Modeling functions of striatal dopamine modulation in learning and planning.
By Suri R E, Bargas J, Arbib M A. 2001
98 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology
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
- Andrea Soltoggio
- Kenneth O. Stanley
- Sebastian Risi
- Yael Niv
- Peter Dürr
- Dario Floreano
- Claudio Mattiussi
- Michael J Frank
In Cognitive Neuroscience
- Michael J Frank
- Andrea Soltoggio
- Matthew Botvinick
- Kenneth O. Stanley
- Yael Niv
- Sebastian Risi
- Peter S. Dayan
- Randall C. O’Reilly
In Molecular Biology
- Andrea Soltoggio
- Yael Niv
- Kenneth O. Stanley
- Sebastian Risi
- Peter Dürr
- Michael J Frank
- Dario Floreano
- Claudio Mattiussi
Citations in the corpus
- Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “Such a modulation of signals, or gated learning (Abbott, 1990), allows for the regulation and learning of behaviors as shown in numerous computational models (Baxter et al., 1999; Suri et al., 2001; Birmingham, 2001; Alexander and Sporns, 2002; Doya, 2002; Fujii et al., 2002; Suri, 2002; Ziemke and ”
- Evolutionary and Computational Advantages of Neuromodulated Plasticity (2008, background): “The function of dopamine has been further modelled in the striatum (Suri et al., 2001), in the prefrontal cortex (Dreher and Burnod, 2002) and in basal ganglia (Gruber et al.”
- Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2007, background): “The apparently predictive nature of the DA firing has most often been explained in terms of the temporal differences (TD) reinforcement learning mechanism (Sutton 1988; Houk et al. 1995; Schultz et al. 1995; Montague et al. 1996; Sutton & Barto 1998; Contreras-Vidal & Schultz 1999; Suri et al. 2001;”
- Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia (2006, background): “The apparently predictive nature of the DA firing has almost universally been explained in terms of the temporal differences (TD) reinforcement learning mechanism (Sutton, 1988; Sutton & Barto, 1998; Schultz et al., 1995; Houk et al., 1995; Montague, Dayan, & Sejnowski, 1996; Suri et al., 2001; Cont”
- Computational models of basal-ganglia pathway functions: focus on functional neuroanatomy (2013, background): “Suri et al. (2001) proposed that the long indirect pathway globally inhibits cortical representations to such an extent that only strong activations of specific desired representations via the direct pathway result in cortical activity, while weak activations will be suppressed (Suri et al., 2001).”
- TD models of reward predictive responses in dopamine neurons (2002, methodology): “Since positive initial weights serve as a novelty bonus in TD algorithms and are used to stimulate exploration (Sutton & Barto, 1998), dopamine novelty responses may influence saccadic eye movements and other orienting responses to salient stimuli by rapid effects of dopamine neuron activity on targ”
- The neural basis of human error processing: reinforcement learning, dopamine, and the error-related negativity. (2002, methodology): “…simulations (e.g., Barto, 1995; J. Brown et al., 1999; Friston et al., 1994; Houk et al., 1995; Montague et al., 1996; Schultz et al., 1997; Suri et al., 2001; Suri & Schultz, 1998, 1999, 2001), the adaptive critic was implemented within the basal ganglia, and the TD error was carried by…”
- Actor-critic models of the basal ganglia: new anatomical and computational perspectives (2002, methodology): “Such a mechanism could provide another intra-striatal mechanism that controls exploration, in addition to those suggested by Suri et al. (2001).”
- Hierarchically organized behavior and its neural foundations: A reinforcement-learning perspective (2008, unknown): “2A (see, e.g., Barto, Sutton, & Anderson, 1983; Houk et al., 1995; Joel et al., 2002; Suri, Bargas, & Arbib, 2001).”
- Unstable or Insufficiently Activated Internal Models and Feedback-Biased Motor Control as Sources of Dysfluency: A Theoretical Model of Stuttering (2004, unknown): “, 2002; Suri, Bargas, & Arbib, 2001) and sensorimotor integration and learning (Fattapposta et al., 2000; Fattapposta et al., 2002, Huda, Salunga, & Matsunami, 2001; Suri et al., 2001).”
- Evolving neuromodulatory topologies for reinforcement learning-like problems (2007, methodology): “Following, an overview of the algorithm is given.”