Jacobi Angles for Simultaneous Diagonalization
SIAM Journal on Matrix Analysis and Applications
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
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We consider the problem of separating and determining the time courses of various synaptic input currents from simultaneous recordings of the time courses of membrane potentials, including spikes, of several neurons. Employing a suitable mathematical model, the method involves the differentiation of potentials and the use of ICA to determine the relative strengths of various synaptic inputs. At the same time, the waveforms of these input currents are recovered. We illustrate the application to nonlinear point models with deterministic and stochastic input currents, using a single-component Fitzhugh-Nagumo approximation.