Flexible Control of Mutual Inhibition: A Neural Model of Two-Interval Discrimination

By Christian K. Machens, Ranulfo Romo, Carlos D. Brody. Science, 2005

548 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/f3eb732800dd680fe1604e44f3c63b4e6ffab939

How researchers see this paper

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

In Artificial Intelligence

In Cognitive Neuroscience

Citations in the corpus

A Recurrent Network Mechanism of Time Integration in Perceptual Decisions (2006, methodology): “The same conclusion was reached by Machens et al. (2005), in a modeling work concerned with a delayed somatosensory discrimination experiment (Romo et al., 1999).”
Probabilistic population codes for Bayesian decision making (2008, methodology): “Our probabilistic framework also helps to clarify the benefits and limitations of using point attractor (Machens et al., 2005; Wang, 2002; Wong and Wang, 2006) or line attractor dynamics (Furman and Wang, 2008) for accumulation of evidence in decision making.”
Symbols and quantities in parietal cortex: elements of a mathematical theory of number representation and manipulation (2007, background): “Wong and Wang (2006) have presented a realistic neuronal model of this process (see also Usher and McClelland, 2001; Machens et al., 2005).”
Neurons in the Frontal Lobe Encode the Value of Multiple Decision Variables (2009, background): “The reason for this bidirectional information encoding scheme is unknown, but is evident in multiple frontal areas during perceptual and reward-related discriminations (Seo & Lee, 2007; Machens, Romo, & Brody, 2005 ).”
Dynamic Coding for Cognitive Control in Prefrontal Cortex (2013, background): “This distinct neurophysiological state could then shape a trajectory through state space that effectively maps distinct stimuli to the appropriate decision value according to context (Jun et al., 2010; Machens et al., 2005).”
Decision making in recurrent neuronal circuits. (2008, background): “Reproduced with permission from Machens et al. (2005).”
Demixed principal component analysis of neural population data (2014, unknown): “…the major findings previously obtained with these data: the persistence of the F1 tuning during the delay period (component #5; Romo et al., 1999; Machens et al., 2005), the temporal dynamics of short-term memory (components ##5, 10, 13; Brody et al., 2003; Machens et al., 2010; Barak et al.,…”