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

. 2015 Oct 8;9:54. doi: 10.3389/fncir.2015.00054

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

Copyright © 2015 Jiang, Purushothaman and Casagrande.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor 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

Further analysis of the d-prime weighted pooling scheme: P and M neurons weighted together in reference to one maximal d-prime. (A) Cumulative d-prime distributions for P (magenta) and M (green) neurons in a 0–150 ms window (n = 512 neurons, 200 simulations). (B) D-prime distributions for P (magenta) and M (green) neurons in a 0–150 ms window (n = 512 neurons, 200 simulations). Arrow: median d-prime; solid line: d-prime = 0. (C) Cumulative weight distributions for P (magenta) and M (green) neurons in the same 0–150 ms window (n = 512 neurons, 200 simulations). (D) Weight distributions for P (magenta) and M (green) neurons in the same 0–150 ms window (n = 512 neurons, 200 simulations). Arrow: median weight; solid line: weight = 0. (E) Cumulative choice probability distributions for P (magenta) and M (green) neurons in the same 0–150 ms window (n = 512 neurons, 200 simulations). (F) Cumulative choice probability distributions for P (magenta) and M (green) neurons in different integration time windows (n = 512 neurons).