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dblp: Torbjørn V. Ness https://dblp.org/pid/169/9035.html dblp person page RSS feed Mon, 02 Dec 2024 21:25:03 +0100 en-US daily 1 released under the CC0 1.0 license dblp@dagstuhl.de (dblp team) dblp@dagstuhl.de (dblp team) Computers/Computer_Science/Publications/Bibliographies http://www.rssboard.org/rss-specification https://dblp.org/img/logo.144x51.pngdblp: Torbjørn V. Nesshttps://dblp.org/pid/169/9035.html14451 Multitask learning of a biophysically-detailed neuron model.https://doi.org/10.1371/journal.pcbi.1011728, , , , :
Multitask learning of a biophysically-detailed neuron model. PLoS Comput. Biol. 20(7): 1011728 ()]]>https://dblp.org/rec/journals/ploscb/VerhellenBANE24Mon, 01 Jan 2024 00:00:00 +0100 Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets.https://doi.org/10.1007/s10827-023-00849-9, , , , , , :
Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets. J. Comput. Neurosci. 51(2): 283-298 ()]]>https://dblp.org/rec/journals/jcns/HanssenGFHENH23Mon, 01 May 2023 01:00:00 +0200 Brain signal predictions from multi-scale networks using a linearized framework.https://doi.org/10.1371/journal.pcbi.1010353, , , , , , , :
Brain signal predictions from multi-scale networks using a linearized framework. PLoS Comput. Biol. 18(8) ()]]>https://dblp.org/rec/journals/ploscb/HagenMNHBLME22Sat, 01 Jan 2022 00:00:00 +0100 Biophysically detailed forward modeling of the neural origin of EEG and MEG signals.https://doi.org/10.1016/j.neuroimage.2020.117467, , , , , , :
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals. NeuroImage 225: 117467 ()]]>https://dblp.org/rec/journals/neuroimage/NaessHHHDEN21Fri, 01 Jan 2021 00:00:00 +0100 Computation of the electroencephalogram (EEG) from network models of point neurons.https://doi.org/10.1371/journal.pcbi.1008893, , , , :
Computation of the electroencephalogram (EEG) from network models of point neurons. PLoS Comput. Biol. 17(4) ()]]>https://dblp.org/rec/journals/ploscb/Martinez-Canada21Fri, 01 Jan 2021 00:00:00 +0100 Estimation of neural network model parameters from local field potentials (LFPs).https://doi.org/10.1371/journal.pcbi.1007725, , , , :
Estimation of neural network model parameters from local field potentials (LFPs). PLoS Comput. Biol. 16(3) ()]]>https://dblp.org/rec/journals/ploscb/SkaarSHNE20Wed, 01 Jan 2020 00:00:00 +0100 Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0.https://doi.org/10.3389/fninf.2018.00092, , , :
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0. Frontiers Neuroinformatics 12: 92 ()]]>https://dblp.org/rec/journals/fini/HagenNNE18Mon, 01 Jan 2018 00:00:00 +0100 A Deep Learning Approach for the Classification of Neuronal Cell Types.https://doi.org/10.1109/EMBC.2018.8512498, , , , :
A Deep Learning Approach for the Classification of Neuronal Cell Types. EMBC : 999-1002]]>https://dblp.org/rec/conf/embc/BuccinoNECH18Mon, 01 Jan 2018 00:00:00 +0100 Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning.https://doi.org/10.1109/EMBC.2017.8036988, , , , :
Localizing neuronal somata from Multi-Electrode Array in-vivo recordings using deep learning. EMBC : 974-977]]>https://dblp.org/rec/conf/embc/BuccinoNECH17Sun, 01 Jan 2017 00:00:00 +0100 Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs).https://doi.org/10.1007/s12021-015-9265-6, , , , , , :
Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs). Neuroinformatics 13(4): 403-426 ()]]>https://dblp.org/rec/journals/ni/NessCPLGWE15Thu, 01 Jan 2015 00:00:00 +0100