scholarly journals Correlates of auditory decision making in prefrontal, auditory, and basal lateral amygdala cortical areas

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


2004 ◽  
Vol 7 (11) ◽  
pp. 1173-1174 ◽  
Author(s):  
Markus Ullsperger ◽  
D Yves von Cramon

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.


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

2014 ◽  
Vol 15 (S1) ◽  
Author(s):  
Adrià Tauste Campo ◽  
Marina Martinez-Garcia ◽  
Verónica Nácher ◽  
Gustavo Deco ◽  
Ranulfo Romo

2018 ◽  
Author(s):  
Jorge Jaramillo ◽  
Jorge F. Mejias ◽  
Xiao-Jing Wang

AbstractComputational modeling of brain mechanisms of cognition has been largely focused on the cortex, but recent experiments have shown that higher-order nuclei of the thalamus, in particular the pulvinar, participate in major cognitive functions and are implicated in psychiatric disorders. Here we show that a pulvino-cortical circuit model, composed of two cortical areas and the pulvinar, captures a range of physiological and behavioral observations related to the macaque pulvinar. Effective connections between the two cortical areas are gated by the pulvinar, allowing the pulvinar to shift the operation regime of these areas during attentional processing and working memory, as well as to resolve decision-making conflict. Furthermore, cortico-pulvinar projections that engage the thalamic reticular nucleus enable the pulvinar to estimate decision-making confidence. Finally, feedforward and feedback pulvino-cortical pathways participate in frequency-dependent inter-areal interactions that modify the relative hierarchical positions of cortical areas. Overall, our model suggests that the pulvinar provides crucial contextual modulation to cortical computations associated with cognition.


2020 ◽  
Author(s):  
Julia L. Napoli ◽  
Corrie R. Camalier ◽  
Anna Leigh Brown ◽  
Jessica Jacobs ◽  
Mortimer M. Mishkin ◽  
...  

AbstractAuditory selective listening and decision making underlies important processes, including attending to a single speaker in a crowded room, often referred to as the cocktail party problem. To examine the neural mechanisms underlying these behaviors, we developed a novel auditory selective listening paradigm for monkeys. In this task, monkeys had to detect a difficult to discriminate target embedded in noise when presented in a pre-cued location (either left or right) and ignore it if it was in the opposite location. While the animals carried out the task we recorded neural activity in primary auditory cortex (AC), dorsal lateral prefrontal cortex (dlPFC) and the basal lateral amygdala (BLA), given that these areas have been implicated in auditory decision making, selective listing, and/or reward-guided decision making. There were two main findings in the neural data. First, primary AC encoded the side of the cue and target, and the monkey’s choice, before either dlPFC or the amygdala. The BLA encoded cue and target variables negligibly, but was engaged at the time of the monkey’s choice. Second, decoding analyses suggested that errors followed primarily from a failure to encode the target stimulus in both AC and PFC, but earlier in AC. Thus, AC neural activity is poised to represent the sensory volley and decision making during selective listening before dlPFC, and they both precede activity in BLA.


2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Sandra Regina Mota-Ortiz ◽  
Marcia Harumi Sukikara ◽  
Luciano Freitas Felicio ◽  
Newton Sabino Canteras

Previous studies have shown that a particular site in the periaqueductal gray (PAG), the rostrolateral PAG, influences the motivation drive to forage or hunt. To have a deeper understanding on the putative paths involved in the decision-making process between foraging, hunting, and other behavioral responses, in the present investigation, we carried out a systematic analysis of the neural inputs to the rostrolateral PAG (rlPAG), using Fluorogold as a retrograde tracer. According to the present findings, the rlPAG appears to be importantly driven by medial prefrontal cortical areas involved in controlling attention-related and decision-making processes. Moreover, the rlPAG also receives a wealth of information from different amygdalar, hypothalamic, and brainstem sites related to feeding, drinking, or hunting behavioral responses. Therefore, this unique combination of afferent connections puts the rlPAG in a privileged position to influence the motivation drive to choose whether hunting and foraging would be the most appropriate adaptive responses.


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