Margot edited untitled.html  over 8 years ago

Commit id: a1a88bd5c9b73a8348d785ea27c01a4ac4544f61

deletions | additions      

       

class="ltx_title_section">

Introduction

Recently, id="auto-label-section-205322" class="ltx_title_section">

Introduction

Recently,  Lynch and Houghton (2015) developed a method to predict in vivo response of auditory neurons using an estimated spectrotemporal   receptive field (STRF) filter combined with an integrate-and-fire neuron  model based on the Izhikevich neuron (Izhikevich, 2003). This model  

for enhanced biophysical realism. Optimization is performed iteratively   on the parameters of the filter and the parameters of the neuron model   using a genetic algorithm in which fitness is evaluated by the van   Rossum distance metric (van Rossum, 2001).

Lynch 2001).

Lynch  and Houghton’s method fills a clear need in the neuroinformatics field and   moves forward the possibilities for neuron modeling in in vivo   electrophysiology research. There exist many avenues for further