• Publications
  • Influence
LFPy: a tool for biophysical simulation of extracellular potentials generated by detailed model neurons
TLDR
LFPy, an open source Python package for numerical simulations of extracellular potentials, consists of a set of easy-to-use classes for defining cells, synapses and recording electrodes as Python objects, implementing a precise biophysical modeling scheme linking activity at the cellular level and the recorded signal. Expand
Frequency Dependence of Signal Power and Spatial Reach of the Local Field Potential
TLDR
A modeling approach based on a well-established biophysical forward-modeling scheme incorporating detailed reconstructed neuronal morphologies in precise calculations of population LFPs including thousands of neurons is pursued. Expand
Kernel current source density method.
TLDR
This work proposes a new framework, the kernel current source density method (kCSD), for nonparametric estimation of CSD from LFP recorded from arbitrarily distributed electrodes using kernel methods and shows that iCSD is a special case of kCSD. Expand
The Trautman-Bondi mass of hyperboloidal initial data sets
We give a definition of mass for conformally compactifiable initial data sets. The asymptotic conditions are compatible with existence of gravitational radiation, and the compactifications areExpand
Matrix Metalloproteinase-9 and Synaptic Plasticity in the Central Amygdala in Control of Alcohol-Seeking Behavior
TLDR
Results indicate a novel mechanism of alcohol craving that involves MMP-9-dependent synaptic plasticity in CeA and whole-cell patch clamp analysis of the basal amygdala to CeA projections showed that alcohol consumption and withdrawal were associated with generation of silent synapses. Expand
Modelling and Analysis of Electrical Potentials Recorded in Microelectrode Arrays (MEAs)
TLDR
A biophysical forward-modelling formalism based on the finite element method (FEM) is used to establish quantitatively accurate links between neural activity in the slice and potentials recorded in the MEA set-up, and methods for estimation of current-source density (CSD) from MEA potentials are explored. Expand
Inverse Current Source Density Method in Two Dimensions: Inferring Neural Activation from Multielectrode Recordings
TLDR
A method based on forward modeling for estimating current source density from electrophysiological signals recorded on a two-dimensional grid using multi-electrode rectangular arrays, called iCSD 2D, which is based upon and extends the previous one- and three-dimensional techniques. Expand
Inverse Current-Source Density Method in 3D: Reconstruction Fidelity, Boundary Effects, and Influence of Distant Sources
TLDR
A methodology which allows such a reconstruction of CSD from potentials evoked by stimulation of a bunch of whiskers recorded in a slab of the rat forebrain by generalizing the one-dimensional inverse CSD method is presented. Expand
Kernel current source density method
TLDR
This work proposes a new framework, the kernel current source density method (kCSD), for nonparametric estimation of CSD from LFP recorded from arbitrarily distributed electrodes using kernel methods and shows that iCSD is a special case of kCSD. Expand
Reciprocal inhibition and slow calcium decay in perigeniculate interneurons explain changes of spontaneous firing of thalamic cells caused by cortical inactivation
TLDR
A modeling study in NEURON on several networks of point neurons with varied model parameters indicates that the thalamic reticular nucleus plays an essential role in the cortical influence over thalamo-cortical relay cells while theThalamic feed-forward interneurons are not essential in this process. Expand
...
1
2
3
4
...