Difference between revisions of "ICLM Journal Club"

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Welcome to Learning and Memory Journal Club of [http://www.neurobio.ucla.edu Department of Neurobiology], at [http://www.ucla.edu UCLA].  
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'''Welcome to Learning and Memory Journal Club of [http://www.neurobio.ucla.edu Department of Neurobiology], at [http://www.ucla.edu UCLA].  
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== Introduction ==
== '''Introduction''' ==
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3. Describing the neural systems in which different forms of learning and memory take place, and how these systems interact to ultimately generate behavior and cognition.
 
3. Describing the neural systems in which different forms of learning and memory take place, and how these systems interact to ultimately generate behavior and cognition.
  
== '''History of  LMP ''' ==
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== History of  LMP ==
 
   
 
   
 
   
 
   

Revision as of 22:08, 5 January 2010

Welcome to Learning and Memory Journal Club of Department of Neurobiology, at UCLA.

Introduction

The Learning and Memory Project (LMP) is a multidisciplinary center of UCLA labs devoted to understanding the neural basis of learning and memory. The philosophy of LMP is that understanding the neural basis of learning and memory will require a unified approach across different levels of analysis. Including:

1. Elucidating the molecular mechanisms that allow neurons and synapses to undergo the long-term changes that ultimately correspond to 'neural memories'.

2. Understanding how functional dynamics and computations emerge from complex circuits of neurons, and how plasticity governs these processes. 3. Describing the neural systems in which different forms of learning and memory take place, and how these systems interact to ultimately generate behavior and cognition.

History of LMP

The LMP started in its current form in 1998, and has served as a platform for many interactions and collaborations within UCLA. The cornerstone of the group is the weekly LMP Journal Club. For more than 10 years, graduate students, postdocs, principal investigators, and invited speakers have presented on topic ranging from the molecular mechanisms of synaptic plasticity, through computational models of learning, to behavior and cognition.



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