[{"date_updated":"2023-09-20T11:31:48Z","ddc":["571"],"department":[{"_id":"PeJo"},{"_id":"JoCs"}],"file_date_updated":"2018-12-12T10:08:56Z","_id":"1118","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","pubrep_id":"752","publication_status":"published","file":[{"date_created":"2018-12-12T10:08:56Z","file_name":"IST-2017-752-v1+1_1-s2.0-S0896627316309606-main.pdf","creator":"system","date_updated":"2018-12-12T10:08:56Z","file_size":2738950,"file_id":"4719","access_level":"open_access","relation":"main_file","content_type":"application/pdf"}],"language":[{"iso":"eng"}],"volume":93,"issue":"2","ec_funded":1,"acknowledged_ssus":[{"_id":"M-Shop"},{"_id":"ScienComp"},{"_id":"PreCl"}],"abstract":[{"text":"Sharp wave-ripple (SWR) oscillations play a key role in memory consolidation during non-rapid eye movement sleep, immobility, and consummatory behavior. However, whether temporally modulated synaptic excitation or inhibition underlies the ripples is controversial. To address this question, we performed simultaneous recordings of excitatory and inhibitory postsynaptic currents (EPSCs and IPSCs) and local field potentials (LFPs) in the CA1 region of awake mice in vivo. During SWRs, inhibition dominated over excitation, with a peak conductance ratio of 4.1 ± 0.5. Furthermore, the amplitude of SWR-associated IPSCs was positively correlated with SWR magnitude, whereas that of EPSCs was not. Finally, phase analysis indicated that IPSCs were phase-locked to individual ripple cycles, whereas EPSCs were uniformly distributed in phase space. Optogenetic inhibition indicated that PV+ interneurons provided a major contribution to SWR-associated IPSCs. Thus, phasic inhibition, but not excitation, shapes SWR oscillations in the hippocampal CA1 region in vivo.","lang":"eng"}],"oa_version":"Published Version","scopus_import":"1","month":"01","intvolume":" 93","citation":{"ista":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. 2017. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 93(2), 308–314.","chicago":"Gan, Jian, Shih-Ming Weng, Alejandro Pernia-Andrade, Jozsef L Csicsvari, and Peter M Jonas. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron. Elsevier, 2017. https://doi.org/10.1016/j.neuron.2016.12.018.","apa":"Gan, J., Weng, S.-M., Pernia-Andrade, A., Csicsvari, J. L., & Jonas, P. M. (2017). Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2016.12.018","ama":"Gan J, Weng S-M, Pernia-Andrade A, Csicsvari JL, Jonas PM. Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo. Neuron. 2017;93(2):308-314. doi:10.1016/j.neuron.2016.12.018","ieee":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J. L. Csicsvari, and P. M. Jonas, “Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo,” Neuron, vol. 93, no. 2. Elsevier, pp. 308–314, 2017.","short":"J. Gan, S.-M. Weng, A. Pernia-Andrade, J.L. Csicsvari, P.M. Jonas, Neuron 93 (2017) 308–314.","mla":"Gan, Jian, et al. “Phase-Locked Inhibition, but Not Excitation, Underlies Hippocampal Ripple Oscillations in Awake Mice in Vivo.” Neuron, vol. 93, no. 2, Elsevier, 2017, pp. 308–14, doi:10.1016/j.neuron.2016.12.018."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publist_id":"6244","author":[{"last_name":"Gan","full_name":"Gan, Jian","id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian"},{"first_name":"Shih-Ming","id":"2F9C5AC8-F248-11E8-B48F-1D18A9856A87","last_name":"Weng","full_name":"Weng, Shih-Ming"},{"first_name":"Alejandro","id":"36963E98-F248-11E8-B48F-1D18A9856A87","last_name":"Pernia-Andrade","full_name":"Pernia-Andrade, Alejandro"},{"last_name":"Csicsvari","full_name":"Csicsvari, Jozsef L","orcid":"0000-0002-5193-4036","id":"3FA14672-F248-11E8-B48F-1D18A9856A87","first_name":"Jozsef L"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","last_name":"Jonas","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M"}],"external_id":{"isi":["000396428200010"]},"article_processing_charge":"No","title":"Phase-locked inhibition, but not excitation, underlies hippocampal ripple oscillations in awake mice in vivo","project":[{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","grant_number":"P24909-B24","name":"Mechanisms of transmitter release at GABAergic synapses"},{"call_identifier":"FP7","_id":"25C0F108-B435-11E9-9278-68D0E5697425","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","grant_number":"268548"}],"isi":1,"has_accepted_license":"1","year":"2017","day":"18","publication":"Neuron","page":"308 - 314","doi":"10.1016/j.neuron.2016.12.018","date_published":"2017-01-18T00:00:00Z","date_created":"2018-12-11T11:50:15Z","publisher":"Elsevier","quality_controlled":"1","oa":1},{"language":[{"iso":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","file_id":"5033","checksum":"284b72b12fbe15474833ed3d4549f86b","file_size":905348,"date_updated":"2020-07-14T12:45:07Z","creator":"system","file_name":"IST-2016-469-v1+1_Kowalski_et_al-Hippocampus.pdf","date_created":"2018-12-12T10:13:47Z"}],"publication_status":"published","publication_identifier":{"issn":["1050-9631"],"eissn":["1098-1063"]},"issue":"5","volume":26,"oa_version":"Published Version","abstract":[{"lang":"eng","text":"The hippocampus plays a key role in learning and memory. Previous studies suggested that the main types of principal neurons, dentate gyrus granule cells (GCs), CA3 pyramidal neurons, and CA1 pyramidal neurons, differ in their activity pattern, with sparse firing in GCs and more frequent firing in CA3 and CA1 pyramidal neurons. It has been assumed but never shown that such different activity may be caused by differential synaptic excitation. To test this hypothesis, we performed high-resolution whole-cell patch-clamp recordings in anesthetized rats in vivo. In contrast to previous in vitro data, both CA3 and CA1 pyramidal neurons fired action potentials spontaneously, with a frequency of ∼3–6 Hz, whereas GCs were silent. Furthermore, both CA3 and CA1 cells primarily fired in bursts. To determine the underlying mechanisms, we quantitatively assessed the frequency of spontaneous excitatory synaptic input, the passive membrane properties, and the active membrane characteristics. Surprisingly, GCs showed comparable synaptic excitation to CA3 and CA1 cells and the highest ratio of excitation versus hyperpolarizing inhibition. Thus, differential synaptic excitation is not responsible for differences in firing. Moreover, the three types of hippocampal neurons markedly differed in their passive properties. While GCs showed the most negative membrane potential, CA3 pyramidal neurons had the highest input resistance and the slowest membrane time constant. The three types of neurons also differed in the active membrane characteristics. GCs showed the highest action potential threshold, but displayed the largest gain of the input-output curves. In conclusion, our results reveal that differential firing of the three main types of hippocampal principal neurons in vivo is not primarily caused by differences in the characteristics of the synaptic input, but by the distinct properties of synaptic integration and input-output transformation."}],"intvolume":" 26","month":"05","scopus_import":"1","ddc":["570"],"date_updated":"2023-10-17T10:02:02Z","department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:45:07Z","_id":"1616","pubrep_id":"469","status":"public","tmp":{"short":"CC BY-NC-ND (4.0)","name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","image":"/images/cc_by_nc_nd.png"},"type":"journal_article","publication":"Hippocampus","day":"01","year":"2016","has_accepted_license":"1","date_created":"2018-12-11T11:53:03Z","date_published":"2016-05-01T00:00:00Z","doi":"10.1002/hipo.22550","page":"668 - 682","acknowledgement":"The authors thank Jose Guzman for critically reading prior versions of the manuscript. They also thank T. Asenov for\r\nengineering mechanical devices, A. Schlögl for efficient pro-gramming, F. Marr for technical assistance, and E. Kramberger for manuscript editing.","oa":1,"quality_controlled":"1","publisher":"Wiley","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ama":"Kowalski J, Gan J, Jonas PM, Pernia-Andrade A. Intrinsic membrane properties determine hippocampal differential firing pattern in vivo in anesthetized rats. Hippocampus. 2016;26(5):668-682. doi:10.1002/hipo.22550","apa":"Kowalski, J., Gan, J., Jonas, P. M., & Pernia-Andrade, A. (2016). Intrinsic membrane properties determine hippocampal differential firing pattern in vivo in anesthetized rats. Hippocampus. Wiley. https://doi.org/10.1002/hipo.22550","ieee":"J. Kowalski, J. Gan, P. M. Jonas, and A. Pernia-Andrade, “Intrinsic membrane properties determine hippocampal differential firing pattern in vivo in anesthetized rats,” Hippocampus, vol. 26, no. 5. Wiley, pp. 668–682, 2016.","short":"J. Kowalski, J. Gan, P.M. Jonas, A. Pernia-Andrade, Hippocampus 26 (2016) 668–682.","mla":"Kowalski, Janina, et al. “Intrinsic Membrane Properties Determine Hippocampal Differential Firing Pattern in Vivo in Anesthetized Rats.” Hippocampus, vol. 26, no. 5, Wiley, 2016, pp. 668–82, doi:10.1002/hipo.22550.","ista":"Kowalski J, Gan J, Jonas PM, Pernia-Andrade A. 2016. Intrinsic membrane properties determine hippocampal differential firing pattern in vivo in anesthetized rats. Hippocampus. 26(5), 668–682.","chicago":"Kowalski, Janina, Jian Gan, Peter M Jonas, and Alejandro Pernia-Andrade. “Intrinsic Membrane Properties Determine Hippocampal Differential Firing Pattern in Vivo in Anesthetized Rats.” Hippocampus. Wiley, 2016. https://doi.org/10.1002/hipo.22550."},"title":"Intrinsic membrane properties determine hippocampal differential firing pattern in vivo in anesthetized rats","article_processing_charge":"No","publist_id":"5550","author":[{"id":"3F3CA136-F248-11E8-B48F-1D18A9856A87","first_name":"Janina","last_name":"Kowalski","full_name":"Kowalski, Janina"},{"id":"3614E438-F248-11E8-B48F-1D18A9856A87","first_name":"Jian","full_name":"Gan, Jian","last_name":"Gan"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","last_name":"Jonas","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804"},{"full_name":"Pernia-Andrade, Alejandro","last_name":"Pernia-Andrade","id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro"}]},{"date_updated":"2021-01-12T06:56:19Z","ddc":["570"],"department":[{"_id":"PeJo"}],"file_date_updated":"2020-07-14T12:45:35Z","_id":"2254","type":"journal_article","pubrep_id":"422","status":"public","publication_status":"published","publication_identifier":{"issn":["08966273"]},"language":[{"iso":"eng"}],"file":[{"date_updated":"2020-07-14T12:45:35Z","file_size":4373072,"creator":"system","date_created":"2018-12-12T10:09:48Z","file_name":"IST-2016-422-v1+1_1-s2.0-S0896627313009227-main.pdf","content_type":"application/pdf","access_level":"open_access","relation":"main_file","checksum":"438547cfcd9045a22f065f2019f07849","file_id":"4773"}],"ec_funded":1,"issue":"1","volume":81,"abstract":[{"text":"Theta-gamma network oscillations are thought to represent key reference signals for information processing in neuronal ensembles, but the underlying synaptic mechanisms remain unclear. To address this question, we performed whole-cell (WC) patch-clamp recordings from mature hippocampal granule cells (GCs) in vivo in the dentate gyrus of anesthetized and awake rats. GCs in vivo fired action potentials at low frequency, consistent with sparse coding in the dentate gyrus. GCs were exposed to barrages of fast AMPAR-mediated excitatory postsynaptic currents (EPSCs), primarily relayed from the entorhinal cortex, and inhibitory postsynaptic currents (IPSCs), presumably generated by local interneurons. EPSCs exhibited coherence with the field potential predominantly in the theta frequency band, whereas IPSCs showed coherence primarily in the gamma range. Action potentials in GCs were phase locked to network oscillations. Thus, theta-gamma-modulated synaptic currents may provide a framework for sparse temporal coding of information in the dentate gyrus.","lang":"eng"}],"oa_version":"Published Version","scopus_import":1,"intvolume":" 81","month":"01","citation":{"apa":"Pernia-Andrade, A., & Jonas, P. M. (2014). Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2013.09.046","ama":"Pernia-Andrade A, Jonas PM. Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. Neuron. 2014;81(1):140-152. doi:10.1016/j.neuron.2013.09.046","short":"A. Pernia-Andrade, P.M. Jonas, Neuron 81 (2014) 140–152.","ieee":"A. Pernia-Andrade and P. M. Jonas, “Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations,” Neuron, vol. 81, no. 1. Elsevier, pp. 140–152, 2014.","mla":"Pernia-Andrade, Alejandro, and Peter M. Jonas. “Theta-Gamma-Modulated Synaptic Currents in Hippocampal Granule Cells in Vivo Define a Mechanism for Network Oscillations.” Neuron, vol. 81, no. 1, Elsevier, 2014, pp. 140–52, doi:10.1016/j.neuron.2013.09.046.","ista":"Pernia-Andrade A, Jonas PM. 2014. Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations. Neuron. 81(1), 140–152.","chicago":"Pernia-Andrade, Alejandro, and Peter M Jonas. “Theta-Gamma-Modulated Synaptic Currents in Hippocampal Granule Cells in Vivo Define a Mechanism for Network Oscillations.” Neuron. Elsevier, 2014. https://doi.org/10.1016/j.neuron.2013.09.046."},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","author":[{"id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro","full_name":"Pernia-Andrade, Alejandro","last_name":"Pernia-Andrade"},{"id":"353C1B58-F248-11E8-B48F-1D18A9856A87","first_name":"Peter M","orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas"}],"publist_id":"4692","title":"Theta-gamma-modulated synaptic currents in hippocampal granule cells in vivo define a mechanism for network oscillations","project":[{"grant_number":"268548","name":"Nanophysiology of fast-spiking, parvalbumin-expressing GABAergic interneurons","_id":"25C0F108-B435-11E9-9278-68D0E5697425","call_identifier":"FP7"},{"_id":"25C26B1E-B435-11E9-9278-68D0E5697425","call_identifier":"FWF","name":"Mechanisms of transmitter release at GABAergic synapses","grant_number":"P24909-B24"}],"year":"2014","has_accepted_license":"1","publication":"Neuron","day":"08","page":"140 - 152","date_created":"2018-12-11T11:56:35Z","doi":"10.1016/j.neuron.2013.09.046","date_published":"2014-01-08T00:00:00Z","oa":1,"publisher":"Elsevier","quality_controlled":"1"},{"oa":1,"publisher":"Biophysical","quality_controlled":"1","acknowledgement":"This work was supported by the Deutsche Forschungsgemeinschaft (TR3/B10) and a European Research Council Advanced grant to P.J.\r\nWe thank H. Hu, S. J. Guzman, and C. Schmidt-Hieber for critically reading the manuscript, I. Koeva and F. Marr for technical support, and E. Kramberger for editorial assistance.\r\n","date_created":"2018-12-11T12:00:32Z","date_published":"2012-10-03T00:00:00Z","doi":"10.1016/j.bpj.2012.08.039","page":"1429 - 1439","publication":"Biophysical Journal","day":"03","year":"2012","project":[{"grant_number":"SFB-TR3-TP10B","name":"Glutamaterge synaptische Übertragung und Plastizität in hippocampalen Mikroschaltkreisen","_id":"25BDE9A4-B435-11E9-9278-68D0E5697425"}],"title":"A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo","external_id":{"pmid":["23062335"]},"publist_id":"3774","author":[{"id":"36963E98-F248-11E8-B48F-1D18A9856A87","first_name":"Alejandro","full_name":"Pernia-Andrade, Alejandro","last_name":"Pernia-Andrade"},{"last_name":"Goswami","full_name":"Goswami, Sarit","first_name":"Sarit","id":"3A578F32-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Stickler, Yvonne","last_name":"Stickler","first_name":"Yvonne","id":"63B76600-E9CC-11E9-9B5F-82450873F7A1"},{"last_name":"Fröbe","full_name":"Fröbe, Ulrich","first_name":"Ulrich"},{"id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois","last_name":"Schlögl","orcid":"0000-0002-5621-8100","full_name":"Schlögl, Alois"},{"first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87","full_name":"Jonas, Peter M","orcid":"0000-0001-5001-4804","last_name":"Jonas"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","citation":{"ista":"Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. 2012. A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. 103(7), 1429–1439.","chicago":"Pernia-Andrade, Alejandro, Sarit Goswami, Yvonne Stickler, Ulrich Fröbe, Alois Schlögl, and Peter M Jonas. “A Deconvolution Based Method with High Sensitivity and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro and in Vivo.” Biophysical Journal. Biophysical, 2012. https://doi.org/10.1016/j.bpj.2012.08.039.","ama":"Pernia-Andrade A, Goswami S, Stickler Y, Fröbe U, Schlögl A, Jonas PM. A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. 2012;103(7):1429-1439. doi:10.1016/j.bpj.2012.08.039","apa":"Pernia-Andrade, A., Goswami, S., Stickler, Y., Fröbe, U., Schlögl, A., & Jonas, P. M. (2012). A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo. Biophysical Journal. Biophysical. https://doi.org/10.1016/j.bpj.2012.08.039","ieee":"A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, and P. M. Jonas, “A deconvolution based method with high sensitivity and temporal resolution for detection of spontaneous synaptic currents in vitro and in vivo,” Biophysical Journal, vol. 103, no. 7. Biophysical, pp. 1429–1439, 2012.","short":"A. Pernia-Andrade, S. Goswami, Y. Stickler, U. Fröbe, A. Schlögl, P.M. Jonas, Biophysical Journal 103 (2012) 1429–1439.","mla":"Pernia-Andrade, Alejandro, et al. “A Deconvolution Based Method with High Sensitivity and Temporal Resolution for Detection of Spontaneous Synaptic Currents in Vitro and in Vivo.” Biophysical Journal, vol. 103, no. 7, Biophysical, 2012, pp. 1429–39, doi:10.1016/j.bpj.2012.08.039."},"intvolume":" 103","month":"10","main_file_link":[{"url":"http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3471482/","open_access":"1"}],"scopus_import":1,"pmid":1,"oa_version":"Submitted Version","abstract":[{"lang":"eng","text":"Spontaneous postsynaptic currents (PSCs) provide key information about the mechanisms of synaptic transmission and the activity modes of neuronal networks. However, detecting spontaneous PSCs in vitro and in vivo has been challenging, because of the small amplitude, the variable kinetics, and the undefined time of generation of these events. Here, we describe a, to our knowledge, new method for detecting spontaneous synaptic events by deconvolution, using a template that approximates the average time course of spontaneous PSCs. A recorded PSC trace is deconvolved from the template, resulting in a series of delta-like functions. The maxima of these delta-like events are reliably detected, revealing the precise onset times of the spontaneous PSCs. Among all detection methods, the deconvolution-based method has a unique temporal resolution, allowing the detection of individual events in high-frequency bursts. Furthermore, the deconvolution-based method has a high amplitude resolution, because deconvolution can substantially increase the signal/noise ratio. When tested against previously published methods using experimental data, the deconvolution-based method was superior for spontaneous PSCs recorded in vivo. Using the high-resolution deconvolution-based detection algorithm, we show that the frequency of spontaneous excitatory postsynaptic currents in dentate gyrus granule cells is 4.5 times higher in vivo than in vitro."}],"volume":103,"issue":"7","language":[{"iso":"eng"}],"publication_status":"published","status":"public","type":"journal_article","_id":"2954","department":[{"_id":"PeJo"},{"_id":"ScienComp"}],"date_updated":"2021-01-12T07:40:01Z"},{"scopus_import":1,"publisher":"Elsevier","quality_controlled":"1","month":"01","intvolume":" 69","abstract":[{"text":"Rab3 interacting molecules (RIMs) are highly enriched in the active zones of presynaptic terminals. It is generally thought that they operate as effectors of the small G protein Rab3. Three recent papers, by Han et al. (this issue of Neuron), Deng et al. (this issue of Neuron), and Kaeser et al. (a recent issue of Cell), shed new light on the functional role of RIM in presynaptic terminals. First, RIM tethers Ca2+ channels to active zones. Second, RIM contributes to priming of synaptic vesicles by interacting with another presynaptic protein, Munc13.","lang":"eng"}],"oa_version":"None","page":"185 - 187","date_published":"2011-01-27T00:00:00Z","issue":"2","volume":69,"doi":"10.1016/j.neuron.2011.01.010","date_created":"2018-12-11T12:02:56Z","year":"2011","publication_status":"published","day":"27","publication":"Neuron","language":[{"iso":"eng"}],"type":"journal_article","status":"public","_id":"3369","publist_id":"3243","author":[{"last_name":"Pernia-Andrade","full_name":"Pernia-Andrade, Alejandro","first_name":"Alejandro","id":"36963E98-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0001-5001-4804","full_name":"Jonas, Peter M","last_name":"Jonas","first_name":"Peter M","id":"353C1B58-F248-11E8-B48F-1D18A9856A87"}],"title":"The multiple faces of RIM","department":[{"_id":"PeJo"}],"citation":{"ieee":"A. Pernia-Andrade and P. M. Jonas, “The multiple faces of RIM,” Neuron, vol. 69, no. 2. Elsevier, pp. 185–187, 2011.","short":"A. Pernia-Andrade, P.M. Jonas, Neuron 69 (2011) 185–187.","apa":"Pernia-Andrade, A., & Jonas, P. M. (2011). The multiple faces of RIM. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2011.01.010","ama":"Pernia-Andrade A, Jonas PM. The multiple faces of RIM. Neuron. 2011;69(2):185-187. doi:10.1016/j.neuron.2011.01.010","mla":"Pernia-Andrade, Alejandro, and Peter M. Jonas. “The Multiple Faces of RIM.” Neuron, vol. 69, no. 2, Elsevier, 2011, pp. 185–87, doi:10.1016/j.neuron.2011.01.010.","ista":"Pernia-Andrade A, Jonas PM. 2011. The multiple faces of RIM. Neuron. 69(2), 185–187.","chicago":"Pernia-Andrade, Alejandro, and Peter M Jonas. “The Multiple Faces of RIM.” Neuron. Elsevier, 2011. https://doi.org/10.1016/j.neuron.2011.01.010."},"date_updated":"2021-01-12T07:43:00Z","user_id":"4435EBFC-F248-11E8-B48F-1D18A9856A87"}]