Decision making, performance and outcome monitoring in frontal cortical areas

2004 ◽  
Vol 7 (11) ◽  
pp. 1173-1174 ◽  
Author(s):  
Markus Ullsperger ◽  
D Yves von Cramon
2015 ◽  
Vol 112 (15) ◽  
pp. 4761-4766 ◽  
Author(s):  
Adrià Tauste Campo ◽  
Marina Martinez-Garcia ◽  
Verónica Nácher ◽  
Rogelio Luna ◽  
Ranulfo Romo ◽  
...  

Neural correlations during a cognitive task are central to study brain information processing and computation. However, they have been poorly analyzed due to the difficulty of recording simultaneous single neurons during task performance. In the present work, we quantified neural directional correlations using spike trains that were simultaneously recorded in sensory, premotor, and motor cortical areas of two monkeys during a somatosensory discrimination task. Upon modeling spike trains as binary time series, we used a nonparametric Bayesian method to estimate pairwise directional correlations between many pairs of neurons throughout different stages of the task, namely, perception, working memory, decision making, and motor report. We find that solving the task involves feedforward and feedback correlation paths linking sensory and motor areas during certain task intervals. Specifically, information is communicated by task-driven neural correlations that are significantly delayed across secondary somatosensory cortex, premotor, and motor areas when decision making takes place. Crucially, when sensory comparison is no longer requested for task performance, a major proportion of directional correlations consistently vanish across all cortical areas.


2021 ◽  
Author(s):  
Christopher D Harvey ◽  
Charlotte Arlt ◽  
Roberto Barroso-Luque ◽  
Shinichiro Kira ◽  
Carissa A Bruno ◽  
...  

The neural correlates of decision-making have been investigated extensively, and recent work aims to identify under what conditions cortex is actually necessary for making accurate decisions. We discovered that mice with distinct cognitive experiences, beyond sensory and motor learning, use different cortical areas and neural activity patterns to solve the same task, revealing past learning as a critical determinant of whether cortex is necessary for decision-making. We used optogenetics and calcium imaging to study the necessity and neural activity of multiple cortical areas in mice with different training histories. Posterior parietal cortex and retrosplenial cortex were mostly dispensable for accurate decision-making in mice performing a simple navigation-based decision task. In contrast, these areas were essential for the same simple task when mice were previously trained on complex tasks with delay periods or association switches. Multi-area calcium imaging showed that, in mice with complex-task experience, single-neuron activity had higher selectivity and neuron-neuron correlations were weaker, leading to codes with higher task information. Therefore, past experience sets the landscape for how future tasks are solved by the brain and is a key factor in determining whether cortical areas have a causal role in decision-making.


Author(s):  
Xiao-Jing Wang

The prefrontal cortex (PFC) circuits are characterized by several distinct features. First, the input–output connections of a PFC circuit with the rest of the brain are extraordinarily extensive. In the primates, pyramidal neurons in PFC are greatly more spinous than in the primary sensory areas, so they have a much larger capacity for synaptic integration. Second, PFC areas are endowed with strong intrinsic recurrent connections that are sufficient to generate reverberatory activity underlying working memory and decision-making. Third, excitation and inhibition are balanced dynamically. Unlike early sensory cortical areas, in the frontal areas of both monkey and mouse, the synaptic inhibitory circuit is predominated by GABAergic cell subclasses that are dedicated to controlling inputs to, rather than outputs from, pyramidal neurons, likely reflecting the functional demand of selectively gating input pathways into the PFC in accordance with the behavioral context and goals.


2015 ◽  
Vol 13 (5) ◽  
pp. 4-6
Author(s):  
Margot Metz ◽  
Henk Biemans ◽  
Ellen Kessels ◽  
Christina van der Feltz-Cornelis

2013 ◽  
Vol 110 (37) ◽  
pp. 15085-15090 ◽  
Author(s):  
V. Nacher ◽  
A. Ledberg ◽  
G. Deco ◽  
R. Romo

2020 ◽  
pp. JN-RM-2217-20
Author(s):  
Julia L. Napoli ◽  
Corrie R. Camalier ◽  
Anna Leigh Brown ◽  
Jessica Jacobs ◽  
Mortimer M. Mishkin ◽  
...  

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