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A spike train is a series of discrete action potentials
from a neuron taken as a time series, sometimes referred to
as temporal coding. This string of neuronal
firing may be generated spontaneously or as a response to some
external stimulus.
Taking a cue from nature, artificial neural networks may be
implemented in computer software that reflect the basic
physiology of an interconnected mesh of neurons. By presenting
a sequence of input stimuli to this network, spike trains can
be produced that reflect particular characteristics of the input.
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We create custom neural network simulations to aid our clients in
recognition, forecasting and understanding.
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Simplified neuron process flow:
- Dendrites feed potentials to the Soma.
- Soma collects potentials and determines whether their sum exceeds a threshold.
- If the threshold is exceeded, an impulse is sent down the Axon.
- The Axon delivers the impulse to Synapses (not shown), where Dendrites from other Neurons detect the impulse.
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