2017
DOI: 10.1016/j.conb.2017.07.006
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Characterizing and interpreting the influence of internal variables on sensory activity

Abstract: The concept of a tuning curve has been central for our understanding of how the responses of cortical neurons depend on external stimuli. Here, we describe how the influence of unobserved internal variables on sensory responses, in particular correlated neural variability, can be understood in a similar framework. We suggest that this will lead to deeper insights into the relationship between stimulus, sensory responses, and behavior. We review related recent work and discuss its implication for distinguishing… Show more

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Cited by 30 publications
(25 citation statements)
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“…First, our primary goal was to assess how simple decoders might approximate optimal performance, a concept that is not applicable to the prediction of choice from neural responses. Second, since the publication of the original reports of choice-correlated fluctuations of MT response, a number of alternative interpretations of this relation have been put forth (Bondy et al 2018;Lange and Haefner 2017;Nienborg and Cumming 2009). Likewise, the mathematical frameworks for relating the activity of neural ensembles to choices have become increasingly sophisticated (Panzeri et al 2017).…”
Section: Discussionmentioning
confidence: 99%
“…First, our primary goal was to assess how simple decoders might approximate optimal performance, a concept that is not applicable to the prediction of choice from neural responses. Second, since the publication of the original reports of choice-correlated fluctuations of MT response, a number of alternative interpretations of this relation have been put forth (Bondy et al 2018;Lange and Haefner 2017;Nienborg and Cumming 2009). Likewise, the mathematical frameworks for relating the activity of neural ensembles to choices have become increasingly sophisticated (Panzeri et al 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Unlike which is an effect of the decision-making threshold mechanism and shared by all neurons, is specific to and generally different for each neuron, reflecting its role in the perceptual decision-making process. A CC stimulus dependence may arise as a result of stimulus-dependent decision feedback ( Haefner et al, 2016 ; Bondy et al, 2018 ; Lange and Haefner, 2017 ), or other sources of stimulus-dependent cross-neuronal correlations ( Ponce-Alvarez et al, 2013 ; Orbán et al, 2016 ) such as shared gain fluctuations ( Goris et al, 2014 ). In fact, we will show below that gain-induced stimulus-dependent cross-neuronal correlations account for observed features in our empirical data.…”
Section: Resultsmentioning
confidence: 99%
“…Experimental ( Nienborg and Cumming, 2009 ; Cohen and Maunsell, 2009a ; Bondy et al, 2018 ), and theoretical ( Lee and Mumford, 2003 ; Maunsell and Treue, 2006 ; Wimmer et al, 2015 ; Haefner et al, 2016 ; Ecker et al, 2016 ) work indicates that top-down modulations of sensory responses play an important role in the perceptual decision-making process. In particular, feedback signals are expected to show cell-specific stimulus dependencies associated with the tuning properties ( Lange and Haefner, 2017 ). Different coding theories attribute different roles to the feedback signals, for example, conveying predictive errors ( Rao and Ballard, 1999 ) or prior information for probabilistic inference ( Lee and Mumford, 2003 ; Fiser et al, 2010 ; Haefner et al, 2016 ; Tajima et al, 2016 ; Bányai and Orbán, 2019 , Bányai et al, 2019 ; Lange and Haefner, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…This latter process can contextually enable, route, and gate choice information [18], thus greatly affecting how choice signals are distributed in these areas. It is therefore possible that during a task choice signals are simultaneously represented across multiple areas, with amplitudes that, relative to concurrently represented processes, are areas-specific and contextually modulated by the internal state of the animal [19].…”
Section: Introductionmentioning
confidence: 99%