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

Fitness history shows the fitness values rapidly reach good fits (within 1,000 model evaluations/sample points) and reaches an asymptote typically within 2,000 model evaluations/sample points). (A) Fitness vs. model evaluation for GPe neurons of (A1) prototypical type and (A2) arkypallidal type. (B) Fitness vs. model evaluation for SP neurons of (B1) D1 type and (B2) D2 type. Note that GPe neuron fitness values reached considerably lower values than SP neuron fitness values. Right panels show fitness vs. model evaluation for the 1st set of optimizations and left panels show the mean and standard deviation of the fitness values of the last 25 generations of the 2nd set of optimizations (which used a different random seed). The number above the bar gives the number of model evaluations to convergence for the 2nd set of optimizations.