Power Laws from Linear Neuronal Cable Theory: Power Spectral Densities of the Soma Potential, Soma Membrane Current and Single-Neuron Contribution to the EEG

PLoS Computational Biology

Volumn 10, Issue 11, 2014, Pages

  Pettersen, Klas H ^a,b   Lindén, Henrik ^a,c,d   Tetzlaff, Tom ^a,e   Einevoll, Gaute T ^a,b  

^a NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^b UNIVERSITY OF OSLO   (Norway)

^c UNIVERSITY OF COPENHAGEN   (Denmark)

^d ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

^e JÜLICH RESEARCH CENTRE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CABLES; COMPLEX NETWORKS; DIPOLE MOMENT; ELECTROPHYSIOLOGY; MEMBRANES; POWER SPECTRAL DENSITY; TRANSFER FUNCTIONS;

'CURRENT; CABLE THEORY; CURRENT DIPOLES; HIGH FREQUENCY HF; INPUT CURRENT; MEMBRANE POTENTIALS; NEURAL MEMBRANES; POWER-LAW; POWER-LAW EXPONENTS; SINGLE NEURON;

NEURONS;

ARTICLE; BIOPHYSICS; DENDRITIC CELL; DIPOLE; ELECTROENCEPHALOGRAM; IN VITRO STUDY; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; MOLECULAR MODEL; NERVE CELL MEMBRANE; NERVE CELL NETWORK; NERVE FIBER MEMBRANE POTENTIAL; POWER SPECTRAL DENSITY; POWER SPECTRUM; PREDICTION; SIGNAL TRANSDUCTION; SINGLE CELL ANALYSIS; VALIDATION PROCESS; WHITE NOISE; BIOLOGICAL MODEL; BIOLOGY; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; MEMBRANE POTENTIAL; NERVE CELL; PHYSIOLOGY;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; ELECTROENCEPHALOGRAPHY; MEMBRANE POTENTIALS; MODELS, NEUROLOGICAL; NEURONS;

EID: 84912058829     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1003928     Document Type: Article

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