Estimation of population firing rates and current source densities from laminar electrode recordings. - Klas H. Pettersen; Espen Hagen; Gaute T. Einevoll (J. Comput. Neurosci., 2008)

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

Inverse Current Source Density Method in Two Dimensions: Inferring Neural Activation from Multielectrode Recordings. - Szymon Leski; Klas H. Pettersen; Beth Tunstall; Gaute T. Einevoll; John Gigg; Daniel K. Wójcik (Neuroinformatics, 2011)

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)

Electrodiffusive Model for Astrocytic and Neuronal Ion Concentration Dynamics. - Geir Halnes; Ivar Østby; Klas H. Pettersen; Stig W. Omholt; Gaute T. Einevoll (PLoS Comput. Biol., 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)

Arterial Stiffening Provides Sufficient Explanation for Primary Hypertension. - Klas H. Pettersen; Scott M. Bugenhagen; Javaid Nauman; Daniel A. Beard; Stig W. Omholt (PLoS Comput. Biol., 2014)

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)

Effect of Ionic Diffusion on Extracellular Potentials in Neural Tissue. - Geir Halnes; Tuomo Mäki-Marttunen; Daniel X. Keller; Klas H. Pettersen; Ole A. Andreassen; Gaute T. Einevoll (PLoS Comput. Biol., 2016)

RippleNet: a Recurrent Neural Network for Sharp Wave Ripple (SPW-R) Detection. - Espen Hagen; Anna R. Chambers; Gaute T. Einevoll; Klas H. Pettersen; Rune Enger; Alexander J. Stasik (Neuroinformatics, 2021)