2018
DOI: 10.1038/s41467-017-02764-x
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Fluid network dynamics in the prefrontal cortex during multiple strategy switching

Abstract: Coordinated shifts of neuronal activity in the prefrontal cortex are associated with strategy adaptations in behavioural tasks, when animals switch from following one rule to another. However, network dynamics related to multiple-rule changes are scarcely known. We show how firing rates of individual neurons in the prelimbic and cingulate cortex correlate with the performance of rats trained to change their navigation multiple times according to allocentric and egocentric strategies. The concerted population a… Show more

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Cited by 47 publications
(43 citation statements)
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“…Shifting between different types of behavior is one of the core executive control functions (3,4), and switching paradigms have been often used to investigate behavioral flexibility and its underlying neural mechanisms. Previous neuropsychological and neuroimaging studies of human and non-human animals suggest a critical role of the prefrontal cortex in switching tasks and rules (5)(6)(7)(8)(9)(10)(11)(12)(13) (Fig. 1A).…”
Section: Introductionmentioning
confidence: 73%
“…Shifting between different types of behavior is one of the core executive control functions (3,4), and switching paradigms have been often used to investigate behavioral flexibility and its underlying neural mechanisms. Previous neuropsychological and neuroimaging studies of human and non-human animals suggest a critical role of the prefrontal cortex in switching tasks and rules (5)(6)(7)(8)(9)(10)(11)(12)(13) (Fig. 1A).…”
Section: Introductionmentioning
confidence: 73%
“…Activity of mPFC neurons correlates with task outcomes with both positive (Gruber et al, 2010 ; Horst and Laubach, 2013 ; Orsini et al, 2015 ; Pinto and Dan, 2015 ; Amarante et al, 2017 ) and negative valence (Senn et al, 2014 ; Halladay and Blair, 2015 ; Pinto and Dan, 2015 ; Kim et al, 2017 ; Rozeske et al, 2018 ) and distinct populations of mPFC neurons are selectively activated during movement and movement inhibition (Halladay and Blair, 2015 ). Moreover, incorporation of task rules in the mPFC leads to adaptive strategies to optimize task outcome (Durstewitz et al, 2010 ; Euston et al, 2012 ; Horst and Laubach, 2012 ; Narayanan et al, 2013 ; Cho et al, 2015 ; Orsini et al, 2015 ; Guise and Shapiro, 2017 ; Malagon-Vina et al, 2018 ). Additionally, the mPFC is critically involved in bottom-up detection of tactile sensory input (Le Merre et al, 2018 ), as well as top-down filtering of visual and auditory sensory information (Zhang et al, 2014 ; Wimmer et al, 2015 , 2016 ; Kim H. et al, 2016 ; Schmitt et al, 2017 ).…”
Section: Introductionmentioning
confidence: 99%
“…Not surprisingly, neuronal correlates of sensory information are found in the mPFC during auditory “Go”/“No-go” tasks (Pinto and Dan, 2015 ; Kamigaki and Dan, 2017 ) and during a visual attention task (Kim H. et al, 2016 ). Furthermore, short-term task rules are represented transiently by spiking patterns in mPFC populations (Durstewitz et al, 2010 ; Rodgers and DeWeese, 2014 ; Malagon-Vina et al, 2018 ) and combined audiovisual selective attention tasks require correct spiking in mPFC axons to thalamus (Wimmer et al, 2015 ; Schmitt et al, 2017 ). The mPFC is thus ideally situated in the circuitry to drive learned behavior under conditions when sensory information guides decision making and behavioral output.…”
Section: Introductionmentioning
confidence: 99%
“…Fr2, medial agranular cortex, premotor cortex, dorsomedial prefrontal cortex, and frontal 18 orienting field. With respect to navigation, published work indicates that M2 neuron firing predicts 19 upcoming navigational choices from a single environmental location 41 and that neighboring 20 prefrontal cortex sub-regions encode information related to rules for navigation as well as 21 anticipated effort and reward associated with a route [48][49][50][51][52][53][54][55][56][57][58][59][60][61][62] . Yet, whether M2 neuron firing 22 dynamics are consistent with a role transitioning a broader and spatially distributed set of 23…”
Section: Introduction 17mentioning
confidence: 99%