scholarly journals Coding of Auditory-Stimulus Identity in the Auditory Non-Spatial Processing Stream

2008 ◽  
Vol 99 (1) ◽  
pp. 87-95 ◽  
Author(s):  
Brian E. Russ ◽  
Ashlee L. Ackelson ◽  
Allison E. Baker ◽  
Yale E. Cohen
Keyword(s):  
Prefrontal Cortex ◽  
Information Processing ◽  
Auditory Stimulus ◽  
Superior Temporal Gyrus ◽  
Spatial Processing ◽  
Ventrolateral Prefrontal Cortex ◽  
Cortical Areas ◽  
Processing Stream ◽  
Neural Computations ◽  
Stimulus Identity

The neural computations that underlie the processing of auditory-stimulus identity are not well understood, especially how information is transformed across different cortical areas. Here, we compared the capacity of neurons in the superior temporal gyrus (STG) and the ventrolateral prefrontal cortex (vPFC) to code the identity of an auditory stimulus; these two areas are part of a ventral processing stream for auditory-stimulus identity. Whereas the responses of neurons in both areas are reliably modulated by different vocalizations, STG responses code significantly more vocalizations than those in the vPFC. Together, these data indicate that the STG and vPFC differentially code auditory identity, which suggests that substantial information processing takes place between these two areas. These findings are consistent with the hypothesis that the STG and the vPFC are part of a functional circuit for auditory-identity analysis.

Heschl's Gyrus, Posterior Superior Temporal Gyrus, and Mid-Ventrolateral Prefrontal Cortex Have Different Roles in the Detection of Acoustic Changes

2007 ◽  
Vol 97 (3) ◽  
pp. 2075-2082 ◽  
Author(s):  
Marc Schönwiesner ◽  
Nikolai Novitski ◽  
Satu Pakarinen ◽  
Synnöve Carlson ◽  
Mari Tervaniemi ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Primary Auditory Cortex ◽  
Superior Temporal Gyrus ◽  
Sufficient Accuracy ◽  
Planum Temporale ◽  
Ventrolateral Prefrontal Cortex ◽  
Acoustic Environment ◽  
Attentional Resources ◽  
Cortical Areas ◽  
Three Stages

A part of the auditory system automatically detects changes in the acoustic environment. This preattentional process has been studied extensively, yet its cerebral origins have not been determined with sufficient accuracy to allow comparison to established anatomical and functional parcellations. Here we used event-related functional MRI and EEG in a parametric experimental design to determine the cortical areas in individual brains that participate in the detection of acoustic changes. Our results suggest that automatic change processing consists of at least three stages: initial detection in the primary auditory cortex, detailed analysis in the posterior superior temporal gyrus and planum temporale, and judgment of sufficient novelty for the allocation of attentional resources in the mid-ventrolateral prefrontal cortex.

scholarly journals Functional Connection Between Posterior Superior Temporal Gyrus and Ventrolateral Prefrontal Cortex in Human

2012 ◽  
Vol 23 (10) ◽  
pp. 2309-2321 ◽  
Author(s):  
P. C. Garell ◽  
H. Bakken ◽  
J. D. W. Greenlee ◽  
I. Volkov ◽  
R. A. Reale ◽  
...  
Keyword(s):  
Prefrontal Cortex ◽  
Superior Temporal Gyrus ◽  
Functional Connection ◽  
Ventrolateral Prefrontal Cortex

scholarly journals Computational models of adaptive behavior and prefrontal cortex

2021 ◽  
Author(s):  
Alireza Soltani ◽  
Etienne Koechlin
Keyword(s):  
Prefrontal Cortex ◽  
Adaptive Behavior ◽  
Computational Models ◽  
Cognitive Architecture ◽  
Behavioral Outcomes ◽  
Internal Models ◽  
Multiple Systems ◽  
Statistical Inferences ◽  
Neural Computations ◽  
Task Sets

AbstractThe real world is uncertain, and while ever changing, it constantly presents itself in terms of new sets of behavioral options. To attain the flexibility required to tackle these challenges successfully, most mammalian brains are equipped with certain computational abilities that rely on the prefrontal cortex (PFC). By examining learning in terms of internal models associating stimuli, actions, and outcomes, we argue here that adaptive behavior relies on specific interactions between multiple systems including: (1) selective models learning stimulus–action associations through rewards; (2) predictive models learning stimulus- and/or action–outcome associations through statistical inferences anticipating behavioral outcomes; and (3) contextual models learning external cues associated with latent states of the environment. Critically, the PFC combines these internal models by forming task sets to drive behavior and, moreover, constantly evaluates the reliability of actor task sets in predicting external contingencies to switch between task sets or create new ones. We review different models of adaptive behavior to demonstrate how their components map onto this unifying framework and specific PFC regions. Finally, we discuss how our framework may help to better understand the neural computations and the cognitive architecture of PFC regions guiding adaptive behavior.

A parametric relief signal in human ventrolateral prefrontal cortex

NeuroImage ◽  
2009 ◽  
Vol 44 (3) ◽  
pp. 1163-1170 ◽  
Author(s):  
Juri Fujiwara ◽  
Philippe N. Tobler ◽  
Masato Taira ◽  
Toshio Iijima ◽  
Ken-Ichiro Tsutsui
Keyword(s):  
Prefrontal Cortex ◽  
Ventrolateral Prefrontal Cortex
Sign in / Sign up

Export Citation Format

Share Document