Autocorrelation Structure in the Macaque Dorsolateral, But not Orbital or Polar, Prefrontal Cortex Predicts Response-Coding Strength in a Visually Cued Strategy Task

Fascianelli, V.; Tsujimoto, Satoshi; Marcos, Encarni; Genovesio, Aldo

doi:10.1093/cercor/bhx321

Cited by 28 publications

(60 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… was mostly driven by between-region differences and was not a property of individual neural response. In addition, our findings contradict a few recent studies showing that intrinsic timescales based on autocorrelation can predict encoding of task-relevant signals in some cortical areas(Cavanagh et al,, 2016;Cavanagh et al, 2018;Fascianelli et al, 2019;Nishida et al, 2014;Wasmuht et al, 2018). This could be due to differences in the experimental paradigms, methods for estimations of intrinsic timescales, or both, and could simply reflect reporting bias considering the large number of studies that have examined the decay in autocorrelation of neural response.…”

contrasting

confidence: 98%

“…A few recent studies have shown that intrinsic timescales during the fixation period-presumably before strong task-relevant signals emerge in the cortical activity --can predict encoding of task-relevant signals later in the trial for some but not all cortical areas. This includes the encoding of chosen value during value-guided decision making (Cavanagh et al, 2016), persistent activity during working-memory tasks (Nishida et al, 2014;Cavanagh et al, 2018;Wasmuht et al, 2018), and activity related to upcoming behavioral responses during a visually-cued strategy task (Fascianelli et al, 2019;Cirillo et al, 2018). However, in all these studies, the decay rate of autocorrelation in the firing response of individual neurons during one epoch of the task (fixation period) is compared with encoding of task-relevant signals in other epochs of the task.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multiple timescales of neural dynamics and integration of task-relevant signals across cortex

Spitmaan

Seo

Lee

et al. 2020

Preprint

View full text Add to dashboard Cite

150 words Introduction: 625 words Total word count (excluding Methods and References): 4700 Total character count (excluding Methods and References): 28000 AbstractRecent studies have proposed the orderly progression in the time constants of neural dynamics as an organizational principle of cortical computations. However, relationships between these timescales and their dependence on response properties of individual neurons are unknown. We developed a comprehensive method to simultaneously estimate multiple timescales in neuronal dynamics and integration of task-relevant signals along with selectivity to those signals. We found that most neurons exhibited multiple timescales in their response, which consistently increased from parietal to prefrontal to cingulate cortex. While predicting rates of behavioral adjustments, these timescales were not correlated across individual neurons in any cortical area, resulting in independent parallel hierarchies of timescales. Additionally, none of these timescales depended on selectivity to task-relevant signals. Our results not only suggest multiple canonical mechanisms for increasing timescales of neural dynamics across cortex but also point to additional mechanisms that allow decorrelation of these timescales to enable more flexibility.

show abstract

contrasting

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Multiple timescales of neural dynamics and integration of task-relevant signals across cortex

Spitmaan

Seo

Lee

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…(2014) found that neurons with delay activity specialized to maintain information presented slow intrinsic timescales. Similar results were later described in the PFC (Cavanagh et al., 2016, Fascianelli et al., 2017), but with differences between the PF subdivisions between the two studies, which could be explained by task differences. Fascianelli et al.…”

Section: Introductionsupporting

confidence: 86%

“…Other studies, using another approach, instead of focusing on the heterogeneity of timescales across areas, examined differences in intrinsic timescales across neurons within the same cortical area (Nishida et al., 2014, Cavanagh et al., 2016, Fascianelli et al., 2017), to address whether distinct functional classes of neurons might also show timescale differences based on their specific functions.…”

Section: Introductionmentioning

confidence: 99%

Neural Intrinsic Timescales in the Macaque Dorsal Premotor Cortex Predict the Strength of Spatial Response Coding

et al. 2018

Self Cite

View full text Add to dashboard Cite

SummaryOur brain continuously receives information over multiple timescales that are differently processed across areas. In this study, we investigated the intrinsic timescale of neurons in the dorsal premotor cortex (PMd) of two rhesus macaques while performing a non-match-to-goal task. The task rule was to reject the previously chosen target and select the alternative one. We defined the intrinsic timescale as the decay constant of the autocorrelation structure computed during a baseline period of the task. We found that neurons with longer intrinsic timescale tended to maintain a stronger spatial response coding during a delay period. This result suggests that longer intrinsic timescales predict the functional role of PMd neurons in a cognitive task. Our estimate of the intrinsic timescale integrates an existing hierarchical model (Murray et al., 2014), by assigning to PMd a lower position than prefrontal cortex in the hierarchical ordering of the brain areas based on neurons' timescales.

show abstract

“…Persistent activity has been reported in multiple cortical areas with differing functional properties. The intrinsic timescales of neural activity have been found to vary between cortical regions 18 in a manner that predicts the functional properties of persistent activity across cortical regions 19 , 20 . “In addition to prefrontal activity, sensory areas have been found to encode stimulus information across a delay period in the form of post-stimulatory activity.…”

Section: Introductionmentioning

confidence: 99%

Post-stimulatory activity in primate auditory cortex evoked by sensory stimulation during passive listening

Cooke

Lee

Bartlett

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Under certain circumstances, cortical neurons are capable of elevating their firing for long durations in the absence of a stimulus. Such activity has typically been observed and interpreted in the context of performance of a behavioural task. Here we investigated whether post-stimulatory activity is observed in auditory cortex and the medial geniculate body of the thalamus in the absence of any explicit behavioural task. We recorded spiking activity from single units in the auditory cortex (fields A1, R and RT) and auditory thalamus of awake, passively-listening marmosets. We observed poststimulatory activity that lasted for hundreds of milliseconds following the termination of the acoustic stimulus. post-stimulatory activity was observed following both adapting, sustained and suppressed response profiles during the stimulus. These response types were observed across all cortical fields tested, but were largely absent from the auditory thalamus. As well as being of shorter duration, thalamic post-stimulatory activity emerged following a longer latency than in cortex, indicating that post-stimulatory activity may be generated within auditory cortex during passive listening. Given that these responses were observed in the absence of an explicit behavioural task, post-stimulatory activity in sensory cortex may play a functional role in processes such as echoic memory and temporal integration that occur during passive listening. Neurons in a number of cortical areas have been found to fire for durations on the order of seconds in the absence of sensory stimulation 1-7. This phenomenon was first described in the context of working memory tasks 8. In such tasks, subjects are typically presented with a cue and are required to respond after a delay period, during which the cue is no longer available. Neurons in the dorsolateral prefrontal cortex of macaque have been found to fire continuously during such delay periods, providing a possible substrate for the maintenance of information in working memory 1,2,6,9-14. In keeping with this proposed function, suppressing this activity has been shown to impair performance on working memory tasks 15-17. Such activity has been found to carry spatial information such as the location of visual stimulus 1,3-5 as well as the direction of a forthcoming saccade 6. Persistent activity has been reported in multiple cortical areas with differing functional properties. The intrinsic timescales of neural activity have been found to vary between cortical regions 18 in a manner that predicts the functional properties of persistent activity across cortical regions 19,20. "In addition to prefrontal activity, sensory areas have been found to encode stimulus information across a delay period in the form of post-stimulatory activity. In a tone discrimination task where the tones were separated by a one-second delay period, neurons in the auditory cortex of the macaque were found to elevate their firing during the delay period 7. The presence of persistent delay period activity in auditory cortex d...

show abstract

Autocorrelation Structure in the Macaque Dorsolateral, But not Orbital or Polar, Prefrontal Cortex Predicts Response-Coding Strength in a Visually Cued Strategy Task

Cited by 28 publications

References 60 publications

Multiple timescales of neural dynamics and integration of task-relevant signals across cortex

Multiple timescales of neural dynamics and integration of task-relevant signals across cortex

Neural Intrinsic Timescales in the Macaque Dorsal Premotor Cortex Predict the Strength of Spatial Response Coding

Post-stimulatory activity in primate auditory cortex evoked by sensory stimulation during passive listening

Contact Info

Product

Resources

About