• Publications
  • Influence
ViSAPy: A Python tool for biophysics-based generation of virtual spiking activity for evaluation of spike-sorting algorithms
TLDR
We here present a general simulation tool for computing benchmarking data for evaluation of spike-sorting algorithms entitled ViSAPy (Virtual Spiking Activity in Python). Expand
  • 41
  • 6
  • PDF
Active subthreshold dendritic conductances shape the local field potential
The local field potential (LFP), the low‐frequency part of extracellular potentials recorded in neural tissue, is often used for probing neural circuit activity. Interpreting the LFP signal isExpand
  • 53
  • 4
  • PDF
Impedance Spectrum in Cortical Tissue: Implications for Propagation of LFP Signals on the Microscopic Level
Visual Abstract Brain research investigating electrical activity within neural tissue is producing an increasing amount of physiological data including local field potentials (LFPs) obtained viaExpand
  • 34
  • 2
Multimodal modeling of neural network activity: computing LFP, ECoG, EEG and MEG signals with LFPy2.0
Recordings of extracellular electrical, and later also magnetic, brain signals have been the dominant technique for measuring brain activity for decades. The interpretation of such signals is howeverExpand
  • 8
  • 2
Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs)
TLDR
We use a biophysical forward-modelling formalism based on the finite element method (FEM) to establish quantitatively accurate links between neural activity in the slice and potentials recorded in the MEA set-up. Expand
  • 59
  • 1
  • PDF
Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0
TLDR
LFPy is an open-source software for modeling networks of networks of multicompartment neurons with concurrent calculations of extracellular potentials and current dipole moments. Expand
  • 37
  • 1
  • PDF
Can the presence of neural probes be neglected in computational modeling of extracellular potentials?
Objective. Mechanistic modeling of neurons is an essential component of computational neuroscience that enables scientists to simulate, explain, and explore neural activity and neural recordings. TheExpand
  • 3
  • 1
Biophysically detailed forward modeling of the neural origin of EEG and MEG signals
TLDR
We present a method for reducing arbitrary simulated neural activity to single current dipoles. Expand
  • 1
  • 1
Neural timing of stimulus events with microsecond precision
Temporal analysis of sound is fundamental to auditory processing throughout the animal kingdom. Echolocating bats are powerful models for investigating the underlying mechanisms of auditory temporalExpand
  • 13
  • PDF
Biophysical Psychiatry—How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders
The brain is the most complex of human organs, and the pathophysiology underlying abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid development of diagnosticExpand
  • 12
  • PDF