Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology
Objective. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be diffi...
Saved in:
| Published in | Journal of neural engineering Vol. 14; no. 4; pp. 45003 - 45015 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
England
IOP Publishing
01.08.2017
|
| Subjects | |
| Online Access | Get full text |
Cover
Loading…
| Abstract | Objective. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be difficult to replicate across laboratories. We sought to overcome this limitation by building open-source software that makes it easier to develop and share algorithms for closed-loop control. Approach. We created the Open Ephys GUI, an open-source platform for multichannel electrophysiology experiments. In addition to the standard 'open-loop' visualization and recording functionality, the GUI also includes modules for delivering feedback in response to events detected in the incoming data stream. Importantly, these modules can be built and shared as plugins, which makes it possible for users to extend the functionality of the GUI through a simple API, without having to understand the inner workings of the entire application. Main results. In combination with low-cost, open-source hardware for amplifying and digitizing neural signals, the GUI has been used for closed-loop experiments that perturb the hippocampal theta rhythm in a phase-specific manner. Significance. The Open Ephys GUI is the first widely used application for multichannel electrophysiology that leverages a plugin-based workflow. We hope that it will lower the barrier to entry for electrophysiologists who wish to incorporate real-time feedback into their research. |
|---|---|
| AbstractList | Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be difficult to replicate across laboratories. We sought to overcome this limitation by building open-source software that makes it easier to develop and share algorithms for closed-loop control.
We created the Open Ephys GUI, an open-source platform for multichannel electrophysiology experiments. In addition to the standard 'open-loop' visualization and recording functionality, the GUI also includes modules for delivering feedback in response to events detected in the incoming data stream. Importantly, these modules can be built and shared as plugins, which makes it possible for users to extend the functionality of the GUI through a simple API, without having to understand the inner workings of the entire application.
In combination with low-cost, open-source hardware for amplifying and digitizing neural signals, the GUI has been used for closed-loop experiments that perturb the hippocampal theta rhythm in a phase-specific manner.
The Open Ephys GUI is the first widely used application for multichannel electrophysiology that leverages a plugin-based workflow. We hope that it will lower the barrier to entry for electrophysiologists who wish to incorporate real-time feedback into their research. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be difficult to replicate across laboratories. We sought to overcome this limitation by building open-source software that makes it easier to develop and share algorithms for closed-loop control.OBJECTIVEClosed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be difficult to replicate across laboratories. We sought to overcome this limitation by building open-source software that makes it easier to develop and share algorithms for closed-loop control.We created the Open Ephys GUI, an open-source platform for multichannel electrophysiology experiments. In addition to the standard 'open-loop' visualization and recording functionality, the GUI also includes modules for delivering feedback in response to events detected in the incoming data stream. Importantly, these modules can be built and shared as plugins, which makes it possible for users to extend the functionality of the GUI through a simple API, without having to understand the inner workings of the entire application.APPROACHWe created the Open Ephys GUI, an open-source platform for multichannel electrophysiology experiments. In addition to the standard 'open-loop' visualization and recording functionality, the GUI also includes modules for delivering feedback in response to events detected in the incoming data stream. Importantly, these modules can be built and shared as plugins, which makes it possible for users to extend the functionality of the GUI through a simple API, without having to understand the inner workings of the entire application.In combination with low-cost, open-source hardware for amplifying and digitizing neural signals, the GUI has been used for closed-loop experiments that perturb the hippocampal theta rhythm in a phase-specific manner.MAIN RESULTSIn combination with low-cost, open-source hardware for amplifying and digitizing neural signals, the GUI has been used for closed-loop experiments that perturb the hippocampal theta rhythm in a phase-specific manner.The Open Ephys GUI is the first widely used application for multichannel electrophysiology that leverages a plugin-based workflow. We hope that it will lower the barrier to entry for electrophysiologists who wish to incorporate real-time feedback into their research.SIGNIFICANCEThe Open Ephys GUI is the first widely used application for multichannel electrophysiology that leverages a plugin-based workflow. We hope that it will lower the barrier to entry for electrophysiologists who wish to incorporate real-time feedback into their research. Objective. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in neuroscience. Such experiments can have a high degree of explanatory power, but they require a precise implementation that can be difficult to replicate across laboratories. We sought to overcome this limitation by building open-source software that makes it easier to develop and share algorithms for closed-loop control. Approach. We created the Open Ephys GUI, an open-source platform for multichannel electrophysiology experiments. In addition to the standard 'open-loop' visualization and recording functionality, the GUI also includes modules for delivering feedback in response to events detected in the incoming data stream. Importantly, these modules can be built and shared as plugins, which makes it possible for users to extend the functionality of the GUI through a simple API, without having to understand the inner workings of the entire application. Main results. In combination with low-cost, open-source hardware for amplifying and digitizing neural signals, the GUI has been used for closed-loop experiments that perturb the hippocampal theta rhythm in a phase-specific manner. Significance. The Open Ephys GUI is the first widely used application for multichannel electrophysiology that leverages a plugin-based workflow. We hope that it will lower the barrier to entry for electrophysiologists who wish to incorporate real-time feedback into their research. |
| Author | Siegle, Joshua H Abramov, Kirill López, Aarón Cuevas Patel, Yogi A Voigts, Jakob Ohayon, Shay |
| Author_xml | – sequence: 1 givenname: Joshua H surname: Siegle fullname: Siegle, Joshua H email: joshs@alleninstitute.org organization: Allen Institute for Brain Science , 615 Westlake Ave N, Seattle, WA 98109, jsiegle on GitHub United States of America – sequence: 2 givenname: Aarón Cuevas surname: López fullname: López, Aarón Cuevas organization: Instituto de Neurociencias CSIC-UMH , Avenida Santiago Ramon y Cajal, s/n, 03550 Sant Joan d'Alacant, Alicante, aacuevas on GitHub Spain – sequence: 3 givenname: Yogi A surname: Patel fullname: Patel, Yogi A organization: Georgia Institute of Technology , North Ave NW, Atlanta, GA 30332, yapatel on GitHub United States of America – sequence: 4 givenname: Kirill surname: Abramov fullname: Abramov, Kirill organization: Zaporizhzhya State Engineering Academy , 69006, Sobornyi Ave, 226, Zaporizhia, Zaporiz'ka oblast, septen on GitHub Ukraine – sequence: 5 givenname: Shay surname: Ohayon fullname: Ohayon, Shay organization: Massachusetts Institute of Technology , 77 Massachusetts Ave, Cambridge, MA 02139, shayo and jvoigts on GitHub United States of America – sequence: 6 givenname: Jakob surname: Voigts fullname: Voigts, Jakob organization: Massachusetts Institute of Technology , 77 Massachusetts Ave, Cambridge, MA 02139, shayo and jvoigts on GitHub United States of America |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28169219$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9kc9v2yAYhtGUqk3T3neafFsPcctng2N2m6ruh1Spl_aMMHxOiTB4YB_y348obQ7T1Avwoed9hR4uycIHj4R8BnoLtG3vYMOgrDiv7pTiiOoTWZ6uFqdzQy_IZUo7SmvYCHpOLqoWGlGBWJLnpxF98TC-7tO3Qvki5LFMYY4a18Xo5q31ZacSmjyoqQ9xKPJSDLObrH5V3qMr0KGeYjh02ODCdn9FznrlEl6_7Svy8uPh-f5X-fj08_f998dSM6BTybXRyDpOTbsx-T0bLrgwVNCqrqHhtUAOhnUGtK4AjehN1WmmeAfIsWZ1vSI3x94xhj8zpkkONml0TnkMc5LQNrwF0eTCFfnyhs7dgEaO0Q4q7uW7iQzQI6BjSClif0KAyoNsebApD2blUXaONP9EtJ3UZIOforLuo-D6GLRhlLss22dLH-Ff_4PvPEpgkknKeP5ZOZq-_gsJiZ_g |
| CODEN | JNEIEZ |
| CitedBy_id | crossref_primary_10_3389_fnins_2019_01193 crossref_primary_10_1016_j_celrep_2021_109772 crossref_primary_10_1016_j_neuron_2019_05_022 crossref_primary_10_1038_s41592_024_02521_1 crossref_primary_10_1016_j_celrep_2019_04_080 crossref_primary_10_1016_j_cub_2021_09_025 crossref_primary_10_1038_s41593_022_01203_5 crossref_primary_10_1038_s41398_021_01448_x crossref_primary_10_1016_j_celrep_2023_112022 crossref_primary_10_1038_s42003_022_04261_4 crossref_primary_10_1002_cne_25493 crossref_primary_10_3389_fimmu_2022_880647 crossref_primary_10_1016_j_cub_2020_04_042 crossref_primary_10_1038_s41467_023_39081_5 crossref_primary_10_1073_pnas_2002080117 crossref_primary_10_1088_1741_2552_ab77fa crossref_primary_10_1038_s41467_018_08183_w crossref_primary_10_1523_ENEURO_0343_20_2021 crossref_primary_10_7554_eLife_61909 crossref_primary_10_1016_j_cub_2022_08_050 crossref_primary_10_3389_fncir_2022_972157 crossref_primary_10_1088_2057_1976_ab6e20 crossref_primary_10_3389_fncir_2020_576727 crossref_primary_10_3389_fnins_2022_968839 crossref_primary_10_7554_eLife_78362 crossref_primary_10_2139_ssrn_4048696 crossref_primary_10_1523_JNEUROSCI_1877_20_2020 crossref_primary_10_7554_eLife_88289 crossref_primary_10_1088_1741_2552_adbb20 crossref_primary_10_7554_eLife_69068 crossref_primary_10_3390_vision4020022 crossref_primary_10_1038_s41597_019_0242_z crossref_primary_10_1007_s12021_024_09705_2 crossref_primary_10_1016_j_celrep_2024_114733 crossref_primary_10_1038_s42003_024_07345_5 crossref_primary_10_1108_JET_05_2022_0039 crossref_primary_10_3389_fninf_2022_823056 crossref_primary_10_3389_fninf_2024_1448161 crossref_primary_10_1038_s41380_024_02528_2 crossref_primary_10_1016_j_neures_2020_01_002 crossref_primary_10_1073_pnas_2318849121 crossref_primary_10_1016_j_jneumeth_2020_108761 crossref_primary_10_1016_j_neuron_2020_01_040 crossref_primary_10_1016_j_neuron_2025_02_006 crossref_primary_10_3390_vision6040062 crossref_primary_10_2139_ssrn_3956657 crossref_primary_10_1007_s40732_024_00622_z crossref_primary_10_1038_s41467_020_17500_1 crossref_primary_10_1152_jn_00172_2021 crossref_primary_10_7554_eLife_65495 crossref_primary_10_1016_j_jneumeth_2022_109622 crossref_primary_10_1109_JSSC_2024_3443254 crossref_primary_10_1038_s41467_021_24310_6 crossref_primary_10_1038_s41592_021_01285_2 crossref_primary_10_1016_j_ecoinf_2021_101290 crossref_primary_10_1038_s41596_023_00871_2 crossref_primary_10_3389_fnins_2023_1175575 crossref_primary_10_1016_j_jneumeth_2020_108755 crossref_primary_10_1523_ENEURO_0223_19_2019 crossref_primary_10_3390_s21082605 crossref_primary_10_7554_eLife_70661 crossref_primary_10_7554_eLife_77973 crossref_primary_10_1038_s41593_019_0357_8 crossref_primary_10_1088_1741_2552_ac620d crossref_primary_10_3390_mi9030131 crossref_primary_10_1038_s41467_022_28153_7 crossref_primary_10_1016_j_neuron_2019_09_023 crossref_primary_10_1152_jn_00389_2019 crossref_primary_10_7554_eLife_79471 crossref_primary_10_1016_j_neuroimage_2020_117314 crossref_primary_10_1016_j_jphs_2020_11_006 crossref_primary_10_1093_brain_awab479 crossref_primary_10_1038_s41593_019_0474_4 crossref_primary_10_1016_j_cub_2021_06_094 crossref_primary_10_1038_s41467_023_41746_0 crossref_primary_10_35784_iapgos_688 crossref_primary_10_1088_1741_2552_acd0d7 crossref_primary_10_3389_fnins_2019_01394 crossref_primary_10_1016_j_crmeth_2023_100482 crossref_primary_10_1093_cercor_bhab040 crossref_primary_10_1108_INMR_06_2018_0036 crossref_primary_10_1523_JNEUROSCI_0691_24_2024 crossref_primary_10_1021_acsabm_9b00809 crossref_primary_10_1073_pnas_2312913120 crossref_primary_10_1523_ENEURO_0340_19_2019 crossref_primary_10_1038_s41593_024_01633_3 crossref_primary_10_3758_s13428_022_02049_2 crossref_primary_10_3389_fncir_2021_618881 crossref_primary_10_1016_j_neuron_2019_02_010 crossref_primary_10_1016_j_neuron_2019_10_011 crossref_primary_10_1016_j_cub_2023_09_062 crossref_primary_10_1016_j_neuron_2020_09_017 crossref_primary_10_1038_s41586_020_03171_x crossref_primary_10_1523_ENEURO_0502_19_2020 crossref_primary_10_1016_j_neuron_2019_10_016 crossref_primary_10_1038_s41596_022_00768_6 crossref_primary_10_1038_s41593_023_01488_0 crossref_primary_10_3390_brainsci10050277 crossref_primary_10_3389_fphar_2024_1412725 crossref_primary_10_1016_j_celrep_2019_11_011 crossref_primary_10_1038_s41586_020_03166_8 crossref_primary_10_1103_PhysRevE_110_024401 crossref_primary_10_1038_s41467_023_43139_9 crossref_primary_10_7554_eLife_66551 crossref_primary_10_1016_j_neuron_2023_05_008 crossref_primary_10_1103_PhysRevE_110_014402 crossref_primary_10_1016_j_cub_2024_06_036 crossref_primary_10_1016_j_clinph_2018_07_011 crossref_primary_10_1088_1741_2552_aae39d crossref_primary_10_1016_j_cub_2020_10_050 crossref_primary_10_1523_ENEURO_0283_22_2022 crossref_primary_10_3389_fncir_2021_647856 crossref_primary_10_1073_pnas_2313590121 crossref_primary_10_1038_s41467_020_18199_w crossref_primary_10_1038_s41467_022_35028_4 crossref_primary_10_1523_JNEUROSCI_0121_24_2024 crossref_primary_10_1007_s12264_022_00965_z crossref_primary_10_1093_cercor_bhae334 crossref_primary_10_7554_eLife_77772 crossref_primary_10_1038_s41596_021_00539_9 crossref_primary_10_1523_ENEURO_0469_22_2023 crossref_primary_10_3389_fncir_2020_553208 crossref_primary_10_7554_eLife_63705 crossref_primary_10_1523_JNEUROSCI_1884_22_2023 crossref_primary_10_1038_s41380_025_02894_5 crossref_primary_10_1038_s41598_020_77929_8 crossref_primary_10_1016_j_tibtech_2024_07_015 crossref_primary_10_3389_fnhum_2022_870103 crossref_primary_10_1523_ENEURO_0212_20_2020 crossref_primary_10_7554_eLife_80263 crossref_primary_10_1016_j_celrep_2023_113482 crossref_primary_10_1088_1741_2552_ac6771 crossref_primary_10_1007_s00213_022_06284_5 crossref_primary_10_1038_s41467_024_48338_6 crossref_primary_10_1152_jn_00121_2024 crossref_primary_10_1038_s41596_022_00758_8 crossref_primary_10_3389_fnins_2021_718311 crossref_primary_10_1038_s41467_024_51861_1 crossref_primary_10_3389_fnins_2021_691788 crossref_primary_10_1016_j_heliyon_2020_e04867 crossref_primary_10_1152_jn_00595_2019 crossref_primary_10_1002_cne_25404 crossref_primary_10_1557_s43577_023_00537_0 crossref_primary_10_1088_1741_2552_ac310a crossref_primary_10_1038_s41598_023_35160_1 crossref_primary_10_1371_journal_pbio_3001931 crossref_primary_10_3389_fpsyt_2021_678103 crossref_primary_10_1523_ENEURO_0002_23_2023 crossref_primary_10_3389_fninf_2020_00021 crossref_primary_10_7554_eLife_67611 crossref_primary_10_1016_j_neuron_2021_08_002 crossref_primary_10_1088_1741_2552_ab3319 crossref_primary_10_7554_eLife_84630 crossref_primary_10_1093_cercor_bhad307 crossref_primary_10_1093_nc_niac004 crossref_primary_10_1093_brain_awad166 crossref_primary_10_1038_s41592_025_02614_5 crossref_primary_10_1364_OE_486754 crossref_primary_10_1109_TBCAS_2019_2943077 crossref_primary_10_1371_journal_pone_0271136 crossref_primary_10_1016_j_neuron_2024_06_015 crossref_primary_10_1016_j_bios_2022_114455 crossref_primary_10_3389_fninf_2019_00011 crossref_primary_10_1523_ENEURO_0256_20_2020 crossref_primary_10_1038_s41586_022_04894_9 crossref_primary_10_2196_16194 crossref_primary_10_1152_jn_00680_2018 crossref_primary_10_3389_fnins_2018_00047 crossref_primary_10_7554_eLife_65541 crossref_primary_10_3390_ani14030509 crossref_primary_10_1016_j_cell_2024_11_027 crossref_primary_10_1016_j_clinph_2021_06_024 crossref_primary_10_1080_01691864_2021_1957013 crossref_primary_10_1088_1741_2552_aacf45 crossref_primary_10_1113_JP279605 crossref_primary_10_1088_1741_2552_ac857b crossref_primary_10_1016_j_neuron_2021_05_019 crossref_primary_10_1088_1361_6579_aaad51 crossref_primary_10_1038_s41597_022_01728_1 crossref_primary_10_7554_eLife_53552 crossref_primary_10_1088_1741_2552_ab581a crossref_primary_10_1016_j_celrep_2022_111190 crossref_primary_10_7554_eLife_68803 crossref_primary_10_1038_s41586_024_07397_x crossref_primary_10_3389_fncel_2019_00141 crossref_primary_10_1016_j_bpr_2024_100185 crossref_primary_10_1038_s41593_024_01715_2 crossref_primary_10_1093_gigascience_giad049 crossref_primary_10_1038_s41598_019_39724_y crossref_primary_10_3389_fcell_2021_720078 crossref_primary_10_1038_s41596_020_0318_4 crossref_primary_10_1248_bpb_b20_00932 crossref_primary_10_3902_jnns_27_127 crossref_primary_10_1016_j_cub_2021_04_039 crossref_primary_10_1016_j_visres_2025_108583 crossref_primary_10_7554_eLife_70023 crossref_primary_10_1016_j_isci_2023_108327 crossref_primary_10_1016_j_cub_2023_03_032 crossref_primary_10_3389_fncir_2018_00075 crossref_primary_10_1186_s13195_023_01287_6 crossref_primary_10_1038_s41598_020_60873_y crossref_primary_10_1523_JNEUROSCI_1140_24_2024 crossref_primary_10_7554_eLife_84630_3 crossref_primary_10_1016_j_xpro_2021_100795 crossref_primary_10_1088_2057_1976_ab9fed crossref_primary_10_1088_1741_2552_acf5a4 crossref_primary_10_1016_j_cub_2022_06_046 crossref_primary_10_1038_s42003_023_05093_6 crossref_primary_10_1242_dmm_047449 crossref_primary_10_3390_bios13020265 crossref_primary_10_1126_sciadv_abd5684 crossref_primary_10_1038_s41586_024_07538_2 crossref_primary_10_1126_sciadv_aaz4232 crossref_primary_10_1016_j_isci_2022_105814 crossref_primary_10_7554_eLife_61834 crossref_primary_10_1038_s41598_021_81127_5 crossref_primary_10_7554_eLife_88289_3 crossref_primary_10_1038_s44172_024_00328_8 crossref_primary_10_3390_s21217189 crossref_primary_10_3390_s18072099 crossref_primary_10_1016_j_jneumeth_2021_109409 crossref_primary_10_1038_s41380_021_01430_5 crossref_primary_10_1039_D3LC00931A crossref_primary_10_1084_jem_20211071 crossref_primary_10_1016_j_neuron_2020_07_014 crossref_primary_10_1002_hipo_23021 crossref_primary_10_1088_1741_2552_ab9986 crossref_primary_10_1021_acs_nanolett_9b02296 crossref_primary_10_1093_cercor_bhz149 crossref_primary_10_3389_fendo_2022_875865 crossref_primary_10_1523_ENEURO_0250_17_2017 crossref_primary_10_1016_j_crneur_2023_100118 crossref_primary_10_1016_j_neuron_2022_09_006 crossref_primary_10_1007_s13311_022_01309_5 crossref_primary_10_7554_eLife_61940 crossref_primary_10_1093_cercor_bhz023 crossref_primary_10_3389_fnsys_2021_787612 crossref_primary_10_1523_ENEURO_0052_21_2021 crossref_primary_10_1186_s10020_022_00524_2 crossref_primary_10_1007_s00359_021_01517_y crossref_primary_10_1016_j_neuron_2022_12_013 crossref_primary_10_1038_s41467_022_31272_w crossref_primary_10_1088_1741_2552_ab2ffa crossref_primary_10_3389_fnins_2021_663174 crossref_primary_10_1016_j_celrep_2022_111028 crossref_primary_10_1016_j_neurobiolaging_2020_08_013 crossref_primary_10_31857_S0044467723060102 crossref_primary_10_3390_s22103676 crossref_primary_10_1073_pnas_2118954119 crossref_primary_10_7554_eLife_82952 crossref_primary_10_1016_j_neures_2024_09_002 crossref_primary_10_1016_j_expneurol_2020_113175 crossref_primary_10_1016_j_neuron_2021_04_017 crossref_primary_10_3389_fpsyg_2018_02117 crossref_primary_10_1016_j_brs_2024_04_007 crossref_primary_10_1002_advs_202308507 crossref_primary_10_1016_j_neures_2019_12_009 crossref_primary_10_1016_j_neuron_2022_05_011 crossref_primary_10_1088_1741_2552_aa7526 crossref_primary_10_1523_ENEURO_0326_23_2023 crossref_primary_10_3389_fnins_2020_00055 crossref_primary_10_1088_1741_2552_abc7f0 crossref_primary_10_1016_j_neuron_2020_12_001 crossref_primary_10_1016_j_celrep_2024_114348 crossref_primary_10_1016_j_neuron_2024_10_014 crossref_primary_10_1038_s42003_023_05042_3 crossref_primary_10_1016_j_biomaterials_2022_121979 crossref_primary_10_7554_eLife_78349 crossref_primary_10_1038_s41592_018_0266_x crossref_primary_10_7554_eLife_85550 crossref_primary_10_1038_s41380_021_01159_1 crossref_primary_10_1523_ENEURO_0212_23_2023 crossref_primary_10_1016_j_neuron_2022_01_027 |
| Cites_doi | 10.3389/fncir.2012.00098 10.1016/0165-0270(95)00085-2 10.1126/science.1217230 10.1162/0899766053723032 10.1146/annurev.neuro.27.070203.144233 10.1038/nn.3269 10.1152/jn.01046.2012 10.1002/hipo.20707 10.7554/eLife.03061 10.1126/science.1223154 10.1016/j.jneumeth.2010.03.024 10.1038/ncomms7339 10.1152/jn.2000.84.1.401 10.1016/j.neuron.2015.10.025 10.1016/j.conb.2007.07.009 10.1109/IEMBS.2010.5627397 10.1038/nn.4268 10.1109/JSSC.2003.811979 10.1109/EMBC.2016.7591730 10.1152/jn.01023.2004 10.1152/jn.00116.2003 10.3389/fncir.2015.00046 10.1146/annurev.neuro.051508.135241 10.1109/CICC.2007.4405694 10.1371/journal.pcbi.1003376 10.3389/neuro.16.012.2009 10.1016/j.neuron.2013.03.006 10.1038/nn.3696 |
| ContentType | Journal Article |
| Copyright | 2017 IOP Publishing Ltd |
| Copyright_xml | – notice: 2017 IOP Publishing Ltd |
| DBID | O3W TSCCA AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 |
| DOI | 10.1088/1741-2552/aa5eea |
| DatabaseName | Institute of Physics Open Access Journal Titles IOPscience (Open Access) CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database – sequence: 3 dbid: O3W name: Institute of Physics Open Access Journal Titles url: http://iopscience.iop.org/ sourceTypes: Enrichment Source Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Anatomy & Physiology |
| DocumentTitleAlternate | Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology |
| EISSN | 1741-2552 |
| ExternalDocumentID | 28169219 10_1088_1741_2552_aa5eea jneaa5eea |
| Genre | Journal Article |
| GroupedDBID | --- 1JI 4.4 53G 5B3 5GY 5VS 5ZH 7.M 7.Q AAGCD AAJIO AAJKP AALHV AATNI ABHWH ABJNI ABQJV ABVAM ACAFW ACGFS ACHIP AEFHF AENEX AFYNE AKPSB ALMA_UNASSIGNED_HOLDINGS AOAED ASPBG ATQHT AVWKF AZFZN CEBXE CJUJL CRLBU CS3 DU5 EBS EDWGO EJD EMSAF EPQRW EQZZN F5P HAK IHE IJHAN IOP IZVLO KOT LAP M45 N5L N9A NT- NT. O3W P2P PJBAE RIN RO9 ROL RPA SY9 TSCCA W28 XPP AAYXX ADEQX CITATION 02O 1WK ACARI AERVB AHSEE ARNYC BBWZM CGR CUY CVF ECM EIF FEDTE HVGLF JCGBZ NPM Q02 RNS S3P 7X8 AEINN |
| ID | FETCH-LOGICAL-c410t-5cdce4b50d87d69275959d09023316539e51d4bd1cc21ed9fd2bc4a5b1e5e3433 |
| IEDL.DBID | O3W |
| ISSN | 1741-2560 1741-2552 |
| IngestDate | Tue Aug 05 10:45:48 EDT 2025 Thu Apr 03 06:57:51 EDT 2025 Thu Apr 24 23:00:02 EDT 2025 Tue Jul 01 01:58:37 EDT 2025 Fri Jan 08 09:41:22 EST 2021 Wed Aug 21 03:33:55 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| License | Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c410t-5cdce4b50d87d69275959d09023316539e51d4bd1cc21ed9fd2bc4a5b1e5e3433 |
| Notes | JNE-101573.R1 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| OpenAccessLink | https://iopscience.iop.org/article/10.1088/1741-2552/aa5eea |
| PMID | 28169219 |
| PQID | 1865819602 |
| PQPubID | 23479 |
| PageCount | 13 |
| ParticipantIDs | pubmed_primary_28169219 crossref_primary_10_1088_1741_2552_aa5eea crossref_citationtrail_10_1088_1741_2552_aa5eea iop_journals_10_1088_1741_2552_aa5eea proquest_miscellaneous_1865819602 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2017-08-01 |
| PublicationDateYYYYMMDD | 2017-08-01 |
| PublicationDate_xml | – month: 08 year: 2017 text: 2017-08-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | England |
| PublicationPlace_xml | – name: England |
| PublicationTitle | Journal of neural engineering |
| PublicationTitleAbbrev | JNE |
| PublicationTitleAlternate | J. Neural Eng |
| PublicationYear | 2017 |
| Publisher | IOP Publishing |
| Publisher_xml | – name: IOP Publishing |
| References | 22 Harris K D (9) 2000; 84 23 24 25 26 27 28 29 Voigts J (31) 2016 30 10 11 Pachitariu M (12) 2016 13 14 15 16 17 18 19 1 2 3 4 DeSantis D (7) 2013 5 6 8 20 21 |
| References_xml | – ident: 28 doi: 10.3389/fncir.2012.00098 – ident: 8 doi: 10.1016/0165-0270(95)00085-2 – ident: 3 doi: 10.1126/science.1217230 – ident: 20 doi: 10.1162/0899766053723032 – year: 2013 ident: 7 – ident: 18 doi: 10.1146/annurev.neuro.27.070203.144233 – ident: 23 doi: 10.1038/nn.3269 – ident: 26 doi: 10.1152/jn.01046.2012 – ident: 2 doi: 10.1002/hipo.20707 – ident: 4 doi: 10.7554/eLife.03061 – year: 2016 ident: 31 publication-title: Neuroscience 2016 – ident: 22 doi: 10.1126/science.1223154 – ident: 25 doi: 10.1016/j.jneumeth.2010.03.024 – ident: 5 doi: 10.1038/ncomms7339 – volume: 84 start-page: 401 year: 2000 ident: 9 publication-title: J. Neurophysiol. doi: 10.1152/jn.2000.84.1.401 – ident: 13 doi: 10.1016/j.neuron.2015.10.025 – ident: 21 doi: 10.1016/j.conb.2007.07.009 – ident: 29 doi: 10.1109/IEMBS.2010.5627397 – ident: 14 doi: 10.1038/nn.4268 – ident: 15 doi: 10.1109/JSSC.2003.811979 – ident: 17 doi: 10.1109/EMBC.2016.7591730 – ident: 11 doi: 10.1152/jn.01023.2004 – ident: 10 doi: 10.1152/jn.00116.2003 – ident: 30 doi: 10.3389/fncir.2015.00046 – ident: 19 doi: 10.1146/annurev.neuro.051508.135241 – year: 2016 ident: 12 – ident: 16 doi: 10.1109/CICC.2007.4405694 – ident: 1 doi: 10.1371/journal.pcbi.1003376 – ident: 27 doi: 10.3389/neuro.16.012.2009 – ident: 6 doi: 10.1016/j.neuron.2013.03.006 – ident: 24 doi: 10.1038/nn.3696 |
| SSID | ssj0031790 |
| Score | 2.6056695 |
| Snippet | Objective. Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly... Closed-loop experiments, in which causal interventions are conditioned on the state of the system under investigation, have become increasingly common in... |
| SourceID | proquest pubmed crossref iop |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 45003 |
| SubjectTerms | Algorithms closed loop Electrophysiological Phenomena - physiology electrophysiology Equipment Design - instrumentation Equipment Design - methods Hippocampus - physiology Humans Neurosciences - instrumentation Neurosciences - methods open source software Software Design User-Computer Interface |
| Title | Open Ephys: an open-source, plugin-based platform for multichannel electrophysiology |
| URI | https://iopscience.iop.org/article/10.1088/1741-2552/aa5eea https://www.ncbi.nlm.nih.gov/pubmed/28169219 https://www.proquest.com/docview/1865819602 |
| Volume | 14 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3daxQxEA9tffFF1FY9P0oKKgjGSzbJblafSmmpgq0PLfYtZJPZ0nLmFr178L93ZnfvoGBLX5ZdmMyGycf8ZjKZYeytbltZxsKKGuogTIBWhBCNIGzirAwIsck18P2kPD433y7sxQb7sr4LM-_Grf8Tvg6JggcRjgFxbooYWglEwsU0BAuA4OiBdqUjy-tU_1xtw5pSTw23IYm6lOMZ5f843NBJm_jf2-Fmr3aOHrNHI17k-0PvnrANyE_Z9n5GW_nXX_6e9xGcvWt8m51RdAg_JGfFZx4yp8pYYvDOf-TdbHl5lQVprYQfYUFoleOD9zGFdAE4w4yPZXG6Ndsddn50eHZwLMaqCSIaJRfCxhTBNFYmV6WyLipb2zpR-KXWihLRglXJNEnFWChIdZuKJppgGwUWtNH6GdvK8wwvGE8It1TpZNVU2EJG5AHaQtVIFUqpqwmbruTm45hSnCpbzHx_tO2cJ0l7krQfJD1hH9YtuiGdxh2073Ao_Lim_txBx2_QXWdAg8Ybj2gV54HvUjthe6vx9Lh86EwkZJgvkalDCIa7kCwm7Pkw0OuOFU6h_FT98p4decUeFqT0-_DA12xr8XsJbxCyLJpdtvn19MduP0H_AVPb5SM |
| linkProvider | IOP Publishing |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3daxQxEB9sBfFF1PpxttUIKgiml2yS_fCtaI_6VX1osW8hm2RFOXOLvXvwv3dmN3dQ0OLLsguT2WEySX6ZTGYAnqmuE6UvDG9i47h2sePOec0Jm9RGOITY5Br4dFIen-n35-Y81zkd7sIs-jz1H-DrmCh4VGEOiKuniKElRyRcTJ0zMbppH7otuG5UWVLths_q63oqVpR-arwRSS1Kkc8p_8bl0rq0hf_-N-Qclp7ZbbiVMSM7HCW8A9diugs7hwn3yz9_sxdsiOIc3OM7cEoRIuyIHBavmUuMqmPx0UP_ivXz1bfvidPKFfDDLQmxMnywIa6QLgGnOGe5NE6_YXsPzmZHp2-Oea6cwL2WYsmNDz7q1ohQV6Fsiso0pgkUgqmUpGS00cig2yC9L2QMTReK1mtnWhlNVFqp-7CdFik-BBYQcsmyFlVbYQvhkUdUJlatkK4UqprAdK0363NacapuMbfD8XZdW9K0JU3bUdMTeLlp0Y8pNa6gfY5dYfO4uriCjl2i-5EibmqstohY0Q4smsgEnq770-IQonMRl-JihUxrhGE4E4liAg_Gjt4IVtQS9SebR_8pyBO48eXtzH58d_JhF24WhAGGaME92F7-WsV9RDDL9vFgpX8AGwfoCQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Open+Ephys%3A+an+open-source%2C+plugin-based+platform+for+multichannel+electrophysiology&rft.jtitle=Journal+of+neural+engineering&rft.au=Siegle%2C+Joshua+H&rft.au=L%C3%B3pez%2C+Aar%C3%B3n+Cuevas&rft.au=Patel%2C+Yogi+A&rft.au=Abramov%2C+Kirill&rft.date=2017-08-01&rft.eissn=1741-2552&rft.volume=14&rft.issue=4&rft.spage=045003&rft_id=info:doi/10.1088%2F1741-2552%2Faa5eea&rft_id=info%3Apmid%2F28169219&rft.externalDocID=28169219 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1741-2560&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1741-2560&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1741-2560&client=summon |