Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

By Randall C. O’Reilly, Michael J Frank, Michael J Frank. 2006

1,071 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neuroscience, Cognitive Science & Psychology

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Citations in the corpus

Deep learning in neural networks: An overview (2014, background): “To a certain extent, LSTM is biologically plausible (O’Reilly, 2003).”
PathNet: Evolution Channels Gradient Descent in Super Neural Networks (2017, methodology): “The operations of PathNet resemble those of the Basal Ganglia, which we propose determines which subsets of the cortex are to be active and trainable as a function of goal/sub-goal signals from the prefrontal cortex, a hypothesis related to others in the literature [8] [14] [6].”
Simple Substrates for Complex Cognition (2008, background): “This computational challenge, and the resulting possibility of error, provides a spur towards automatization and the learning and acquisition of habitual competence.”
Neural networks and neuroscience-inspired computer vision. (2014, positive): “Even more promising, early work on LSTMs is already feeding back onto neuroscience, having spawned several theories about neural structures responsible for sequence learning involving prefrontal cortex and the basal ganglia [95,96].”
A Computational Model of Basal Ganglia and its Role in Memory Retrieval in Rewarded Visual Memory Tasks (2009, neutral): “Similarly to our approach, the model of O’Reilly and Frank (2006) uses the BG as a gating device for specific thalamocortical loops.”
Multilevel structure in behaviour and in the brain: a model of Fuster's hierarchy (2007, background): “The question of how this problem is solved in the brain is a topic of active research (O’Reilly & Frank 2006; Hazy et al. 2006), and as answers take shape it will be interesting to investigate whether the relevant algorithms give rise to the same relationship between hierarchical connectivity and…”
Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system (2007, background): “The virtues of this general approach have been forcefully argued by Newell (1990) .”