Dynamics of Population Code for Working Memory in the Prefrontal Cortex

Baeg, Eun Ha; Kim, Y.B.; Huh, Kyu Ha; Mook‐Jung, Inhee; Kim, H.T.; Jung, Min Whan

doi:10.1016/s0896-6273(03)00597-x

Cited by 303 publications

(297 citation statements)

References 34 publications

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“…However, PL-IL lesions do not produce a deficit in working memory for a food reward (DeCoteau et al, 1997;Ragozzino & Kesner, 1999). Further support of this conclusion was reported by Chang, Chen, Luo, Shi, and Woodward (2002), who found sustained neural firing in the PL-IL cortex during the delay within a delayed matching-to-position task, and Baeg et al (2003) who recorded from the PL-IL cortex in a spatial delayed alternation task reported an increase in neural firing during the delay period.…”

Section: Working Memory (Short-term Memory)mentioning

confidence: 59%

Neurobiological foundations of an attribute model of memory

Kesner¹

2013

CCBR

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Memory is a complex phenomenon due to a large number of potential interactions that are associated with the organization of memory at the psychological and neural system level. In this review article a tripartite, multiple attribute, multiple process memory model with different forms of memory and its neurobiological underpinnings is represented in terms of the nature, structure or content of information representation as a set of different attributes including language, time, place, response, reward value (affect) and visual object as an example of sensory-perception. For each attribute, information is processed in the event-based, knowledge-based, and rule-based memory systems through multiple operations that involve multiple neural underpinnings. Of the many processes associated with the event-based memory system, the emphasis will be placed on short-term or working memory and pattern separation. Of the many processes associated with the knowledgebased memory system, the emphasis will be placed on perceptual processes. Of the many processes associated with the rule-based memory system the emphasis will be on short-term or working memory and paired associate learning. For all three systems data will be presented to demonstrate differential neuroanatomical mediation and where available parallel results will be presented in rodents, monkeys and humans.

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Section: Working Memory (Short-term Memory)mentioning

confidence: 59%

Neurobiological foundations of an attribute model of memory

Kesner¹

2013

CCBR

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“…These results are consistent with previous reports that showed anticipatory activity from the PFC in delayed working memory tasks. it is well documented that mPFC neurons in rats show sustained activity during the delay period of delay tasks [29,[39][40][41] . in nonhuman primates, the region responsible for working memory is mainly located in the caudal DLPFC [3] .…”

Section: Discussionmentioning

confidence: 99%

“…Previous research showed that neuronal activity in the PFC increases throughout the training of animals to remember past events and prepare for future behavior, suggesting that working memory is mediated by neuronal activity [29] . However, it is still unclear how working memory is encoded within the PFC population [29] .…”

Section: Introductionmentioning

confidence: 99%

Anticipatory activity in rat medial prefrontal cortex during a working memory task

Bai

Liu

et al. 2012

Neurosci. Bull.

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Objective Working memory is a key cognitive function in which the prefrontal cortex plays a crucial role.This study aimed to show the firing patterns of a neuronal population in the prefrontal cortex of the rat in a working memory task and to explore how a neuronal ensemble encodes a working memory event. Methods Sprague-Dawley rats were trained in a Y-maze until they reached an 80% correct rate in a working memory task. Then a 16-channel microelectrode array was implanted in the prefrontal cortex. After recovery, neuronal population activity was recorded during the task, using the Cerebus data-acquisition system. Spatio-temporal trains of action potentials were obtained from the original neuronal population signals. Results During the Y-maze working memory task, some neurons showed significantly increased firing rates and evident neuronal ensemble activity. Moreover, the anticipatory activity was associated with the delayed alternate choice of the upcoming movement. In correct trials, the averaged pre-event firing rate (10.86 ± 1.82 spikes/ bin) was higher than the post-event rate (8.17 ± 1.15 spikes/bin) (P <0.05). However, in incorrect trials, the rates did not differ. Conclusion The results indicate that the anticipatory activity of a neuronal ensemble in the prefrontal cortex may play a role in encoding working memory events.

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“…The mesolimbic and mesocortical pathways, arising mainly from the ventral tegmental area and innervating the mesial parts of the limbic system, including the NAc, AM, HF, and prefrontal cortex, function in incentive motivational processes (1,(7)(8)(9). It has been reported that reward information is processed in the prefrontal cortex, AM, and ventral tegmental area (3,(23)(24)(25)(26)(27)(28), and spatial information is processed in the HF (5,29,30), both of which then converge on NAc neurons (10,11,15,19). The D1R-KO eliminated the prereward excitatory response in the NAc of mice, whereas the response during and after reward was unchanged.…”

Section: Discussionmentioning

confidence: 99%

Dopamine D1 receptors involved in locomotor activity and accumbens neural responses to prediction of reward associated with place

Tran

Tamura²,

Uwano³

et al. 2005

Proc. Natl. Acad. Sci. U.S.A.

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Predicting reward is essential in learning approach behaviors. Dopaminergic activity has been implicated in reward, movement, and cognitive processes, all essential elements in learning. The nucleus accumbens (NAc) receives converging inputs from corticolimbic information-processing areas and from mesolimbic dopamine neurons originating in the ventral tegmental area. Previously, we reported that in mice, a dopamine D2 receptor knockout (D2R-KO) eliminated the prereward inhibitory response, increased place-field size of NAc neurons, and reduced locomotor activity without marked change in intracranial self-stimulation (ICSS) behavior. The present study investigated the specific contribution of dopamine D1 receptor (D1R) in mediating reward, locomotor activity, and spatial associative processes and in regulating NAc neural responses. In contrast to D2R-KO animals, here we find D1R-KO in mice selectively eliminated the prereward excitatory response and decreased place-field size of NAc neurons. Furthermore, D1R-KO impaired ICSS behavior, seriously reduced locomotor activity, and retarded acquisition of a place learning task. Thus, the present results suggest that D1R may be an important determinant in brain stimulation reward (ICSS) and participates in coding for a type of reward prediction of NAc neurons and in spatial learning.dopamine receptor ͉ nucleus accumbens ͉ spatial learning D opaminergic systems innervate the hippocampal formation (HF), prefrontal cortex, amygdala (AM), and ventral striatum and mediate cognitive processes of working memory and learning (1-6). The nucleus accumbens (NAc) is reliably linked to motivation, locomotion, reward-related processes, and some cognitive functions (1,3,(7)(8)(9). It receives excitatory glutamatergic input from the prefrontal cortex, HF, and AM, as well as a dense converging dopaminergic innervation from the ventral tegmental area (3, 10, 11). Thus, NAc neurons are positioned to recognize context-driven patterns of activation and to relay this information to planning and motor executive systems for appropriate behavioral responses (1,3,7,8,12). Dopamine has profound effects on behavior as highlighted in previous studies (13-16). Nevertheless, the contribution of dopamine D1 receptor (D1R) in assessing reward information at neural level and its link to behaviors such as spatial associative learning remains to be specified. In the present study, we used knockout mice lacking D1R (D1R-KO) and their wild-type (WT) littermates to examine the contribution of this receptor in mediating reward, locomotion, and spatial learning and in regulating neural responses to prediction of reward. These mice were tested for their ability to perform several spatial tasks, including random reward place search task (RRPST) and place learning task (PLT), by using intracranial self-stimulation (ICSS) as rewards (15). To investigate the involvement of D1R functions in reward processing and spatial associative processes, we recorded neural activity from the NAc of D1R-KO mice and their WT litte...

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Dynamics of Population Code for Working Memory in the Prefrontal Cortex

Cited by 303 publications

References 34 publications

Neurobiological foundations of an attribute model of memory

Neurobiological foundations of an attribute model of memory

Anticipatory activity in rat medial prefrontal cortex during a working memory task

Dopamine D1 receptors involved in locomotor activity and accumbens neural responses to prediction of reward associated with place

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