Neef, Andreas

[["dc.bibliographiccitation.firstpage","e2114549118"],["dc.bibliographiccitation.issue","51"],["dc.bibliographiccitation.journal","Proceedings of the National Academy of Sciences"],["dc.bibliographiccitation.volume","118"],["dc.contributor.author","Merino, Ricardo Martins"],["dc.contributor.author","Leon-Pinzon, Carolina"],["dc.contributor.author","Stühmer, Walter"],["dc.contributor.author","Möck, Martin"],["dc.contributor.author","Staiger, Jochen F."],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Neef, Andreas"],["dc.date.accessioned","2022-02-01T10:31:17Z"],["dc.date.available","2022-02-01T10:31:17Z"],["dc.date.issued","2021"],["dc.description.abstract","Fast oscillations in cortical circuits critically depend on GABAergic interneurons. Which interneuron types and populations can drive different cortical rhythms, however, remains unresolved and may depend on brain state. Here, we measured the sensitivity of different GABAergic interneurons in prefrontal cortex under conditions mimicking distinct brain states. While fast-spiking neurons always exhibited a wide bandwidth of around 400 Hz, the response properties of spike-frequency adapting interneurons switched with the background input\\’s statistics. Slowly fluctuating background activity, as typical for sleep or quiet wakefulness, dramatically boosted the neurons\\’ sensitivity to gamma and ripple frequencies. We developed a time-resolved dynamic gain analysis and revealed rapid sensitivity modulations that enable neurons to periodically boost gamma oscillations and ripples during specific phases of ongoing low-frequency oscillations. This mechanism predicts these prefrontal interneurons to be exquisitely sensitive to high-frequency ripples, especially during brain states characterized by slow rhythms, and to contribute substantially to theta-gamma cross-frequency coupling."],["dc.description.abstract","Fast oscillations in cortical circuits critically depend on GABAergic interneurons. Which interneuron types and populations can drive different cortical rhythms, however, remains unresolved and may depend on brain state. Here, we measured the sensitivity of different GABAergic interneurons in prefrontal cortex under conditions mimicking distinct brain states. While fast-spiking neurons always exhibited a wide bandwidth of around 400 Hz, the response properties of spike-frequency adapting interneurons switched with the background input’s statistics. Slowly fluctuating background activity, as typical for sleep or quiet wakefulness, dramatically boosted the neurons’ sensitivity to gamma and ripple frequencies. We developed a time-resolved dynamic gain analysis and revealed rapid sensitivity modulations that enable neurons to periodically boost gamma oscillations and ripples during specific phases of ongoing low-frequency oscillations. This mechanism predicts these prefrontal interneurons to be exquisitely sensitive to high-frequency ripples, especially during brain states characterized by slow rhythms, and to contribute substantially to theta-gamma cross-frequency coupling."],["dc.identifier.doi","10.1073/pnas.2114549118"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/98819"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-517"],["dc.relation.eissn","1091-6490"],["dc.relation.issn","0027-8424"],["dc.rights.uri","https://www.pnas.org/site/aboutpnas/licenses.xhtml"],["dc.title","Theta activity paradoxically boosts gamma and ripple frequency sensitivity in prefrontal interneurons"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","12933"],["dc.bibliographiccitation.issue","47"],["dc.bibliographiccitation.journal","The Journal of neuroscience"],["dc.bibliographiccitation.lastpage","12944"],["dc.bibliographiccitation.volume","27"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Khimich, Darina"],["dc.contributor.author","Pirih, Primoz"],["dc.contributor.author","Riedel, Dietmar"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Moser, Tobias"],["dc.date.accessioned","2017-09-07T11:49:23Z"],["dc.date.available","2017-09-07T11:49:23Z"],["dc.date.issued","2007"],["dc.description.abstract","Hearing relies on faithful synaptic transmission at the ribbon synapse of cochlear inner hair cells (IHCs). Postsynaptic recordings from this synapse in prehearing animals had delivered strong indications for synchronized release of several vesicles. The underlying mechanism, however, remains unclear. Here, we used presynaptic membrane capacitance measurements to test whether IHCs release vesicles in a statistically independent or dependent ( coordinated) manner. Exocytic changes of membrane capacitance (Delta C-m) were repeatedly stimulated in IHCs of prehearing and hearing mice by short depolarizations to preferentially recruit the readily releasable pool of synaptic vesicles. A compound Poisson model was devised to describe hair cell exocytosis and to test the analysis. From the trial-to-trial fluctuations of the Delta C-m we were able to estimate the apparent size of the elementary fusion event (C-app) at the hair cell synapse to be 96-223 aF in immature and 55-149 aF in mature IHCs. We also approximated the single vesicle capacitance in IHCs by measurements of synaptic vesicle diameters in electron micrographs. The results (immature, 48 aF; mature, 45 aF) were lower than the respective Capp estimates. This indicates that coordinated exocytosis of synaptic vesicles occurs at both immature and mature hair cell synapses. Approximately 35% of the release events in mature IHCs and similar to 50% in immature IHCs were predicted to involve coordinated fusion, when assuming a geometric distribution of elementary sizes. In summary, our presynaptic measurements indicate coordinated exocytosis but argue for a lesser degree of coordination than suggested by postsynaptic recordings."],["dc.identifier.doi","10.1523/JNEUROSCI.1996-07.2007"],["dc.identifier.gro","3143408"],["dc.identifier.isi","000251157200022"],["dc.identifier.pmid","18032667"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/919"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Soc Neuroscience"],["dc.relation.issn","0270-6474"],["dc.title","Probing the mechanism of exocytosis at the hair cell ribbon synapse"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","BMC Neuroscience"],["dc.bibliographiccitation.lastpage","1"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Hofmann, David"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Fleidervish, Ilya"],["dc.contributor.author","Gutnick, Michael"],["dc.contributor.author","Wolf, Fred"],["dc.date.accessioned","2014-07-02T10:46:49Z"],["dc.date.accessioned","2021-10-27T13:18:24Z"],["dc.date.available","2014-07-02T10:46:49Z"],["dc.date.available","2021-10-27T13:18:24Z"],["dc.date.issued","2013"],["dc.format.mimetype","application/pdf"],["dc.identifier.doi","10.1186/1471-2202-14-S1-P419"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10421"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91866"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.publisher","BioMed Central"],["dc.publisher.place","London"],["dc.relation.eissn","1471-2202"],["dc.relation.orgunit","Fakultät für Mathematik und Informatik"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","How do channel densities and various time constants affect the dynamic gain of a detailed model of a pyramidal neuron?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Frontiers in Neural Circuits"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Witt, Annette"],["dc.contributor.author","Palmigiano, Agostina"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","El Hady, Ahmed"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Battaglia, Demian"],["dc.date.accessioned","2017-09-07T11:45:38Z"],["dc.date.available","2017-09-07T11:45:38Z"],["dc.date.issued","2013"],["dc.description.abstract","Dynamic oscillatory coherence is believed to play a central role in flexible communication between brain circuits. To test this communication-through-coherence hypothesis, experimental protocols that allow a reliable control of phase-relations between neuronal populations are needed. In this modeling study, we explore the potential of closed-loop optogenetic stimulation for the control of functional interactions mediated by oscillatory coherence. The theory of non-linear oscillators predicts that the efficacy of local stimulation will depend not only on the stimulation intensity but also on its timing relative to the ongoing oscillation in the target area. Induced phase-shifts are expected to be stronger when the stimulation is applied within specific narrow phase intervals. Conversely, stimulations with the same or even stronger intensity are less effective when timed randomly. Stimulation should thus be properly phased with respect to ongoing oscillations (in order to optimally perturb them) and the timing of the stimulation onset must be determined by a real-time phase analysis of simultaneously recorded local field potentials (LFPs). Here, we introduce an electrophysiologically calibrated model of Channelrhodopsin 2 (ChR2)-induced photocurrents, based on fits holding over two decades of light intensity. Through simulations of a neural population which undergoes coherent gamma oscillations—either spontaneously or as an effect of continuous optogenetic driving—we show that precisely-timed photostimulation pulses can be used to shift the phase of oscillation, even at transduction rates smaller than 25%. We consider then a canonic circuit with two inter-connected neural populations oscillating with gamma frequency in a phase-locked manner. We demonstrate that photostimulation pulses applied locally to a single population can induce, if precisely phased, a lasting reorganization of the phase-locking pattern and hence modify functional interactions between the two populations."],["dc.identifier.doi","10.3389/fncir.2013.00049"],["dc.identifier.fs","599401"],["dc.identifier.gro","3151827"],["dc.identifier.pmid","23616748"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/10678"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8657"],["dc.language.iso","en"],["dc.notes","Financial support by the German Federal Ministry of Education and Research (BMBF) via the Bernstein Center for Computational Neuroscience—Göttingen (01GQ1005B, 01GQ0430, 01GQ07113), the Bernstein Focus Neurotechnology—Göttingen (01GQ0811) and the Bernstein Focus Visual Learning (01GQ0921, 01GQ0922), the German Israel Research Foundation and the VolkswagenStiftung (ZN2632) and the Deutsche Forschungsgemeinschaft through CRC-889 (906-17.1/2006)."],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","1662-5110"],["dc.relation.orgunit","Fakultät für Physik"],["dc.subject.mesh","Action Potentials"],["dc.subject.mesh","Biological Clocks"],["dc.subject.mesh","Computational Biology"],["dc.subject.mesh","HEK293 Cells"],["dc.subject.mesh","Humans"],["dc.subject.mesh","Neural Networks (Computer)"],["dc.subject.mesh","Optogenetics"],["dc.subject.mesh","Photic Stimulation"],["dc.subject.mesh","Random Allocation"],["dc.subject.mesh","Time Factors"],["dc.title","Controlling the oscillation phase through precisely timed closed-loop optogenetic stimulation: a computational study"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e1009775"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","PLoS Computational Biology"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Zhang, Chenfei"],["dc.contributor.author","Hofmann, David"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Wolf, Fred"],["dc.date.accessioned","2022-08-04T13:08:20Z"],["dc.date.available","2022-08-04T13:08:20Z"],["dc.date.issued","2022"],["dc.description.abstract","Populations of cortical neurons respond to common input within a millisecond. Morphological features and active ion channel properties were suggested to contribute to this astonishing processing speed. Here we report an exhaustive study of ultrafast population coding for varying axon initial segment (AIS) location, soma size, and axonal current properties. In particular, we studied their impact on two experimentally observed features 1) precise action potential timing, manifested in a wide-bandwidth dynamic gain, and 2) high-frequency boost under slowly fluctuating correlated input. While the density of axonal channels and their distance from the soma had a very small impact on bandwidth, it could be moderately improved by increasing soma size. When the voltage sensitivity of axonal currents was increased we observed ultrafast coding and high-frequency boost. We conclude that these computationally relevant features are strongly dependent on axonal ion channels' voltage sensitivity, but not their number or exact location. We point out that ion channel properties, unlike dendrite size, can undergo rapid physiological modification, suggesting that the temporal accuracy of neuronal population encoding could be dynamically regulated. Our results are in line with recent experimental findings in AIS pathologies and establish a framework to study structure-function relations in AIS molecular design."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2022"],["dc.identifier.doi","10.1371/journal.pcbi.1009775"],["dc.identifier.pmid","35041645"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/112651"],["dc.language.iso","en"],["dc.relation.eissn","1553-7358"],["dc.relation.issn","1553-7358"],["dc.rights","CC BY 4.0"],["dc.title","Ultrafast population coding and axo-somatic compartmentalization"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","e99649"],["dc.bibliographiccitation.issue","24"],["dc.bibliographiccitation.journal","The EMBO Journal"],["dc.bibliographiccitation.volume","37"],["dc.contributor.author","Keppeler, Daniel"],["dc.contributor.author","Merino, Ricardo Martins"],["dc.contributor.author","Lopez de la Morena, David"],["dc.contributor.author","Bali, Burak"],["dc.contributor.author","Huet, Antoine Tarquin"],["dc.contributor.author","Gehrt, Anna"],["dc.contributor.author","Wrobel, Christian"],["dc.contributor.author","Subramanian, Swati"],["dc.contributor.author","Dombrowski, Tobias"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Rankovic, Vladan"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Moser, Tobias"],["dc.date.accessioned","2019-07-09T11:51:47Z"],["dc.date.available","2019-07-09T11:51:47Z"],["dc.date.issued","2018"],["dc.description.abstract","Optogenetic tools, providing non‐invasive control over selected cells, have the potential to revolutionize sensory prostheses for humans. Optogenetic stimulation of spiral ganglion neurons (SGNs) in the ear provides a future alternative to electrical stimulation used in cochlear implants. However, most channelrhodopsins do not support the high temporal fidelity pertinent to auditory coding because they require milliseconds to close after light‐off. Here, we biophysically characterized the fast channelrhodopsin Chronos and revealed a deactivation time constant of less than a millisecond at body temperature. In order to enhance neural expression, we improved its trafficking to the plasma membrane (Chronos‐ES/TS). Following efficient transduction of SGNs using early postnatal injection of the adeno‐associated virus AAV‐PHP.B into the mouse cochlea, fiber‐based optical stimulation elicited optical auditory brainstem responses (oABR) with minimal latencies of 1 ms, thresholds of 5 μJ and 100 μs per pulse, and sizable amplitudes even at 1,000 Hz of stimulation. Recordings from single SGNs demonstrated good temporal precision of light‐evoked spiking. In conclusion, efficient virus‐mediated expression of targeting‐optimized Chronos‐ES/TS achieves ultrafast optogenetic control of neurons."],["dc.identifier.doi","10.15252/embj.201899649"],["dc.identifier.pmid","30396994"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16193"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/60011"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.rights","Goescholar"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject.ddc","610"],["dc.title","Ultrafast optogenetic stimulation of the auditory pathway by targeting‐optimized Chronos"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","submitted_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","228"],["dc.bibliographiccitation.journal","Current Opinion in Neurobiology"],["dc.bibliographiccitation.lastpage","236"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Engelken, Rainer"],["dc.contributor.author","Puelma-Touzel, Maximilian"],["dc.contributor.author","Weidinger, Juan Daniel Flórez"],["dc.contributor.author","Neef, Andreas"],["dc.date.accessioned","2017-09-07T11:46:18Z"],["dc.date.available","2017-09-07T11:46:18Z"],["dc.date.issued","2014"],["dc.description.abstract","Cortical neurons operate within recurrent neuronal circuits. Dissecting their operation is key to understanding information processing in the cortex and requires transparent and adequate dynamical models of circuit function. Convergent evidence from experimental and theoretical studies indicates that strong feedback inhibition shapes the operating regime of cortical circuits. For circuits operating in inhibition-dominated regimes, mathematical and computational studies over the past several years achieved substantial advances in understanding response modulation and heterogeneity, emergent stimulus selectivity, inter-neuron correlations, and microstate dynamics. The latter indicate a surprisingly strong dependence of the collective circuit dynamics on the features of single neuron action potential generation. New approaches are needed to definitely characterize the cortical operating regime."],["dc.identifier.doi","10.1016/j.conb.2014.01.017"],["dc.identifier.fs","608952"],["dc.identifier.gro","3151885"],["dc.identifier.pmid","24658059"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/11351"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/8716"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","public"],["dc.notes.submitter","chake"],["dc.relation.issn","0959-4388"],["dc.relation.orgunit","Fakultät für Physik"],["dc.rights","CC BY-NC-SA 3.0"],["dc.rights.uri","http://creativecommons.org/licenses/by-nc-sa/3.0/"],["dc.title","Dynamical models of cortical circuits"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","7991"],["dc.bibliographiccitation.issue","25"],["dc.bibliographiccitation.journal","The Journal of neuroscience"],["dc.bibliographiccitation.lastpage","8004"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Strenzke, Nicola"],["dc.contributor.author","Chanda, Soham"],["dc.contributor.author","Kopp-Scheinpflug, Cornelia"],["dc.contributor.author","Khimich, Darina"],["dc.contributor.author","Reim, Kerstin"],["dc.contributor.author","Bulankina, Anna V."],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Brose, Nils"],["dc.contributor.author","Xu-Friedman, Matthew A."],["dc.contributor.author","Moser, Tobias"],["dc.date.accessioned","2017-09-07T11:47:26Z"],["dc.date.available","2017-09-07T11:47:26Z"],["dc.date.issued","2009"],["dc.description.abstract","Complexins (CPXs I-IV) presumably act as regulators of the SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) complex, but their function in the intact mammalian nervous system is not well established. Here, we explored the role of CPXs in the mouse auditory system. Hearing was impaired in CPXI knock-out mice but normal in knock-out mice for CPXs II, III, IV, and III/IV as measured by auditory brainstem responses. Complexins were not detectable in cochlear hair cells but CPX I was expressed in spiral ganglion neurons (SGNs) that give rise to the auditory nerve. Ca(2+)-dependent exocytosis of inner hair cells and sound encoding by SGNs were unaffected in CPX I knock-out mice. In the absence of CPX I, the resting release probability in the endbulb of Held synapses of the auditory nerve fibers with bushy cells in the cochlear nucleus was reduced. As predicted by computational modeling, bushy cells had decreased spike rates at sound onset as well as longer and more variable first spike latencies explaining the abnormal auditory brainstem responses. In addition, we found synaptic transmission to outlast the stimulus at many endbulb of Held synapses in vitro and in vivo, suggesting impaired synchronization of release to stimulus offset. Although sound encoding in the cochlea proceeds in the absence of complexins, CPX I is required for faithful processing of sound onset and offset in the cochlear nucleus."],["dc.identifier.doi","10.1523/JNEUROSCI.0632-09.2009"],["dc.identifier.gro","3143100"],["dc.identifier.isi","000267339000006"],["dc.identifier.pmid","19553439"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/577"],["dc.notes.intern","WoS Import 2017-03-10"],["dc.notes.status","final"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Soc Neuroscience"],["dc.relation.issn","0270-6474"],["dc.title","Complexin-I Is Required for High-Fidelity Transmission at the Endbulb of Held Auditory Synapse"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","eaau8621"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Science Advances"],["dc.bibliographiccitation.volume","4"],["dc.contributor.author","Lazarov, Elinor"],["dc.contributor.author","Dannemeyer, Melanie"],["dc.contributor.author","Feulner, Barbara"],["dc.contributor.author","Enderlein, Jörg"],["dc.contributor.author","Gutnick, Michael J."],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Neef, Andreas"],["dc.date.accessioned","2020-12-10T18:36:39Z"],["dc.date.available","2020-12-10T18:36:39Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1126/sciadv.aau8621"],["dc.identifier.eissn","2375-2548"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/76701"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","An axon initial segment is required for temporal precision in action potential encoding by neuronal populations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","7790"],["dc.bibliographiccitation.issue","39"],["dc.bibliographiccitation.journal","The Journal of Neuroscience"],["dc.bibliographiccitation.lastpage","7800"],["dc.bibliographiccitation.volume","39"],["dc.contributor.author","Revah, Omer"],["dc.contributor.author","Stoler, Ohad"],["dc.contributor.author","Neef, Andreas"],["dc.contributor.author","Wolf, Fred"],["dc.contributor.author","Fleidervish, Ilya A."],["dc.contributor.author","Gutnick, Michael J."],["dc.date.accessioned","2020-12-10T18:42:36Z"],["dc.date.available","2020-12-10T18:42:36Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1523/JNEUROSCI.3147-18.2019"],["dc.identifier.eissn","1529-2401"],["dc.identifier.issn","0270-6474"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78019"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Dynamic Gain Analysis Reveals Encoding Deficiencies in Cortical Neurons That Recover from Hypoxia-Induced Spreading Depolarizations"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]