Behavioral shifts and action valuation in the anterior cingulate cortex.

By René Quilodran, Marie Rothé, Emmanuel Procyk. 2008

332 citations recorded by the source corpus.

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In Cognitive Neuroscience

Citations in the corpus

Surprise signals in anterior cingulate cortex: Neuronal encoding of unsigned reward prediction errors driving adjustment in behavior (2011, background): “The dorsal anterior cingulate cortex (dACC) is a primary target of dopamine neurons (Paus, 2001), tracks reward outcomes of choices (Procyk et al., 2000; Shidara and Richmond, 2002; Williams et al., 2004; Amiez et al., 2006; Quilodran et al., 2008), and is involved in action and outcome monitoring (”
The Neurobiology of Decision: Consensus and Controversy (2009, unknown): “Some of the most recently identified and interesting electrophysiological signals have been found in dorsal anterior cingulate (Hayden et al., 2009; Matsumoto et al., 2007; Quilodran et al., 2008; Seo and Lee, 2007, 2009) and the posterior cingulate (Hayden et al., 2008; McCoy and Platt, 2005).”
Connectivity-Based Parcellation of Human Cingulate Cortex and Its Relation to Functional Specialization (2009, unknown): “The same region is thus responsive to both error and reward feedback, as long as the feedback means that the expected value of an action is to be updated, both in humans and monkeys (Walton et al., 2004; Matsumoto et al., 2007; Sallet et al., 2007; Quilodran et al., 2008).”
Abstract context representations in primate amygdala and prefrontal cortex (2015, background): “…mode corresponding to the current context in which licking reflected the reinforcement contingencies of both CSs. Exploration has been described previously as resulting from switches in the rule linking cues and reward (Quilodran et al., 2008) or cues and operant responses (Fusi et al., 2007).”
The foraging brain (2015, background): “The dorsal anterior cingulate cortex (dACC) has been a focus of studies of the neural basis of foraging because it is a central node in the decision-making network — it integrates information from reward and associative regions and generates a control signal that influences selection of actions [31–”
Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model (2011, methodology): “We have previously characterized the functional neurophysiology of the prefrontal cortex as playing a central role in the organization of complex cognitive behavior (Amiez et al., 2006; Procyk and Goldman-Rakic, 2006; Quilodran et al., 2008).”
The expected value of control: An integrative theory of anterior cingulate cortex function (2013, unknown): “…(LFPs) in both the dACC and lPFC of macaques, Rothé and colleagues (2011) showed that transient increases in the high-gamma LFP within dACC signaled salient events (errors and first correct feedback; see also Quilodran et al., 2008), that were followed shortly by more sustained responses in lPFC.”