Difference between revisions of "ICLM Journal Club"

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(This Week - 04 February 2022 (9:30 a.m., via Zoom))
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=<font color="blue">'''This Week - 04 February 2022 (9:30 a.m., via Zoom)'''</font>=
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=<font color="blue">'''This Week - 11 February 2022 (9:30 a.m., via Zoom)'''</font>=
  
<u>Speaker:</u> '''Emily Wu '''
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<u>Speaker:</u> '''Lukas Oesch '''
  
<u>Title: </u> ''' “ Neural control of affiliative touch in prosocial interaction ” '''
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<u>Title: </u> ''' “ Mouse prefrontal cortex represents learned rules for categorization ” '''
  
<u>Abstract:</u>   The ability to help and care for others fosters social cohesiveness and is vital to the physical and emotional well-being of social species, including humans. Affiliative social touch, such as allogrooming (grooming behaviour directed towards another individual), is a major type of prosocial behaviour that provides comfort to others. Affiliative touch serves to establish and strengthen social bonds between animals and can help to console distressed conspecifics. However, the neural circuits that promote prosocial affiliative touch have remained unclear. Here we show that mice exhibit affiliative allogrooming behaviour towards distressed partners, providing a consoling effect. The increase in allogrooming occurs in response to different types of stressors and can be elicited by olfactory cues from distressed individuals. Using microendoscopic calcium imaging, we find that neural activity in the medial amygdala (MeA) responds differentially to naive and distressed conspecifics and encodes allogrooming behaviour. Through intersectional functional manipulations, we establish a direct causal role of the MeA in controlling affiliative allogrooming and identify a select, tachykinin-expressing subpopulation of MeA GABAergic (γ-aminobutyric-acid-expressing) neurons that promote this behaviour through their projections to the medial preoptic area. Together, our study demonstrates that mice display prosocial comforting behaviour and reveals a neural circuit mechanism that underlies the encoding and control of affiliative touch during prosocial interactions.  
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<u>Summary:</u>How animals learn to classify a set of stimuli into discrete categories that can guide the selection of adequate behavioral responses remains poorly understood. One of the major challenges in identifying the neural representation of such categories is that they might partially overlap with other representations, such as stimulus identity or chosen actions. In their study Reinert and colleagues recorded neural activity in the mouse prefrontal cortex while animals were learning a visual Go/NoGo task. They demonstrate the presence of category selective neurons by changing either the categorization rule on a constant set of stimuli or the way animals reported their choice. They further show that category selectivity for Go-associated stimuli arises earlier in learning than NoGo-category selectivity.  
  
<u>Relevant papers:</u>  https://www.nature.com/articles/s41586-021-03962-w
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<u>Relevant papers:</u>  https://www.nature.com/articles/s41586-021-03452-z
  
 
='''About Us'''=
 
='''About Us'''=

Revision as of 18:51, 11 February 2022

This Week - 11 February 2022 (9:30 a.m., via Zoom)

Speaker: Lukas Oesch

Title: “ Mouse prefrontal cortex represents learned rules for categorization ”

Summary:How animals learn to classify a set of stimuli into discrete categories that can guide the selection of adequate behavioral responses remains poorly understood. One of the major challenges in identifying the neural representation of such categories is that they might partially overlap with other representations, such as stimulus identity or chosen actions. In their study Reinert and colleagues recorded neural activity in the mouse prefrontal cortex while animals were learning a visual Go/NoGo task. They demonstrate the presence of category selective neurons by changing either the categorization rule on a constant set of stimuli or the way animals reported their choice. They further show that category selectivity for Go-associated stimuli arises earlier in learning than NoGo-category selectivity.

Relevant papers: https://www.nature.com/articles/s41586-021-03452-z

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:

Megha Sehgal (Silva Lab) & Giselle Fernandes (Silva Lab). Please email us at iclm.journalclub@gmail.com if you would like to get regular updates regarding our journal club and weekly reminders.

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)

viii) Shonali Dhingra (Mehta Lab) (2018-2020)

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