About this MURI

Howard Poizner, UCSD (PI) - Gary Lynch, UCI (Co-PI) - Terrence J. Sejnowski, Salk Institute/UCSD (Co-PI)

The human cortex creates rich representations of the world. These representations are based on learning, which often proceeds self-supervised.

Unsupervised learning can be characterized as following:

  • It is commonplace in naturalistic settings.

  • It it critical to humans, particularly in complex and novel environments.

  • It is encoded ny LTP-type mechanisms.

  • It is of direct relevance to computational theories of learning.

In other words, unsupervised spatial learning is based on internal representations which allow for a flexible acquisition of knowledge, situational awareness as well as readiness to act appropriately.

Our overall research objectives are to understand the basic brain and behavioral processes underlying this type of learning and training.

MURI From Brain to Behavior