Mixed selectivity morphs population codes in prefrontal cortex

Parthasarathy, Aishwarya; Herikstad, Roger; Bong, Jit Hon; Medina, Felipe Salvador; Libedinsky, Camilo; Yen, Shih-Cheng

doi:10.1038/s41593-017-0003-2

Cited by 195 publications

(227 citation statements)

References 38 publications

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“…Fine‐tuning of the target template in relation to distractor features may take place in the lateral prefrontal cortex due to the abundance of neurons with mixed selectivity in this area. A recent study demonstrated that information in working memory in monkey's lateral prefrontal cortex reorganized into a different pattern of activity upon distractor presentation, whereas the same code remained stable in frontal eye fields (FEFs) …”

Section: Indirect Preparatory Distractor Suppressionmentioning

confidence: 99%

“…A recent study demonstrated that information in working memory in monkey's lateral prefrontal cortex reorganized into a different pattern of activity upon distractor presentation, whereas the same code remained stable in frontal eye fields (FEFs). 63 A challenge for future work will be to establish how such code morphing or template-to-distractor distinctiveness 17 may help, albeit indirectly, the suppression of distractor processing, especially when targets and distractors are highly similar at the feature level. In particular, it is still unclear whether only the target representation is adjusted, or whether the representation of both targets and distractors can be adapted.…”

Section: Indirect Distractor Suppression Through Template-to-distractmentioning

confidence: 99%

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Inhibition in selective attention

Moorselaar

Slagter

2020

Annals of the New York Academy of Sciences

152

124

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Our ability to focus on goal‐relevant aspects of the environment is critically dependent on our ability to ignore or inhibit distracting information. One perspective is that distractor inhibition is under similar voluntary control as attentional facilitation of target processing. However, a rapidly growing body of research shows that distractor inhibition often relies on prior experience with the distracting information or other mechanisms that need not rely on active representation in working memory. Yet, how and when these different forms of inhibition are neurally implemented remains largely unclear. Here, we review findings from recent behavioral and neuroimaging studies to address this outstanding question. We specifically explore how experience with distracting information may change the processing of that information in the context of current predictive processing views of perception: by modulating a distractor's representation already in anticipation of the distractor, or after integration of top‐down and bottom‐up sensory signals. We also outline directions for future research necessary to enhance our understanding of how the brain filters out distracting information.

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Section: Indirect Preparatory Distractor Suppressionmentioning

confidence: 99%

Section: Indirect Distractor Suppression Through Template-to-distractmentioning

confidence: 99%

Inhibition in selective attention

Moorselaar

Slagter

2020

Annals of the New York Academy of Sciences

152

124

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“…The macaque was trained to perform a delayed saccade task [7]. Electrode arrays of 16-and 32-channels (256 in total), were implanted in the monkey's brain (see fig.…”

Section: Methodsmentioning

confidence: 99%

“…In this paper, building on these previous works, we seek to study the emergence of spatio-temporal coexisting patterns of synchronized and desynchronized behavior, termed chimeralike states, in neurophysiological signals from a macaque monkey and particularly, from prefrontal-cortex intracranial recordings [7].…”

Section: Introductionmentioning

confidence: 99%

“…prefrontal-cortex intracranial recordings) when performing a delayed saccade task for 240 successful trials [7], and compute the corresponding phase synchronization among the brain subregions with implanted electrode arrays. In this context, a trial is successful if the monkey remembered correctly the location of the target in which case it received food as a reward.…”

Section: Introductionmentioning

confidence: 99%

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Emergence of Chimera-like States in Prefrontal-Cortex Macaque Intracranial Recordings

Sigalas

Bezerianos

et al. 2018

2018 International Workshop on Pattern Recognition in Neuroimaging (PRNI)

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Abstract-Neural synchronization plays a crucial role in cognitive functions and in performing tasks as it facilitates the transmission of information among the various brain subregions, and thus their communication. In this paper, we use an approach for analyzing and quantifying the emergence of synchronization patterns used previously in the study of data from toy dynamical models, in neurophysiological signals from a macaque monkey and particularly, from prefrontal-cortex intracranial recordings. Specifically, we study the emergence of synchronization patterns in neural ensembles recorded in the macaque brain while the monkey is performing the same delayed saccade task successfully for a number of times. We quantify the emergence of chimeralike states, metastability and coalition entropy in the recordings coming from intracranial arrays implanted in the macaque's brain. Our results show the emergence of spatio-temporal coexisting patterns of synchronized and desynchronized behavior, termed chimera-like states with small metastability during the stage where the target and the distractor appears on the screen and when the go cue appears on the screen for the monkey to report, namely the two most crucial stages of the trials to be termed successful. Finally, we perform a statistical hypothesis test on the calculated quantities over the successful trials and demonstrate that our findings are statistically significant in the sense that they cannot be attributed to randomness.

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Working Memory: From Neural Activity to the Sentient Mind

Jaffe

Constantinidis

2021

Comprehensive Physiology

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Working memory (WM) is the ability to maintain and manipulate information in the conscious mind over a timescale of seconds. This ability is thought to be maintained through the persistent discharges of neurons in a network of brain areas centered on the prefrontal cortex, as evidenced by neurophysiological recordings in nonhuman primates, though both the localization and the neural basis of WM has been a matter of debate in recent years. Neural correlates of WM are evident in species other than primates, including rodents and corvids. A specialized network of excitatory and inhibitory neurons, aided by neuromodulatory influences of dopamine, is critical for the maintenance of neuronal activity. Limitations in WM capacity and duration, as well as its enhancement during development, can be attributed to properties of neural activity and circuits. Changes in these factors can be observed through training-induced improvements and in pathological impairments. WM thus provides a prototypical cognitive function whose properties can be tied to the spiking activity of brain neurons.

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Mixed selectivity morphs population codes in prefrontal cortex

Cited by 195 publications

References 38 publications

Inhibition in selective attention

Inhibition in selective attention

Emergence of Chimera-like States in Prefrontal-Cortex Macaque Intracranial Recordings

Working Memory: From Neural Activity to the Sentient Mind

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