Free choice activates a decision circuit between frontal and parietal cortex

By Bijan Pesaran, M. Nelson, Richard A. Andersen. Nature, 2008

465 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/95260b4a55093dfb831c708930e007e87f5dff8d

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In Cognitive Neuroscience

Citations in the corpus

Cortical areas interact through a communication subspace (2019, unknown): “These fluctuations involve spiking activity that could propagate between areas, and thus provides a useful window for understanding inter-areal interactions (Fries et al., 2001; Pesaran et al., 2008; Bosman et al., 2012; Saalmann et al., 2012; Salazar et al., 2012).”
Spectral fingerprints of large-scale neuronal interactions (2012, background): “Frontal–parietal beta-band oscillations also seem to be instrumental for decisions that are not directly instructed by external stimul”
Intention, action planning, and decision making in parietal-frontal circuits. (2009, background): “The primary motor cortex (M1) is a source of motor commands (Penfield and Boldrey 1937; Evarts and Thach, 1969), and more anterior regions of the frontal lobe are involved in many higher-level aspects of movement planning and decision making (Miller and Cohen, 2001; Wise, 1985).”
Beta-band oscillations--signalling the status quo? (2010, unknown): “Similarly, a recent study in awake monkeys has shown that endogenously driven choices in a search task are accompanied by higher BBA compared to stimulusinstructed decisions [48 ].”
The pairwise phase consistency: A bias-free measure of rhythmic neuronal synchronization (2010, background): “For every neuron, we computed the spike–LFP phase for every spike by Fast Fourier Transforming an LFP segment of length T samples, X j f ð Þ = X T t = 1 w t ð Þx j t ð Þexp i2πft ð Þ: ð28Þ Here, w(t) is a Hanning window, x j (t) is the unfiltered LFP segment that is centered around the spike, f is t”
Human volition: towards a neuroscience of will (2008, background): “First, routine processing of stimuli can fail to generate sufficient information to determine a response — for example, when selecting between two alternative actions in response to an ambiguous stimulu”
Decision making in recurrent neuronal circuits. (2008, background): “One promising approach to this outstanding issue is to examine interareal interactions by recording simultaneously single units and local field potentials from two or more areas in behaving animals (Pesaran et al., 2008).”
Human Reinforcement Learning Subdivides Structured Action Spaces by Learning Effector-Specific Values (2009, background): “…reported here are consistent with a wide range of neuroimaging and single-unit studies that have implicated parietal cortex in value-based learning and decision making (Platt and Glimcher, 1999; Coe et al., 2002; O’Doherty et al., 2003; Sugrue et al., 2004; Daw et al., 2006a; Pesaran et al., 2008).”
Neural mechanisms for interacting with a world full of action choices. (2010, background): “It is as if, at least in that kind of task, a decision may be influenced by noisy neural votes arriving from the PFC but is determined by a consensus that is reached in a frontoparietal network that includes the PMd (Pesaran et al. 2008).”
Oscillatory synchronization in large-scale cortical networks predicts perception. (2011, unknown): “…reveal task-specific synchronization between pairs of focal cortical sites (Buschman and Miller, 2007; Gregoriou et al., 2009; Maier et al., 2008; Pesaran et al., 2008; Roelfsema et al., 1997; Saalmann et al., 2007; von Stein et al., 2000), but require the preselection of recording sites and…”
An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias (2011, unknown): “General rights”
Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? (2013, background): “When monkeys are free to choose the target, the MIP and PMd show increased spike-field coherence, suggesting direct communication between these brain areas [134].”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “, & Petersen, C. C. (2006). Visualizing the cortical representation of whisker touch: voltage-sensitive dye imaging in freely moving mice.”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “In a third experiment, subjects performed a reach movement either freely or according to an instructed cue, and spikefield coherence at 15 Hz was enhanced between a parietal (“reach”) area and a frontal (premotor) area in free choices compared with forced choices (760).”
Distinct neural oscillations predict individual differences in feedback-guided cognitive flexibility (2026, unknown): “Importantly, cognitive flexibility and decision making under uncertainty is dependent on the efficient routing of information across the PFC-parietal-ACC decision circuit with sensory-motor regions ( Pesaran et al. 2008; Womelsdorf et al. 2010).”