Explainable AI

The informational aspects of neural networks performing associative memory following Hebbian learning are analysed in detail. The recall process is decomposed ... ... information is transformed into valuable information with neural net. The individual element of the neural network, i.e., the living neuronal cell, is ... Sep 4, 2023 ... ... neuronal networks or whether it is related to informational load. ... To explore this topic, we used an in vitro neural network of cortical ... Feb 6, 2025 ... Abstract and Figures. While there is much knowledge about local neuronal circuitry, considerably less is known about how neuronal input is ... Cognitive Neuroscience 2018: On the biological (or social) expedience of the mechanism of information integration in neural networks of the brain through. Sep 10, 2019 ... Using a genetic algorithm approach to find optimal neural network structures for model-free policy learning in reinforcement learning; Using ... performing the functions of associative memory. L. Figure 1. Dependence of the main neural network informational charaaeristi~ on the number of stored templates ... Feb 26, 2024 ... This article introduces a quantitative approach to modeling the cost of control in a neural network architecture when it is required to execute one or more ... Share your videos with friends, family, and the world. Machine Learning, Deep Learning, Naïve Bayes, Feature Engineering, Identifying Informative Tweets. INTRODUCTION. In recent years, micro-blogging services such ...