Distinct effects of prefrontal and parietal cortex inactivations on an accumulation of evidence task in the rat

Erlich, Jeffrey C; Brunton, Bingni W.; Duan, Chunyu A.; Hanks, Timothy D.; Brody, Carlos D.

doi:10.7554/elife.05457

Cited by 212 publications

(346 citation statements)

References 88 publications

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“…In this control task, monkeys chose freely between two saccade targets in the absence of a motion stimulus. Inactivation in LIP shifted choices away from the target in the contralesional hemifield, consistent with previous inactivation studies in monkeys, rodents, and humans (Balan & Gottlieb 2009, Erlich et al 2015, Kerkhoff 2001, Kubanek et al 2015, Wardak et al 2002, Wilke et al 2012, Zirnsak et al 2015), and indicating that neural activity in LIP—although necessary for guiding free choices—is not necessary for the type of perceptual decision traditionally used to elicit decision-correlated activity in LIP.…”

Section: Causal Interrogations Of Lip and Distributed Processing Forsupporting

confidence: 87%

The Role of the Lateral Intraparietal Area in (the Study of) Decision Making

Huk

Katz

Yates

2017

Annu. Rev. Neurosci.

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Over the past two decades, neurophysiological responses in the lateral intraparietal area (LIP) have received extensive study for insight into decision-making. In a parallel manner, inferred cognitive processes have enriched interpretations of LIP activity. Because of this bidirectional interplay between physiology and cognition, LIP has served as fertile ground for developing quantitative models that link neural activity with decision-making. These models stand as some of the most important frameworks for linking brain and mind, and they are now mature enough to be evaluated in finer detail and integrated with other lines of investigation of LIP function. Here, we focus on the relationship between LIP responses and known sensory and motor events in perceptual decision-making tasks, as assessed by correlative and causal methods. The resulting sensorimotor-focused approach offers an account of LIP activity as a multiplexed amalgam of sensory, cognitive, and motor-related activity, with a complex and often indirect relationship to decision processes. Our data-driven focus on multiplexing (and de-multiplexing) of various response components can complement decision-focused models and provides more detailed insight into how neural signals might relate to cognitive processes such as decision-making.

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Section: Causal Interrogations Of Lip and Distributed Processing Forsupporting

confidence: 87%

The Role of the Lateral Intraparietal Area in (the Study of) Decision Making

Huk

Katz

Yates

2017

Annu. Rev. Neurosci.

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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%

“…In other instances, however, “late weighting” has been observed, where choices were primarily influenced by sensory evidence presented in late stimulus epochs (Tsetsos et al, 2012; Cheadle et al, 2014; Bronfman et al, 2016; Carland et al, 2016). In rodents, a mixture of either early or flat weighting profiles has been reported (Erlich et al, 2015; Scott et al, 2015; Pinto et al, 2017; Licata et al, 2017). …”

Section: Introductionmentioning

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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“…Another body of experiments, performed both in primates and in rodents, indicated a role of PPC in decision making, especially for decisions based on vision (Andersen and Cui, 2009;Erlich et al, 2015;Goard et al, 2016;Gold and Shadlen, 2007;Katz et al, 2016;Latimer et al, 2015;Licata et al, 2017;Platt and Glimcher, 1999;Raposo et al, 2014;Sugrue et al, 2004). Studies in rodents found decision signals to be widespread in PPC populations, where they are mixed with other signals (Goard et al, 2016;Raposo et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Decision and navigation in mouse parietal cortex

Krumin

Lee

Harris³

et al. 2017

Preprint

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Posterior parietal cortex (PPC) has been involved in controlling body movement and navigation, and in making decisions based on vision. To evaluate these views, we measured PPC activity while mice performed a visual decision task by virtual navigation. We discovered that PPC neurons are selective for specific combinations of the animal's position in the environment and of its heading angle. This selectivity closely predicted the activity of PPC cells, including their apparent selectivity for the mouse's decision and the arrangement of their firing patterns in sequences, both of which simply reflected the influence on PPC of the animal's navigation trajectory. Alternative models based on visual or motor variables were not as successful. We conclude that when mice use vision to make spatial choices, parietal cortex encodes navigational attributes such as position and heading rather than decisions.

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Distinct effects of prefrontal and parietal cortex inactivations on an accumulation of evidence task in the rat

Cited by 212 publications

References 88 publications

The Role of the Lateral Intraparietal Area in (the Study of) Decision Making

The Role of the Lateral Intraparietal Area in (the Study of) Decision Making

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

Decision and navigation in mouse parietal cortex

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