Finding Tuning Curves for Point Neurons with Conductance-Based Synapses

Tech Report, 2017

Andreas Stöckel

Abstract

In the Neural Engineering Framework (NEF), individual neuron tuning curves are often characterized in terms of a maximum firing rate and an $x$-intercept. However, for LIF neurons with conductance-based synapses it is not immediately clear how maximum rate and $x$-intercept should be mapped to excitatory and inhibitory conductance input functions $g_\mathrm {E}(x)$, $g_\mathrm {I}(x)$. In this technical report we describe a method for deriving such functions and compare the resulting conductance-based tuning curves to current-based tuning curves with equivalent parameters. For large maximum rates and $x$-intercepts the conductance-based tuning curves possess a significantly steeper spike-rate onset compared to their current-based counterparts.

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CTN Tech Report

Issn
CTN-TR-20171019-014
Address
Waterloo, ON
Month
10
Doi
10.13140/RG.2.2.30152.83202
Institution
Centre for Theoretical Neuroscience

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