scholarly journals Incorporation of new information into prefrontal cortical activity after learning working memory tasks

2012 ◽  
Vol 109 (12) ◽  
pp. 4651-4656 ◽  
Author(s):  
E. M. Meyers ◽  
X.-L. Qi ◽  
C. Constantinidis
2001 ◽  
Vol 16 (3) ◽  
pp. 371-384 ◽  
Author(s):  
Bart Rypma ◽  
Vivek Prabhakaran ◽  
John E. Desmond ◽  
John D. E. Gabrieli

Cell Reports ◽  
2021 ◽  
Vol 36 (5) ◽  
pp. 109469
Author(s):  
Xue-Lian Qi ◽  
Ruifeng Liu ◽  
Balbir Singh ◽  
David Bestue ◽  
Albert Compte ◽  
...  

Neuroreport ◽  
2017 ◽  
Vol 28 (7) ◽  
pp. 391-396 ◽  
Author(s):  
Yuhei Oi ◽  
Yosuke Kita ◽  
Kota Suzuki ◽  
Yasuko Okumura ◽  
Hideyuki Okuzumi ◽  
...  

2005 ◽  
Vol 162 (11) ◽  
pp. 2061-2070 ◽  
Author(s):  
Ulderico Freo ◽  
Emiliano Ricciardi ◽  
Pietro Pietrini ◽  
Mark B. Schapiro ◽  
Stanley I. Rapoport ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 721
Author(s):  
Russell J. Boag ◽  
Niek Stevenson ◽  
Roel van Dooren ◽  
Anne C. Trutti ◽  
Zsuzsika Sjoerds ◽  
...  

Working memory (WM)-based decision making depends on a number of cognitive control processes that control the flow of information into and out of WM and ensure that only relevant information is held active in WM’s limited-capacity store. Although necessary for successful decision making, recent work has shown that these control processes impose performance costs on both the speed and accuracy of WM-based decisions. Using the reference-back task as a benchmark measure of WM control, we conducted evidence accumulation modeling to test several competing explanations for six benchmark empirical performance costs. Costs were driven by a combination of processes, running outside of the decision stage (longer non-decision time) and showing the inhibition of the prepotent response (lower drift rates) in trials requiring WM control. Individuals also set more cautious response thresholds when expecting to update WM with new information versus maintain existing information. We discuss the promise of this approach for understanding cognitive control in WM-based decision making.


2008 ◽  
Vol 99 (6) ◽  
pp. 2985-2997 ◽  
Author(s):  
Kay Thurley ◽  
Walter Senn ◽  
Hans-Rudolf Lüscher

Dopaminergic modulation of prefrontal cortical activity is known to affect cognitive functions like working memory. Little consensus on the role of dopamine modulation has been achieved, however, in part because quantities directly relating to the neuronal substrate of working memory are difficult to measure. Here we show that dopamine increases the gain of the frequency-current relationship of layer 5 pyramidal neurons in vitro in response to noisy input currents. The gain increase could be attributed to a reduction of the slow afterhyperpolarization by dopamine. Dopamine also increases neuronal excitability by shifting the input-output functions to lower inputs. The modulation of these response properties is mainly mediated by D1 receptors. Integrate-and-fire neurons were fitted to the experimentally recorded input-output functions and recurrently connected in a model network. The gain increase induced by dopamine application facilitated and stabilized persistent activity in this network. The results support the hypothesis that catecholamines increase the neuronal gain and suggest that dopamine improves working memory via gain modulation.


2011 ◽  
Vol 23 (11) ◽  
pp. 3448-3455 ◽  
Author(s):  
Naomi I. Eisenberger ◽  
Tristen K. Inagaki ◽  
Keely A. Muscatell ◽  
Kate E. Byrne Haltom ◽  
Mark R. Leary

On the basis of the importance of social connection for survival, humans may have evolved a “sociometer”—a mechanism that translates perceptions of rejection or acceptance into state self-esteem. Here, we explored the neural underpinnings of the sociometer by examining whether neural regions responsive to rejection or acceptance were associated with state self-esteem. Participants underwent fMRI while viewing feedback words (“interesting,” “boring“) ostensibly chosen by another individual (confederate) to describe the participant's previously recorded interview. Participants rated their state self-esteem in response to each feedback word. Results demonstrated that greater activity in rejection-related neural regions (dorsal ACC, anterior insula) and mentalizing regions was associated with lower-state self-esteem. Additionally, participants whose self-esteem decreased from prescan to postscan versus those whose self-esteem did not showed greater medial prefrontal cortical activity, previously associated with self-referential processing, in response to negative feedback. Together, the results inform our understanding of the origin and nature of our feelings about ourselves.


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