Information processing, dimensionality reduction and reinforcement learning in the basal ganglia.
By Izhar Bar-Gad, Genela Morris, Hagai Bergman. Progress in neurobiology, 2003
411 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology
View Paper: https://www.semanticscholar.org/paper/deb088f5f873717cacb884ed3390dae41d180f0d
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
- Ann M. Graybiel
- Peter Brown
- Fred Henrik Hamker
- Julien Vitay
- Gianluca Baldassarre
- Francesco Mannella
- Andrew D. Lawrence
- Marco Mirolli
In Cognitive Neuroscience
- Gianluca Baldassarre
- Marco Mirolli
- Francesco Mannella
- Fred Henrik Hamker
- Julien Vitay
- Earl K. Miller
- Peter Brown
- Andrew D. Lawrence
In Neurology
- Peter Brown
- Fred Henrik Hamker
- Julien Vitay
- Gianluca Baldassarre
- Francesco Mannella
- Ann M. Graybiel
- Marco Mirolli
- Hagai Bergman
Citations in the corpus
- Pathological synchronization in Parkinson's disease: networks, models and treatments. (2007, background): “Indeed, some theoretical models have suggested that the computational goal of the basal ganglia networks is to maximize the representationofthecorticalinformationbyusingdecorrelationmechanisms controlled by dopamine reinforcement signals [ 45 ].”
- Oscillations in the Basal Ganglia: The good, the bad, and the unexpected (2005, background): “Instead, the primate data suggest a more complex model in which dopamine depletion leads to the loss of some specific function of the BG yet to be determined, whether related to pure motor control (Mink, 1996) or information processing (Bar-Gad et al., 2003).”
- Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning (2012, background): “However, works dealing with feature discovery [11], variable selection [14, 9, 7] or dimensionality reduction in RL [4] can indeed be considered as first steps towards interpretable solutions.”
- Convergent evidence for abnormal striatal synaptic plasticity in dystonia (2009, neutral): “…(DBS) treatment of dystonia, (4) the basal ganglia play a prominent role in procedural and sensorimotor learning (Adamovich et al., 2001; Bar-Gad et al., 2003; Barnes et al., 2005; Berns and Sejnowski, 1998; Frank et al., 2004; Graybiel, 2008; Horvitz, 2009; Krebs et al., 2001; Kreitzer…”
- A Computational Model of Basal Ganglia and its Role in Memory Retrieval in Rewarded Visual Memory Tasks (2009, positive): “Similarly, projections from striatum to GPi and SNr also have a sparse connectivity (Bar-Gad et al., 2003), although some GPi cells have been shown to receive input from functionally different striatal regions (Flaherty and Graybiel, 1994).”
- Different time courses of learning-related activity in the prefrontal cortex and striatum (2005, background): “Another hypothesis, not necessarily incompatible with the one above, suggests a dominant role for the basal ganglia in new learnin”
- The roles of the amygdala in the affective regulation of body, brain, and behaviour (2010, background): “R associations acquired through instrumental conditioning are stored (Barto 1995; Bar-Gad, Morris, and Bergman 2003; Yin and Knowlton 2006), whereas Amg represents the main neural substrate where the associations acquired through Pavlovian conditioning are stored (Baxter and Murray 2002; Cardinal,…”
- Selection of cortical dynamics for motor behaviour by the basal ganglia (2015, background): “Various computational approaches have been attempted to explain these loops as implementing motor sequence processing (Beiser and Houk 1998; Berns and Sejnowski 1998), or dimensionality reduction (Bar-Gad et al. 2003).”
- The somatic marker hypothesis: a critical evaluation. (2006, background): “For example, Bar-Gad et al. (2003) propose a model of how the basal ganglia compresses cortical information, effectively acting as a central dimensionality reduction system which is modulated by a reinforcement signal.”