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7min chapter
BI 196 Cristina Savin and Tim Vogels with Gaute Einevoll and Mikkel Lepperød
Brain Inspired
Neuroscience Meets AI: Understanding Learning Processes
This chapter delves into the application of recurrent neural networks in studying learning processes through a neuroscience lens, highlighting research in synaptic plasticity. Reflecting on a recent workshop, the speakers discuss effective communication among diverse participants and the evolution of neuro AI in relation to machine learning. Emphasizing the interplay between computational principles and cognitive processes, the chapter explores how advanced machine learning tools enhance our understanding of brain functions.
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