Next-Generation Recurrent Network Models for Cognitive Neuroscience

Next-Generation Recurrent Network Models for Cognitive Neuroscience

MITCBMM via YouTube Direct link

Opinion The bottleneck for multi-area models is not engineering

11 of 12

11 of 12

Opinion The bottleneck for multi-area models is not engineering

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

Next-Generation Recurrent Network Models for Cognitive Neuroscience

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Next Generation Recurrent Neural Network Models for Cognitive Neuroscience
  2. 2 How can artificial neural networks help us understand brains and minds?
  3. 3 Recurrent Neural Networks for cognitive neuroscience
  4. 4 How does the same circuit perform many tasks?
  5. 5 A single network is trained to perform many cognitive tasks
  6. 6 Clusters are causal to good performance
  7. 7 Continual learning of many cognitive tasks
  8. 8 Short-term memory Persistent activity, synaptic plasticity, or both?
  9. 9 Neural networks with short-term plasticity for short-term memory tasks
  10. 10 More persistent activity in lasks that require more manipulation
  11. 11 Opinion The bottleneck for multi-area models is not engineering
  12. 12 Discussion How do we build next-gen ANN models with style?

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.