scholarly journals Reward learning over weeks versus minutes increases the neural representation of value in the human brain

2017 ◽  
Author(s):  
G. Elliott Wimmer ◽  
Jamie K. Li ◽  
Krzysztof J. Gorgolewski ◽  
Russell A. Poldrack

AbstractOver the past few decades, neuroscience research has illuminated the neural mechanisms supporting learning from reward feedback. Learning paradigms are increasingly being extended to study mood and psychiatric disorders as well as addiction. However, one potentially critical characteristic that this research ignores is the effect of time on learning: human feedback learning paradigms are usually conducted in a single rapidly paced session, while learning experiences in ecologically relevant circumstances and in animal research are almost always separated by longer periods of time. In our experiments, we examined reward learning in short condensed sessions distributed across weeks vs. learning completed in a single “massed” session in male and female participants. As expected, we found that after equal amounts of training, accuracy was matched between the spaced and massed conditions. However, in a 3-week follow-up, we found that participants exhibited significantly greater memory for the value of spaced-trained stimuli. Supporting a role for short-term memory in massed learning, we found a significant positive correlation between initial learning and working memory capacity. Neurally, we found that patterns of activity in the medial temporal lobe and prefrontal cortex showed stronger discrimination of spaced-vs. massed-trained reward values. Further, patterns in the striatum discriminated between spaced-and massed-trained stimuli overall. Our results indicate that single-session learning tasks engage partially distinct learning mechanisms from spaced sessions of training. Our studies begin to address a large gap in our knowledge of human learning from reinforcement, with potential implications for our understanding of mood disorders and addiction.Significance statementHumans and animals learn to associate predictive value with stimuli and actions, and these values then guide future behavior. Such reinforcement-based learning often happens over long time periods, in contrast to most studies of reward-based learning in humans. In experiments that tested the effect of spacing on learning, we found that associations learned in a single massed session were correlated with short-term memory and significantly decayed over time, while associations learned in short massed sessions over weeks were well-maintained. Additionally, patterns of activity in the medial temporal lobe and prefrontal cortex discriminated the values of stimuli learned over weeks but not minutes. These results highlight the importance of studying learning over time, with potential applications to drug addiction and psychiatry.

Hippocampus ◽  
2016 ◽  
Vol 27 (2) ◽  
pp. 184-193 ◽  
Author(s):  
Joshua D. Koen ◽  
Alyssa A. Borders ◽  
Michael T. Petzold ◽  
Andrew P. Yonelinas

2010 ◽  
Vol 16 (3) ◽  
pp. 574-578 ◽  
Author(s):  
KIRSTEN HÖTTING ◽  
TALL KATZ-BILETZKY ◽  
THOMAS MALINA ◽  
MATTHIAS LINDENAU ◽  
THOMAS BENGNER

AbstractIt is still an open question whether short-term and long-term memory are two anatomically dissociable memory systems working in parallel or whether they are represented by neural circuits within similar cortical areas. Epilepsy may be used as a model to study these memory processes. We hypothesized that a double dissociation of short-term and long-term memory exists in temporal lobe epilepsy (TLE) and idiopathic generalized epilepsy (IGE). Immediate and 24-hour face recognition was tested in 10 TLE patients, 9 IGE patients, and 10 healthy controls. TLE patients’ immediate recognition was unimpaired, but their memory scores were reduced as compared to healthy controls after 24 hours. In IGE patients, memory was already reduced during immediate recognition. These results are in line with the idea that short-term memory is a transient trace that requires consolidation supported by the medial temporal lobe to change into a more stable status of long-term memory. (JINS, 2010, 16, 574–578.)


2005 ◽  
Vol 5 (8) ◽  
pp. 913-913
Author(s):  
I. R. Olson ◽  
A. Chatterjee ◽  
K. Page ◽  
M. Verfaellie

2021 ◽  
Author(s):  
B. W. Corrigan ◽  
R. A. Gulli ◽  
G. Doucet ◽  
M. Roussy ◽  
R. Luna ◽  
...  

AbstractThe primate hippocampus (HPC) and lateral prefrontal cortex (LPFC) are two brain structures deemed essential to long- and short-term memory functions respectively. Here we hypothesize that although both structures may encode similar information about the environment, the neural codes mediating neuronal communication in HPC and LPFC have differentially evolved to serve their corresponding memory functions. We used a virtual reality task in which animals navigated through a maze using a joystick and selected one of two targets in the arms of the maze according to a learned context-color rule. We found that neurons and neuronal populations in both regions encode similar information about the different task periods. Moreover, using statistical analyses and linear classifiers, we demonstrated that many HPC neurons concentrate spikes temporally into bursts, whereas most LPFC neurons sparsely distribute spikes over time. When integrating spike rates over short intervals, HPC neuronal ensembles reached maximum decoded information with fewer neurons than LPFC ensembles. We propose that HPC principal cells have evolved intrinsic properties that enable burst firing and temporal summation of synaptic potentials that ultimately facilitates synaptic plasticity and long-term memory formation. On the other hand, LPFC pyramidal cells have intrinsic properties that allow sparsely distributing spikes over time enabling encoding of short-term memories via persistent firing without necessarily triggering rapid changes in the synapses.


2015 ◽  
Vol 25 (11) ◽  
pp. 4584-4595 ◽  
Author(s):  
Natalie L. Voets ◽  
Ricarda A. L. Menke ◽  
Saad Jbabdi ◽  
Masud Husain ◽  
Richard Stacey ◽  
...  

2013 ◽  
Vol 142 (4) ◽  
pp. 1309-1322 ◽  
Author(s):  
Elizabeth Race ◽  
Karen F. LaRocque ◽  
Margaret M. Keane ◽  
Mieke Verfaellie

2015 ◽  
Vol 26 (5) ◽  
pp. 2006-2017 ◽  
Author(s):  
Sandhitsu R. Das ◽  
Lauren Mancuso ◽  
Ingrid R. Olson ◽  
Steven E. Arnold ◽  
David A. Wolk

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Sean James Fallon ◽  
Matthew Gowell ◽  
Maria Raquel Maio ◽  
Masud Husain

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