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Reinforcement learning objectives constrain the cognitive map
Published on Jul 28, 20152891 Views
In this work, we detail a model of the cognitive map predicated on the assumption that spatial representations are optimized for maximizing reward in spatial tasks. We describe how this model gives r
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Chapter list
Reinforcement learning objectives constrain the cognitive map00:00
Place cells00:33
Grid cells01:12
Animals want to maximize value01:28
Successor Representations02:06
Representing the environment?03:17
Indicator representation - 103:44
Indicator representation - 303:56
Indicator bump04:04
Successor Representation04:19
Computing reward - 104:55
Computing reward - 205:12
Computing reward - 305:50
Computing reward - 406:02
Data Blitz06:49
Place Fields in 2D06:59
Constraint by barriers08:12
Asymmetric Direction Selectivity08:54
Reward Clustering09:29
Context Preexposure Facilitation10:25
Conclusion: what did we do?12:02
Other stuff I didn’t cover…12:29
Acknowledgments13:05
Thank You13:26