Intrinsic dendritic filtering gives low-pass power spectra of local field potentials. - Henrik Lindén; Klas H. Pettersen; Gaute T. Einevoll (J. Comput. Neurosci., 2010)

LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons. - Henrik Lindén; Espen Hagen; Szymon Leski; Eivind S. Norheim; Klas H. Pettersen; Gaute T. Einevoll (Frontiers Neuroinformatics, 2013)

Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential. - Szymon Leski; Henrik Lindén; Tom Tetzlaff; Klas H. Pettersen; Gaute T. Einevoll (PLoS Comput. Biol., 2013)

Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG. - Klas H. Pettersen; Henrik Lindén; Tom Tetzlaff; Gaute T. Einevoll (PLoS Comput. Biol., 2014)

Fall detection in RGB-D videos for elderly care. - Yixiao Yun; Christopher Innocenti; Gustav Nero; Henrik Lindén; Irene Yu-Hua Gu (HealthCom, 2015)

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. - Alberto Mazzoni; Henrik Lindén; Hermann Cuntz; Anders Lansner; Stefano Panzeri; Gaute T. Einevoll (PLoS Comput. Biol., 2015)

Spike-Based Bayesian-Hebbian Learning of Temporal Sequences. - Philip J. Tully; Henrik Lindén; Matthias H. Hennig; Anders Lansner (PLoS Comput. Biol., 2016)

Imitation learning for vision-based lane keeping assistance. - Christopher Innocenti; Henrik Lindén; Ghazaleh Panahandeh; Lennart Svensson; Nasser Mohammadiha (ITSC, 2017)