Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2018 Jul 31;12:47. doi: 10.3389/fninf.2018.00047

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

At least a portion of this work is authored by David M. Lovinger on behalf of the U.S. Government and, as regards Dr. Lovinger and the US government, is not subject to copyright protection in the United States. Foreign and other copyrights may apply.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Comparison of feature fitnesses for 50 best models for SP neuron optimizations. The positive correlations for (A) spike width vs. charging curve fitness and (C) voltage response vs. spike height show that two features can improve simultaneously. With some features, such as (B) AHP curve vs. charging curve fitness, there is a trade-off between these two features.(D) AHP curve is not correlated with 1st spike latency (P = 0.052). (E) Spike height vs. spike width does not appear to be correlated in the SP neurons, though reaching statistical significance (P < 0.0001). (F–H) Contribution of spike width (F), charging curve (G), and AHP curve (H) to the total fitness. Improvement in spike width is negatively correlated with total fitness. The strong correlation of AHP curve to total fitness is likely caused by strong weight on AHP curve in the fitness function. R is the Pearson's R correlation; Correlations above 0.7 are significant at P < 0.0001. Symbols corresponding to different neurons are the same in all panels and indicated in H.