A role for neural integrators in perceptual decision making.

By M. Mazurek, J. Roitman, Jochen Ditterich, Michael N. Shadlen. Cerebral Cortex, 2003

660 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/dc430a30bd045914a837bc2527ab57f5f90c6f35

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In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Probabilistic population codes for Bayesian decision making (2008, methodology): “At first glance, it might appear that our model does not differ much from previous neural models of decision making (Machens et al., 2005; Mazurek et al., 2003; Ratcliff and Rouder, 1998; Reddi and Carpenter, 2000; Smith and Ratcliff, 2004; Usher and McClelland, 2001; Wang, 2002; Wong and Wang, 2006”
Integrated Neural Processes for Defining Potential Actions and Deciding between Them: A Computational Model (2006, background): “…class of theories called “sequential sampling models,” which suggest that decision making involves the gradual accumulation of information about given choices until a threshold is reached (Roe et al., 2001; Usher and McClelland, 2001; Mazurek et al., 2003; Reddi et al.,2003;SmithandRatcliff,2004).”
Decision-making with multiple alternatives (2008, background): “First, a formal model of bounded accumulation accounts quantitatively for subjects' speed and accurac”
Bayesian Spiking Neurons I: Inference (2008, background): “Integrator neurons of this type have been reported (Mazurek et al., 2003).”
Psychology and neurobiology of simple decisions. (2004, background): “Mazurek et al. [ 59 ] described a model for the coherent-motion task (Figure 1d) in which evidence from direction-sensitive neurons in MT is accumulated by two pools of mutually inhibitory neurons in LIP.”
Decision making in recurrent neuronal circuits. (2008, background): “By contrast, a neural implementation of the diffusion model yields the opposite effect (Mazurek et al., 2003).”
A Recurrent Network Mechanism of Time Integration in Perceptual Decisions (2006, methodology): “This provides a rigorous mathematical explanation as to why in our model the decision times in error trials are generally longer than in correct trials, a salient behavioral observation in the monkey experiments (Roitman and Shadlen, 2002; Mazurek et al., 2003) that is reproduced by our model.”
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks (2008, methodology): “Beginning with Hanes and Schall’s pioneering work (1996) and Shadlen and colleagues’ (e.g., Gold & Shadlen, 2001) efforts to integrate diffusion processes and neural decision making, research in this area has rapidly advanced (Ditterich, 2006; Gold & Shadlen, 2001; Hanes & Schall, 1996; Huk & Shadle”
Reward-based training of recurrent neural networks for cognitive and value-based tasks (2016, background): “The reaction time as a function of coherence in the reaction-time version of the same task, in which the go cue coincides with the time of stimulus onset, is also shown in Figure 1—figure supplement 2 and may be compared, e.g., to Wang (2002) ; Mazurek et al. (2003) ; Wong and Wang (2006) .”
Probabilistic vs. non-probabilistic approaches to the neurobiology of perceptual decision-making. (2012, background): “Future challenges include how to perform closeto-optimal inference even if the neural encoding deviates from the exponential family with linear sufficient statistics, as, for example, observed in MT [29 ,46 ,60] or”
The physics of optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. (2006, background): “Feedforward inhibition model Shadlen & Newsome (2001) (cf. Ditterich et al., 2003; Mazurek et al., 2003) proposed a feedforward inhibition model for area LIP (Figure 3c).”
An integrative theory of locus coeruleus-norepinephrine function: adaptive gain and optimal performance. (2005, background): “…the lateral interoparietal cortex (LIP) and frontal eye fields (FEF), areas whose neurons meet many criteria for neural integrators of information in models of simple decision making (Gold & Shadlen 2001, Hanes & Schall 1996, Mazurek et al. 2003, Schall & Thompson 1999, Shadlen & Newsome 1996).”