Academic literature on the topic 'Cortex entorhinal'
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Journal articles on the topic "Cortex entorhinal"
Witter, Menno. "Entorhinal cortex." Scholarpedia 6, no. 10 (2011): 4380. http://dx.doi.org/10.4249/scholarpedia.4380.
Full textCaruana, Douglas A., and C. Andrew Chapman. "Stimulation of the Parasubiculum Modulates Entorhinal Cortex Responses to Piriform Cortex Inputs In Vivo." Journal of Neurophysiology 92, no. 2 (August 2004): 1226–35. http://dx.doi.org/10.1152/jn.00038.2004.
Full textvan der Linden, Solange, Ferruccio Panzica, and Marco de Curtis. "Carbachol Induces Fast Oscillations in the Medial but not in the Lateral Entorhinal Cortex of the Isolated Guinea Pig Brain." Journal of Neurophysiology 82, no. 5 (November 1, 1999): 2441–50. http://dx.doi.org/10.1152/jn.1999.82.5.2441.
Full textBiella, Gerardo, Paolo Spaiardi, Mauro Toselli, Marco de Curtis, and Vadym Gnatkovsky. "Functional Interactions Within the Parahippocampal Region Revealed by Voltage-Sensitive Dye Imaging in the Isolated Guinea Pig Brain." Journal of Neurophysiology 103, no. 2 (February 2010): 725–32. http://dx.doi.org/10.1152/jn.00722.2009.
Full textKajiwara, Riichi, Ichiro Takashima, Yuka Mimura, Menno P. Witter, and Toshio Iijima. "Amygdala Input Promotes Spread of Excitatory Neural Activity From Perirhinal Cortex to the Entorhinal–Hippocampal Circuit." Journal of Neurophysiology 89, no. 4 (April 1, 2003): 2176–84. http://dx.doi.org/10.1152/jn.01033.2002.
Full textCoutureau, Etienne, and Georges Di Scala. "Entorhinal cortex and cognition." Progress in Neuro-Psychopharmacology and Biological Psychiatry 33, no. 5 (August 2009): 753–61. http://dx.doi.org/10.1016/j.pnpbp.2009.03.038.
Full textBiella, Gerardo, and Marco de Curtis. "Olfactory Inputs Activate the Medial Entorhinal Cortex Via the Hippocampus." Journal of Neurophysiology 83, no. 4 (April 1, 2000): 1924–31. http://dx.doi.org/10.1152/jn.2000.83.4.1924.
Full textBevilaqua, Lia R. M., Janine I. Rossato, Juliana S. Bonini, Jociane C. Myskiw, Julia R. Clarke, Siomara Monteiro, Ramón H. Lima, Jorge H. Medina, Martín Cammarota, and Iván Izquierdo. "The Role of the Entorhinal Cortex in Extinction: Influences of Aging." Neural Plasticity 2008 (2008): 1–8. http://dx.doi.org/10.1155/2008/595282.
Full textJacob, Pierre-Yves, Tiffany Van Cauter, Bruno Poucet, Francesca Sargolini, and Etienne Save. "Medial entorhinal cortex lesions induce degradation of CA1 place cell firing stability when self-motion information is used." Brain and Neuroscience Advances 4 (January 2020): 239821282095300. http://dx.doi.org/10.1177/2398212820953004.
Full textSparks, Daniel W., and C. Andrew Chapman. "Heterosynaptic modulation of evoked synaptic potentials in layer II of the entorhinal cortex by activation of the parasubiculum." Journal of Neurophysiology 116, no. 2 (August 1, 2016): 658–70. http://dx.doi.org/10.1152/jn.00095.2016.
Full textDissertations / Theses on the topic "Cortex entorhinal"
Killian, Nathaniel J. "Bioelectrical dynamics of the entorhinal cortex." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/52148.
Full textStensola, Tor. "Population codes in medial entorhinal cortex." Doctoral thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for nevromedisin, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25419.
Full textCurrent systems neuroscience has unprecedented momentum, in terms of both technological and conceptual development. It is crucial to study systems mechanisms and their associated functions with behavior in mind. Hippocampal and parahippocampal cortices has proved a highly suitable experimental system because the high level functions that are performed here, including episodic memory formation, are accessible through the clear readout of spatial behavior. Grid cells in medial entorhinal cortex (MEC) have been proposed to account for the spatial selectivity in downstream hippocampal place cells. Until now, however, entorhinal grid cells have only been studied on single cell– or small local ensemble level. The main reason for population studies lagging behind that of hippocampus is the technical difficulties associated with entorhinal implantation and recording. Here we have overcome some of the main technical hurdles, and recorded unprecedented number of cells from distinct functional classes in MEC. We show in Paper 1 that the entorhinal grid map is organized into sub-maps–or modules–that contain grid cells sharing numerous features including spatial pattern scale, orientation, deformation and temporal modulation. We also demonstrate that grid modules in the same system can operate independently on the same input, raising the possibility that hippocampal capacity for encoding distinct spatial representations is enabled by the grid input. We further show in Paper 2 that also head direction cells in entorhinal cortex distribute according to a functional topography along the dorsoventral axis. The head direction system, however, was not modular in contrast to the grid system. Finally, Paper 3 details a common grid anchoring strategy shared across animals and environments. The grid pattern displayed a striking tendency to align to the cardinal axes of the environment, but systematically offset 7.5°. Through simulations, we show that this constitutes an optimal orientation of the grid to maximally decorrelate population encoding of environment border segments, providing a possible link to border-selective cells in the mechanisms that embeds internal representation of space into external frames of reference. These findings have implications for our understanding of entorhinal and hippocampal computations and add several new venues for further investigation.
Ray, Saikat. "Functional architecture of the medial entorhinal cortex." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17595.
Full textThe medial entorhinal cortex (MEC) is an important hub in the memory circuit in the brain. This thesis comprises of a group of studies which explores the architecture and microcircuits of the MEC. Layer 2 of MEC is home to grid cells, neurons which exhibit a hexagonal firing pattern during exploration of an open environment. The first study found that a group of pyramidal cells in layer 2 of the MEC, expressing the protein calbindin, were clustered in the rat brain. These patches were physically arranged in a hexagonal grid in the MEC and received preferential cholinergic-inputs which are known to be important for grid-cell activity. A combination of identified single-cell and extracellular recordings in freely behaving rats revealed that grid cells were mostly calbindin-positive pyramidal cells. Reelin-positive stellate cells in MEC were scattered throughout layer 2 and contributed mainly to the border cell population– neurons which fire at the borders of an environment. The next study explored the architecture of the MEC across evolution. Five mammalian species, spanning ~100 million years of evolutionary diversity and ~20,000 fold variation in brain size exhibited a conserved periodic layout of calbindin-patches in the MEC, underscoring their importance. An investigation of the ontogeny of the MEC in rats revealed that the periodic structure of the calbindin-patches and scattered layout of reelin-positive stellate cells was present around birth. Further, calbindin-positive pyramidal cells matured later in comparison to reelin-positive stellate cells mirroring the difference in functional maturation profiles of grid and border cells respectively. Inputs from the parasubiculum, selectively targeted calbindin-patches in the MEC indicating its role in shaping grid-cell function. In summary, the thesis uncovered a structure-function dichotomy of neurons in layer 2 of the MEC which is a fundamental aspect of understanding the microcircuits involved in memory formation.
Tang, Qiusong. "Structure function relationships in medial entorhinal cortex." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17163.
Full textLittle is known about how medial entorhinal cortical microcircuits contribute to spatial navigation. Layer 2 principal neurons of medial entorhinal cortex divide into calbindin-positive pyramidal cells and dentate-gyrus-projecting calbindin-negative stellate cells. Calbindin-positive pyramidal cells bundled dendrites together and formed patches arranged in a hexagonal grid aligned to layer 1 axons, parasubiculum and cholinergic inputs. Calbindin-positive pyramidal cells were strongly theta modulated. Calbindin-negative stellate cells were distributed across layer 2 but avoided centers of calbindin-positive pyramidal patches, and were weakly theta modulated. We developed techniques for anatomical identification of single neurons recorded in trained rats engaged in exploratory behavior. Furthermore, we assigned unidentified juxtacellular and extracellular recordings based on spike phase locking to field potential theta. In layer 2 of medial entorhinal cortex, weakly hexagonal spatial discharges and head direction selectivity were observed in both cell types. Clear grid discharges were predominantly pyramidal cells. Border cells were mainly stellate neurons. Thus, weakly theta locked border responses occurred in stellate cells, whose dendrites sample large input territories, whereas strongly theta-locked grid discharges occurred in pyramidal cells, which sample small input territories in patches organized in a hexagonal ‘grid-cell-grid’. In addition, we investigated anatomical structures and neuronal discharge patterns of the parasubiculum. The parasubiculum is a primary target of medial septal inputs and parasubicular output preferentially targeted patches of calbindin-positive pyramidal cells in layer 2 of medial entorhinal cortex. Parasubicular cells were strongly theta modulated and carried mostly head-direction and border information, and might contribute to shape theta-rhythmicity and the (dorsoventral) integration of information across entorhinal grid scales.
Wågen, Rine Sørlie. "Functional Dissection of Local Medial Entorhinal Cortex Subcircuit." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for nevromedisin, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25537.
Full textBerndtsson, Christin H. "The Specificity of Output from Medial Entorhinal Cortex." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for nevromedisin, 2013. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25538.
Full textReifenstein, Eric. "Principles of local computation in the entorhinal cortex." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17625.
Full textEvery day, animals are exposed to sequences of events that are worth recalling. It is a common problem, however, that the time scale of behavior and the time scale for the induction of neuronal learning differ by multiple orders of magnitude. One possible solution could be a phenomenon called "phase precession" - the gradual shift of spike phases with respect to the theta oscillation in the local field potential. Phase precession allows for the temporal compression of behavioral sequences of events to the time scale of synaptic plasticity. In this thesis, I investigate the phase-precession phenomenon in the medial entorhinal cortex of the rat. I find that entorhinal grid cells show phase precession at the behaviorally relevant single-trial level and that phase precession is stronger in single trials than in pooled-trial data. Single-trial analysis further revealed that phase precession (i) exists in cells across all layers of medial entorhinal cortex and (ii) is altered by the complex movement patterns of rats in two-dimensional environments. Finally, I show that phase precession is cell-type specific: stellate cells in layer II of the medial entorhinal cortex exhibit clear phase precession whereas pyramidal cells in the same layer do not. These results have broad implications for pinpointing the origin and possible mechanisms of phase precession.
Schmidt-Helmstaedter, Helene. "Large-scale circuit reconstruction in medial entorhinal cortex." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19197.
Full textThe mechanisms by which the electrical activity of ensembles of neurons in the brain give rise to an individual’s behavior are still largely unknown. Navigation in space is one important capacity of the brain, for which the medial entorhinal cortex (MEC) is a pivotal structure in mammals. At the cellular level, neurons that represent the surrounding space in a grid-like fashion have been identified in MEC. These so-called grid cells are located predominantly in layer 2 (L2) of MEC. The detailed neuronal circuits underlying this unique activity pattern are still poorly understood. This thesis comprises studies contributing to a mechanistic description of the synaptic architecture in rat MEC L2. First, this thesis describes the discovery of hexagonally arranged cell clusters and anatomical data on the dichotomy of the two principle cell types in L2 of the MEC. Then, the first connectomic study of the MEC is reported. An analysis of the axonal architecture of excitatory neurons revealed synaptic positional sorting along axons, integrated into precise microcircuits. These microcircuits were found to involve interneurons with a surprising degree of axonal specialization for effective and fast inhibition. Together, these results contribute to a detailed understanding of the circuitry in MEC. They provide the first description of highly precise synaptic arrangements along axons in the cerebral cortex of mammals. The functional implications of these anatomical features were explored using numerical simulations, suggesting effects on the propagation of synchronous activity in L2 of the MEC. These findings motivate future investigations to clarify the contribution of precise synaptic architecture to computations underlying spatial navigation. Further studies are required to understand whether the reported synaptic specializations are specific for the MEC or represent a general wiring principle in the mammalian cortex.
Ridler, Thomas. "Entorhinal cortex dysfunction in rodent models of dementia." Thesis, University of Exeter, 2017. http://hdl.handle.net/10871/30575.
Full textHeys, James Gerard. "Cellular mechanisms underlying spatial processing in medial entorhinal cortex." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12780.
Full textFunctional brain recordings from several mammalian species including rodents, bats and humans demonstrate that neurons in the medial entorhinal cortex (mEC) represent space in a similar way. Single neurons in mEC, termed 'grid cells' (GCs), fire at regular repeating spatial intervals as the animal moves throughout the environment. In rodents, models GCs have been inspired by research that suggests a relationship between theta rhythmic electrophysiology in mEC and GC firing behavior. The h current time constant and frequency of membrane potential resonance (MPR) changes systematically along the dorsal to ventral axis of mEC, which correlates with systematic gradations in the spacing of the GC firing fields along the same anatomical axis. Despite significant efforts, the mechanism generating this periodic spatial representation remains an open question and the work presented in this thesis is directed towards answering this question One major class of models that have been put forth to explain the grid pattern use interference between oscillations that are frequency modulated as a function of the animal's heading direction and running speed. Parts one and two of this thesis demonstrate how cholinergic modulation of MPR frequency could account for the expansion of grid field spacing that occurs during exploration of a novel environment. The result from these experiments demonstrate that activation of muscarinic acetylcholin receptors produces a decrease in the h current amplitude which causes a decrease in the MPR frequency. Recently unit recordings have shown that GC firing pattern may exist in the mEC of the bat in the absence of these characteristic theta-rhythmic physiological mechanisms. The third section of the thesis details experiments in bat brain slices that were conducted to investigate the cellular physiology of principal neurons in layer II of mEC in the bat and directly test or intrinsic cellular mechanisms that could generate theta in mEC of the bat. Together this work reveals that significant h current is present in rodents and bats. However, the time course of the h current may differ between species such that theta band membrane potential resonance is present in the rodents but is not produced in bat neurons in mEC.
Books on the topic "Cortex entorhinal"
Bertram, Edward H. Temporal Lobe Epilepsy. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0038.
Full textErdem, Uğur Murat, Nicholas Roy, John J. Leonard, and Michael E. Hasselmo. Spatial and episodic memory. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199674923.003.0029.
Full textSulphide Silver Pattern and Cytoarchitectonics of Parahippocampal Areas in the Rat: Special Reference to the Subdivision of Area Entorhinalis and its Demarcation from the Pyriform Cortex. Springer, 2012.
Find full textBook chapters on the topic "Cortex entorhinal"
Rivière, Pamela D. "Entorhinal Cortex." In Encyclopedia of Animal Cognition and Behavior, 1–4. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47829-6_1302-1.
Full textFransén, Erik. "Entorhinal Cortex Cells." In Hippocampal Microcircuits, 375–98. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-0996-1_13.
Full textGupta, Kishan, and Michael E. Hasselmo. "Modulatory Influences on the Hippocampus and Entorhinal Cortex." In Space,Time and Memory in the Hippocampal Formation, 153–89. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1292-2_7.
Full textDerdikman, Dori, and Edvard I. Moser. "Spatial Maps in the Entorhinal Cortex and Adjacent Structures." In Space,Time and Memory in the Hippocampal Formation, 107–25. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1292-2_5.
Full textDeshmukh, Sachin S. "Spatial and Nonspatial Representations in the Lateral Entorhinal Cortex." In Space,Time and Memory in the Hippocampal Formation, 127–52. Vienna: Springer Vienna, 2014. http://dx.doi.org/10.1007/978-3-7091-1292-2_6.
Full textInsausti, Ricardo. "The Rat Entorhinal Cortex. Limited Cortical Input, Extended Cortical Output." In The Mammalian Cochlear Nuclei, 457–66. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2932-3_37.
Full textStensola, Tor, and Edvard I. Moser. "Grid Cells and Spatial Maps in Entorhinal Cortex and Hippocampus." In Research and Perspectives in Neurosciences, 59–80. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28802-4_5.
Full textFinch, David M. "Hippocampal, Subicular, and Entorhinal Afferents and Synaptic Integration in Rodent Cingulate Cortex." In Neurobiology of Cingulate Cortex and Limbic Thalamus, 224–48. Boston, MA: Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4899-6704-6_8.
Full textKhanna, Sanjay. "Nociceptive Processing in the Hippocampus and Entorhinal Cortex, Neurophysiology and Pharmacology." In Encyclopedia of Pain, 2198–201. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-28753-4_2761.
Full textKwidzinski, E., L. K. Mutlu, A. D. Kovac, J. Bunse, J. Goldmann, J. Mahlo, O. Aktas, et al. "Self-tolerance in the immune privileged CNS: lessons from the entorhinal cortex lesion model." In Advances in Research on Neurodegeneration, 29–49. Vienna: Springer Vienna, 2003. http://dx.doi.org/10.1007/978-3-7091-0643-3_2.
Full textConference papers on the topic "Cortex entorhinal"
Yu, Naigong, Lin Wang, and Huanzhao Chen. "The computational model of entorhinal cortex." In 2013 IEEE International Conference on Information and Automation (ICIA). IEEE, 2013. http://dx.doi.org/10.1109/icinfa.2013.6720274.
Full textWhite, J. A., T. J. Kispersky, and F. R. Fernandez. "Mechanisms of coherent activity in hippocampus and entorhinal cortex." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5334591.
Full textLeandrou, S., I. Mamais, S. Petroudi, P. A. Kyriacou, Constantino Carlos Reyes-Aldasoro, and C. S. Pattichis. "Hippocampal and entorhinal cortex volume changes in Alzheimer's disease patients and mild cognitive impairment subjects." In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2018. http://dx.doi.org/10.1109/bhi.2018.8333412.
Full textBaram, Alon, Timothy Muller, Hamed Nili, Mona Garvert, and Tim Behrens. "The relational structure of a reinforcement learning task is represented and generalised in the entorhinal cortex." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1193-0.
Full textMorales, George J., Eion J. Ramcharan, Nithya Sundararaman, Salvatore D. Morgera, and Robert P. Vertes. "Analysis of the Actions of Nucleus Reuniens and the Entorhinal Cortex on EEG and Evoked Population Behavior of the Hippocampus." In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2007. http://dx.doi.org/10.1109/iembs.2007.4352831.
Full textYu, Naigong, Hejie Yu, Lin Wang, Yishen Liao, and Chunlei Yin. "A Model of Information Circulation and Transmission Network of Grid Cells in Entorhinal Cortex and Place Cells in the Hippocampus of Rat." In 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC). IEEE, 2020. http://dx.doi.org/10.1109/itaic49862.2020.9338829.
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