Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks

By Chung-Chuan Lo, Xiao-Jing Wang. 2006

531 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

In Cognitive Neuroscience

Citations in the corpus

Normalization as a canonical neural computation (2011, background): “— for example, in the mechanism that triggers eye and limb movement”
The Neurobiology of Decision: Consensus and Controversy (2009, unknown): “Panel (c) adapted with permission from Lo and Wang (2006).”
Attention, learning and the value of information (2012, background): “…models synthesizing these ﬁndings have proposed a process of gated accumulation, whereby the accumulation of information in saccade movement cells is insulated from visual selection unless (or until) an eye movement becomes appropriate (Lo and Wang, 2006; Purcell et al., 2012; Schall et al., 2011).”
Decision making in recurrent neuronal circuits. (2008, methodology): “To test this scenario for a decision threshold, we considered an extended, multiple-circuit model (Lo and Wang, 2006).”
Symbols and quantities in parietal cortex: elements of a mathematical theory of number representation and manipulation (2007, background): “All of these data have been captured in detail by the above-described neuronal models (Mazurek et al., 2003; see also Smith and Ratcliff, 2004; Wong and Wang, 2006; Lo and Wang, 2006).”
Neural basis of reinforcement learning and decision making. (2012, background): “Computational studies have demonstrated that a network of neurons with recurrent excitation and lateral inhibition can perform temporal integration of noisy sensory inputs and produce a signal corresponding to an optimal action (Wang 2002, Lo & Wang, 2006, Beck et al. 2008, Furman & Wang 2008).”
Striatum and pre-SMA facilitate decision-making under time pressure (2008, result): “Lo CC, Wang XJ (2006) Cortico–basal ganglia circuit mechanism for a decision threshold in reaction time tasks.”
Decision-making with multiple alternatives (2008, methodology): “Many models have been proposed to explain the coordination of reaction time and choice accuracy in simple two-choice task”
The speed-accuracy tradeoff: history, physiology, methodology, and behavior (2014, background): “Further lending credence, computational (Ditterich, 2006a; Purcell et al., 2010, 2012; Zandbelt et al., 2014) and neural network models (Lo and Wang, 2006; Wong et al., 2007; Beck et al., 2008; Wang, 2008; www.frontiersin.org June 2014 | Volume 8 | Article 150 | 11 Zhang and Bogacz, 2010;…”
The neural basis of decision making. (2007, background): “In general, it is not clear why core principles perceptual tasks should be abandoned to account these”
Decision theory, reinforcement learning, and the brain (2008, background): “There is also a number of influential connectionist (Usher and McClelland, 2001) and neural (Wang, 2002, 2006; Lo and Wang, 2006) models of this, together with mathematical theory about their interrelationship (Bogacz et al., 2006).”
The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks (2008, background): “Besides these developments, there have been theoretical advances that attempt to produce models based on populations of spiking neurons, modeling the physiological behavior of neurons, synapses, and neurotransmitters (e.g., Lo & Wang, 2006; Wang, 2002; Wong & Wang, 2006).”
Methodological and empirical developments for the Ratcliff diffusion model of response times and accuracy (2009, background): “In contrast, neurocomputational accounts such as those proposed by Brown, Bullock, and Grossberg (2004), Frank (2006), Lo and Wang (2006) do use results from neuroanatomy to inform their modelling.”