Low firing-rates in a compartmental model neuron
- 21 February 1993
- journal article
- Published by IOP Publishing in Journal of Physics A: General Physics
- Vol. 26 (4) , L165-L170
- https://doi.org/10.1088/0305-4470/26/4/007
Abstract
A nonlinear relationship is obtained between the membrane potential of a compartmental model neuron as a function of input stimulation. This is used to show how shunting effects can lead to low output firing-rates in associative memory networks.Keywords
This publication has 10 references indexed in Scilit:
- Realistic synaptic inputs for model neural networksNetwork: Computation in Neural Systems, 1991
- Discrete time leaky integrator network with synaptic noiseNeural Networks, 1991
- Willshaw model: Associative memory with sparse coding and low firing ratesPhysical Review A, 1990
- Neural Networks with Low Local Firing RatesEurophysics Letters, 1989
- Oscillations and low firing rates in associative memory neural networksPhysical Review A, 1989
- Low firing rates: an effective Hamiltonian for excitatory neuronsJournal of Physics A: General Physics, 1989
- Quantitative methods for predicting neuronal behaviorNeuroscience, 1981
- Distributions of Potential in Cylindrical Coordinates and Time Constants for a Membrane CylinderBiophysical Journal, 1969
- Time Constants and Electrotonic Length of Membrane Cylinders and NeuronsBiophysical Journal, 1969
- Membrane potential transients and membrane time constant of motoneuronsExperimental Neurology, 1960