Skip to search formSkip to main contentSkip to account menu

Regulatory feedback network

Known as: Regulatory Feedback Networks, Regulatory feedback 
Regulatory feedback networks are neural networks that perform inference using Negative feedback. The feedback is not used to find optimal learning or… 
Wikipedia (opens in a new tab)

Related topics

Related topics

6 relations
Artificial neural networkFeedforward neural networkK-nearest neighbors algorithmNegative feedback

Broader (2)

Computational neuroscienceControl theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2012
2012
Modified thalamocortical model: A step towards more understanding of the functional contribution of astrocytes to epilepsy
It is evident that the cortex plays a primary role in seizure generation. At the same time, various experimental results clearly… 
2011
2011
Evaluating the Contribution of Top-Down Feedback and Post-Learning Reconstruction
Deep generative models and their associated top-down architecture are gaining popularity in neuroscience and computer vision. In… 
2009
2009
Counting objects with biologically inspired regulatory-feedback networks
Neural networks are relatively successful in recognizing individual patterns. However, when images consist of combination of… 
2008
2008
Hybrid Classification and Symbolic-Like Manipulation Using Self-Regulatory Feedback Networks
We propose a hybrid model based on self-regulatory feedback. It is a connectionist network, which can be composed in a modular… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)