and the CA1 region of the hippocampus in rats. Lesioning or optogenetic silencing of the nucleus reuniens substantially reduced trajectory-dependent CA1 firing. Trajectory-dependent activity was almost absent in CA3, which does not receive nucleus reuniens input. The data suggest that projections from medial prefrontal cortex, via the nucleus reuniens, are crucial for representation of the future path during goal-directed behaviour and point to the thalamus as a key node in networks for long-range communication between cortical regions involved in navigation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ito, Hiroshi T -- Zhang, Sheng-Jia -- Witter, Menno P -- Moser, Edvard I -- Moser, May-Britt -- England -- Nature. 2015 Jun 4;522(7554):50-5. doi: 10.1038/nature14396. Epub 2015 May 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, MTFS, 7491 Trondheim, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26017312" target="_blank"〉PubMed〈/a〉
    Keywords: Action Potentials ; Animals ; CA1 Region, Hippocampal/cytology/*physiology ; CA3 Region, Hippocampal/cytology/physiology ; *Goals ; Male ; Maze Learning ; Midline Thalamic Nuclei/cytology/physiology ; Neural Pathways/*physiology ; Neurons/physiology ; Optogenetics ; Prefrontal Cortex/cytology/*physiology ; Rats ; Rats, Long-Evans ; Spatial Navigation/*physiology ; Thalamus/cytology/*physiology
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  • 10
    Publication Date: 2015-07-16
    Description: Grid cells in the medial entorhinal cortex have spatial firing fields that repeat periodically in a hexagonal pattern. When animals move, activity is translated between grid cells in accordance with the animal's displacement in the environment. For this translation to occur, grid cells must have continuous access to information about instantaneous running speed. However, a powerful entorhinal speed signal has not been identified. Here we show that running speed is represented in the firing rate of a ubiquitous but functionally dedicated population of entorhinal neurons distinct from other cell populations of the local circuit, such as grid, head-direction and border cells. These 'speed cells' are characterized by a context-invariant positive, linear response to running speed, and share with grid cells a prospective bias of approximately 50-80 ms. Our observations point to speed cells as a key component of the dynamic representation of self-location in the medial entorhinal cortex.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kropff, Emilio -- Carmichael, James E -- Moser, May-Britt -- Moser, Edvard I -- England -- Nature. 2015 Jul 23;523(7561):419-24. doi: 10.1038/nature14622. Epub 2015 Jul 15.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, MTFS, 7491 Trondheim, Norway [2] Leloir Institute, IIBBA - CONICET, Buenos Aires, C1405BWE, Argentina. ; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Olav Kyrres gate 9, MTFS, 7491 Trondheim, Norway.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26176924" target="_blank"〉PubMed〈/a〉
    Keywords: Acceleration ; Action Potentials/physiology ; Animals ; Entorhinal Cortex/*cytology/*physiology ; Environment ; Male ; Models, Neurological ; Neurons/*physiology ; Rats ; Rats, Long-Evans ; Running/*physiology/*psychology ; Time Factors
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