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

. 2014 Jan 2;10(1):e1003408. doi: 10.1371/journal.pcbi.1003408

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

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PMC Copyright notice

Given any configuration of neurons, the K-pairwise model predicts the probability of firing of the N-th neuron by Eqs (25,26); the effective field is fully determined by the parameters of the maximum entropy model and the state of the network. For each activity pattern in recorded data we computed the effective field, and binned these values (shown on x-axis). For every bin we estimated from data the probability that the N-th neuron spiked (black circles; error bars are s.d. across 120 cells). This is compared with a parameter-free prediction (red line) from Eq (26). For comparison, gray squares show the analogous analysis for the pairwise model (error bars omitted for clarity, comparable to K-pairwise models). Inset: same curves shown on the logarithmic plot emphasizing the low range of effective fields. The gray shaded region shows the distribution of the values of over all 120 neurons and all patterns in the data.

Inline graphic — Given any configuration of neurons, the K-pairwise model predicts the probability of firing of the N-th neuron by Eqs (25,26); the effective field is fully determined by the parameters of the maximum entropy model and the state of the network. For each activity pattern in recorded data we computed the effective field, and binned these values (shown on x-axis). For every bin we estimated from data the probability that the N-th neuron spiked (black circles; error bars are s.d. across 120 cells). This is compared with a parameter-free prediction (red line) from Eq (26). For comparison, gray squares show the analogous analysis for the pairwise model (error bars omitted for clarity, comparable to K-pairwise models). Inset: same curves shown on the logarithmic plot emphasizing the low range of effective fields. The gray shaded region shows the distribution of the values of over all 120 neurons and all patterns in the data.