Recurrent Neural Networks in Brains and Machines

Explore the fascinating world of recurrent neural networks in both biological and artificial systems through this 33-minute webinar presented by Dr. Christopher Cueva, a research scientist at MIT. Delve into how neural network models have advanced our understanding of brain activity and circuit mechanisms. Learn about recent efforts to develop neural networks that not only replicate observed neural activity but also provide insights into the evolution of brain-like connectomes through training. Discover the challenges and potential solutions for creating comprehensive models that bridge multiple neural systems, including perception, cognition, action, and memory. Gain insight into ongoing research aimed at systematically building and evaluating recurrent neural network models across multiple datasets to extract general design principles and identify areas for further investigation. This webinar offers a unique opportunity to deepen your understanding of both biological and artificial neural networks, presented by an expert in the field of natural and artificial intelligence.