Recovering quasi-active properties of dendritic neurons from dual potential recordings

Journal of Computational Neuroscience

Volumn 11, Issue 2, 2001, Pages 95-110

  Cox, S J ^a   Griffith, B E ^a  

^a Rice University   (United States)

Author keywords

Identification; Laplace transform; Moment methods; Parameter estimation; Symbolic solution

Indexed keywords

LAPLACE TRANSFORMS; METHOD OF MOMENTS;

CHANNEL CONDUCTANCE; DENDRITICS; IDENTIFICATION; LEAKAGE CONDUCTANCE; MEMBRANE CAPACITANCES; MOMENTS METHOD; PARAMETERS ESTIMATION; POTENTIAL RECORDING; PROPERTY; SYMBOLIC SOLUTION;

NEURONS;

ION CHANNEL;

ALGORITHM; ARTICLE; CELL KINETICS; CYTOPLASM; DENDRITE; INTRACELLULAR RECORDING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL; NERVE CELL MEMBRANE CONDUCTANCE; NERVE CELL MEMBRANE POTENTIAL; PRIORITY JOURNAL; STIMULUS; THEORY;

EID: 0035687005     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1012858230117     Document Type: Article

References (13)

1. A novel theoretical approach to the analysis of dendritic transients
2. A new method for extracting cable parameters from input impedance data
3. Identification of the cable parameters in the somatic shunt model
4. Discerning ionic currents and their kinetics from input impedance data
5. Cable properties of a straight neurite of a leech probed by a voltage-sensitive dye
6. Active properties of neuronal dendrites
7. Modeling active dendritic processes in pyramidal neurons
8. Matching dendritic neuron models to experimental data
9. Computational analysis of action potential initiation in mitral cell soma and dendrites based on dual patch recordings
10. Recovery of cable properties through active and passive modeling of subthreshold membrane responses from laterodorsal tegmental neurons
11. A comparative survey of automated parameter search methods for compartmental neural models