Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets

no code implementations • 17 Nov 2023 • Kevin Li, Danko Nikolić, Vjekoslav Nikolić, Davor Andrić, Lauren M. Sanders, Sylvain V. Costes

In this work we look at how transfer learning can be improved to learn from small RNA-seq sample sizes without significant human interference.

Few-Shot Learning Transfer Learning

Guided Transfer Learning

1 code implementation • 26 Mar 2023 • Danko Nikolić, Davor Andrić, Vjekoslav Nikolić

In some applications, guided transfer learning enables the network to learn from a small amount of data.

Transfer Learning

Where is the mind within the brain? Transient selection of subnetworks by metabotropic receptors and G protein-gated ion channels

1 code implementation • 11 Jul 2022 • Danko Nikolić

To answer this question, we have primarily relied on the connectionist paradigm: The brain's entire knowledge and thinking skills are thought to be stored in the connections; and the mental operations are executed by network computations.