History-dependent variability in population dynamics during evidence accumulation in cortex

Morcos, Ari S.; Harvey, Christopher D.

doi:10.1038/nn.4403

Cited by 233 publications

(340 citation statements)

References 58 publications

(73 reference statements)

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“…The activity patterns of PPC neurons on a single day were consistent with those reported previously (Harvey et al, 2012; Morcos and Harvey, 2016). Individual neurons were transiently active, such that PPC activity tiled the duration of a trial (Figure 1E).…”

Section: Resultssupporting

confidence: 90%

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex

Driscoll

Pettit

Minderer

et al. 2017

Cell

372

420

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Summary Neuronal representations change as associations are learned between sensory stimuli and behavioral actions. However, it is poorly understood whether representations for learned associations stabilize in cortical association areas or continue to change following learning. We tracked the activity of posterior parietal cortex neurons for a month as mice stably performed a virtual-navigation task. The relationship between cells’ activity and task features was mostly stable on single days but underwent major reorganization over weeks. The neurons informative about task features (trial type and maze locations) changed across days. Despite changes in individual cells, the population activity had statistically similar properties each day and stable information for over a week. As mice learned additional associations, new activity patterns emerged in the neurons used for existing representations without greatly affecting the rate of change of these representations. We propose that dynamic neuronal activity patterns could balance plasticity for learning and stability for memory.

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Section: Resultssupporting

confidence: 90%

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex

Driscoll

Pettit

Minderer

et al. 2017

Cell

372

420

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“…The most lateral and posterior extent of PPC, area PtP (Paxinos & Franklin, 2012), overlapped partly with anterior area RL. These areas are referred to as "extrastriate", implying a primacy of visual processing (Andermann et al, 2011;Garrett et al, 2014;Marshel et al, 2011;Wang & Burkhalter, 2007), though they overlap considerably with PPC, which has cognitive (Akrami, Kopec, Diamond, & Brody, 2018;Harvey et al, 2012;Hwang et al, 2017;Morcos & Harvey, 2016), navigational (Nitz, 2006(Nitz, , 2012, and movement-related Whitlock et al, 2012) functions that can be expressed independently of visual input. For example, tetrode recordings in unrestrained rats targeting the posterior extent of PPC-appearing to coincide with area AM-showed widespread tuning to self-motion and angular head velocity in addition to visual landmarks (Chen, Lin, Barnes, & McNaughton, 1994;Chen & McNaughton, 1988).…”

Section: Discussionmentioning

confidence: 99%

Architecture and organization of mouse posterior parietal cortex relative to extrastriate areas

Hovde

Gianatti

Whitlock

2018

Eur J of Neuroscience

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The posterior parietal cortex (PPC) is a multifaceted region of cortex, contributing to several cognitive processes, including sensorimotor integration and spatial navigation. Although recent years have seen a considerable rise in the use of rodents, particularly mice, to investigate PPC and related networks, a coherent anatomical definition of PPC in the mouse is still lacking. To address this, we delineated the mouse PPC, using cyto‐ and chemoarchitectural markers from Nissl‐, parvalbumin‐and muscarinic acetylcholine receptor M2‐staining. Additionally, we performed bilateral triple anterograde tracer injections in primary visual cortex (V1) and prepared flattened tangential sections from one hemisphere and coronal sections from the other, allowing us to co‐register the cytoarchitectural features of PPC with V1 projections. This revealed that extrastriate area A was largely contained within lateral PPC, that medial PPC overlapped with the anterior portion of area AM, and that anterior RL overlapped partially with area PtP. Furthermore, triple anterograde tracer injections in PPC showed strong projections to associative thalamic nuclei as well as higher visual areas, orbitofrontal, cingulate and secondary motor cortices. Retrograde circuit mapping with rabies virus further showed that all cortical connections were reciprocal. These combined approaches provide a coherent definition of mouse PPC that incorporates laminar architecture, extrastriate projections, thalamic, and cortico–cortical connections.

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“…This is of possible broader interest, for example, in linking to rodent work (Erlich et al, 2015, Scott et al, 2015, Morcos and Harvey 2016, Pinto et al, 2017, Odoemene et al, 2017, Licata et al, 2017). …”

Section: Discussionmentioning

confidence: 99%

Strategic and Dynamic Temporal Weighting for Perceptual Decisions in Humans and Macaques

Levi

Yates

Huk

et al. 2018

eNeuro

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Perceptual decision-making is often modeled as the accumulation of sensory evidence over time. Recent studies using psychophysical reverse correlation have shown that even though the sensory evidence is stationary over time, subjects may exhibit a time-varying weighting strategy, weighting some stimulus epochs more heavily than others. While previous work has explained time-varying weighting as a consequence of static decision mechanisms (e.g., decision bound or leak), here we show that time-varying weighting can reflect strategic adaptation to stimulus statistics, and thus can readily take a number of forms. We characterized the temporal weighting strategies of humans and macaques performing a motion discrimination task in which the amount of information carried by the motion stimulus was manipulated over time. Both species could adapt their temporal weighting strategy to match the time-varying statistics of the sensory stimulus. When early stimulus epochs had higher mean motion strength than late, subjects adopted a pronounced early weighting strategy, where early information was weighted more heavily in guiding perceptual decisions. When the mean motion strength was greater in later stimulus epochs, in contrast, subjects shifted to a marked late weighting strategy. These results demonstrate that perceptual decisions involve a temporally flexible weighting process in both humans and monkeys, and introduce a paradigm with which to manipulate sensory weighting in decision-making tasks.

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History-dependent variability in population dynamics during evidence accumulation in cortex

Cited by 233 publications

References 58 publications

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex

Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex

Architecture and organization of mouse posterior parietal cortex relative to extrastriate areas

Strategic and Dynamic Temporal Weighting for Perceptual Decisions in Humans and Macaques

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