A biologically plausible way to control chaos in artificial neural networks could provide insights into how the brain works Figure 1: The Lorenz attractor is an example of complex dynamical systems.

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been developed by a RIKEN neuroscientist and his collaborator. In addition to shedding ...

Most languages use word position and sentence structure to extract meaning. For example, "The cat sat on the box," is not the ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.