TCN Paper Ideas: Difference between revisions

From RedwoodCenter
Jump to navigationJump to search
Line 16: Line 16:
* Hippocampal place cells construct reward related sequences through unexplored space
* Hippocampal place cells construct reward related sequences through unexplored space
* Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images, http://arxiv.org/abs/1506.07365[11]
* Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images, http://arxiv.org/abs/1506.07365[11]
Vijay Mohan a post-doc from UNC generously put together this reading list for me on computational models of neuromodulators. Haven't read them all yet, but looks like some good stuff and might be a good way to add some neuroscience to the mix to counterbalance all the deep learning.
* Learning reward timing in cortex through reward dependent expression of synaptic plasticity

Revision as of 20:49, 8 January 2016

Post ideas about interesting papers to read below. I

Spring 2016

Ideas from the Nando Fretas AMA:

Vijay Mohan a post-doc from UNC generously put together this reading list for me on computational models of neuromodulators. Haven't read them all yet, but looks like some good stuff and might be a good way to add some neuroscience to the mix to counterbalance all the deep learning.

  • Learning reward timing in cortex through reward dependent expression of synaptic plasticity