Influence of Brain State and Learning on the Efficacy of Cortical Connections

Abstract

Our research is focused on interactions between dynamic representations, activity-dependent plasticity and associative learning. We combine a range of different techniques (in vivo electrophysiology, viral targeting, optogenetic manipulation and two-photon imaging, computational modeling and behavioral analysis) to address questions related to sensory representations: how they are transformed across synaptic layers, how they are influenced by internal states, and how they contribute to the formation and recall of associative memories. For this project, we will focus on the influence of brain state and learning on the strength of synaptic connections between neurons in primary sensory cortex.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 26, 2018
Source ID
N000141812449

Entities

People

  • S. Cassenaer

Organizations

  • California Institute of Technology
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Neural Network Machine Learning.
  • Neuroscience