Difference between revisions of "ICLM Journal Club"

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(This Week - 2 November 2018 (9:30 a.m., Gonda 2nd Floor Conference Room))
(This Week - 9 November 2018 (9:30 a.m., Gonda 2nd Floor Conference Room))
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<u>Title:</u> ''' Simultaneous encoding of head angle, episodic distance, and position by hippocampal activity in a virtual water maze '''
 
<u>Title:</u> ''' Simultaneous encoding of head angle, episodic distance, and position by hippocampal activity in a virtual water maze '''
  
<u>Abstract:</u> The Morris Water Maze tests hippocampus dependent spatial learning, memory and navigation. But the neural basis of this is poorly characterized, owing to the difficulty of electrophysiological recording in this task. To overcome this, we developed a virtual water maze task in which rats run >100 trials per session. Here we focus on three stimuli that modulate neural firing: head angle, episodic distance, and allocentric position. The main findings are summarized below::
+
<u>Abstract:</u> The Morris Water Maze tests hippocampus dependent spatial learning, memory and navigation. But the neural basis of this is poorly characterized, owing to the difficulty of electrophysiological recording in this task. To overcome this, we developed a virtual water maze task in which rats run >100 trials per session. Here we focus on three stimuli that modulate neural firing: head angle, episodic distance, and allocentric position. The main findings are summarized below:
 +
 
 
1. Despite good task performance, we observed very little allocentric spatial selectivity.
 
1. Despite good task performance, we observed very little allocentric spatial selectivity.
 +
 
2. Many cells were modulated by episodic distance, and the distribution of peak locations was biased towards short distances.
 
2. Many cells were modulated by episodic distance, and the distribution of peak locations was biased towards short distances.
 +
 
3. Many cells were modulated by head angle, and the population of these cells was biased towards the hidden reward zone.
 
3. Many cells were modulated by head angle, and the population of these cells was biased towards the hidden reward zone.
 +
 
4. Across sessions, the percentage of neurons that were tuned was positively correlated with behavioral performance.
 
4. Across sessions, the percentage of neurons that were tuned was positively correlated with behavioral performance.
 +
 
5. Both behavioral performance and the activation of neurons increased with experience within a single session.
 
5. Both behavioral performance and the activation of neurons increased with experience within a single session.
 +
  
 
<u>Relevant Background Paper(s):</u> Cushman et al., 2013:  
 
<u>Relevant Background Paper(s):</u> Cushman et al., 2013:  

Revision as of 18:34, 8 November 2018

This Week - 9 November 2018 (9:30 a.m., Gonda 2nd Floor Conference Room)

Speaker: Jason Moore

Title: Simultaneous encoding of head angle, episodic distance, and position by hippocampal activity in a virtual water maze

Abstract: The Morris Water Maze tests hippocampus dependent spatial learning, memory and navigation. But the neural basis of this is poorly characterized, owing to the difficulty of electrophysiological recording in this task. To overcome this, we developed a virtual water maze task in which rats run >100 trials per session. Here we focus on three stimuli that modulate neural firing: head angle, episodic distance, and allocentric position. The main findings are summarized below:

1. Despite good task performance, we observed very little allocentric spatial selectivity.

2. Many cells were modulated by episodic distance, and the distribution of peak locations was biased towards short distances.

3. Many cells were modulated by head angle, and the population of these cells was biased towards the hidden reward zone.

4. Across sessions, the percentage of neurons that were tuned was positively correlated with behavioral performance.

5. Both behavioral performance and the activation of neurons increased with experience within a single session.


Relevant Background Paper(s): Cushman et al., 2013: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0080465

About Us

Introduction

The Integrative Center for Learning and Memory (ICLM) is a multidisciplinary center of UCLA labs devoted to understanding the neural basis of learning and memory and its disorders. This will require a unified approach across different levels of analysis, including;

1. Elucidating the molecular cellular and systems 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 ICLM

The Integrative Center for Learning and Memory formally LMP started in its current form in 1998, and has served as a platform for many interactions and collaborations within UCLA. A key event organized by the group is the weekly ICLM Journal Club. For more than 10 years, graduate students, postdocs, principal investigators, and invited speakers have presented on topics ranging from the molecular mechanisms of synaptic plasticity, through computational models of learning, to behavior and cognition. Dean Buonomano oversees the ICLM journal club with help of student/post doctoral organizers. For other events organized by ICLM go to http://www.iclm.ucla.edu/Events.html.

Current Organizers:

Shonali Dhingra

Current Faculty Advisor:

Dean Buonomano


Past Organizers:

i) Anna Matynia(Aug 2004 - Jun 2008) (Silva Lab)

ii) Robert Brown (Aug 2008 - Jun 2009) (Balleine Lab)

iii) Balaji Jayaprakash (Aug 2008 - Nov 2011) (Silva Lab)

iv) Justin Shobe & Thomas Rogerson (Dec 2011 - June 2013) (Silva Lab)

v) Walt Babiec (O'Dell Lab) (2013-2014)

vi) Walt Babiec (O'Dell Lab) & Helen Motanis (Buonomano Lab) (2014-2017)

vii) Helen Motanis (Buonomano Lab) & Shonali Dhingra (Mehta Lab) (2017-2018)

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