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Figure 1 | BMC Neuroscience

Figure 1

From: Temporal coding of continuously-varying inputs

Figure 1

Temporal coding and decoding with LIF neurons. A, Net synaptic current (arbitrary units) experienced by an example LIF neuron, as a function of two inputs (X and Y). B, Irregular firing in 50 different neurons (each with different current functions) as inputs X and Y vary at low frequency. C, Estimate of X decoded from activity of an ensemble of 1000 LIF neurons firing as in B. Black line indicates ideal decoding (post-synaptic current dynamics applied to input X). Gray line indicates the estimate of X by a neuron post-synaptic to the ensemble. This estimate is a weighted sum of post-synaptic currents generated by the firing of the ensemble. D, Firing rate histogram showing a lack of mean firing rate dependence of an example neuron on input X, over 30 trials. In each trial the input X is identical, but Y varies randomly.

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