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OReilly RC, Munakata Y (2000) Computational explorations in cognitive neuroscience: understanding the mind by simulating the brain

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Ferrante M, Migliore M, Ascoli GA (2009) Feed-forward inhibition as a buffer of the neuronal input-output relation. Proc Natl Acad Sci U S A 106:18004-9 [Journal] [PubMed]

   Dentate Gyrus Feed-forward inhibition (Ferrante et al. 2009) [Model]

Frank MJ (2005) Dynamic dopamine modulation in the basal ganglia: a neurocomputational account of cognitive deficits in medicated and nonmedicated Parkinsonism. J Cogn Neurosci 17:51-72 [Journal] [PubMed]

   Dynamic dopamine modulation in the basal ganglia: Learning in Parkinson (Frank et al 2004,2005) [Model]

Frank MJ (2006) Hold your horses: a dynamic computational role for the subthalamic nucleus in decision making. Neural Netw 19:1120-36 [Journal] [PubMed]

   Roles of subthalamic nucleus and DBS in reinforcement conflict-based decision making (Frank 2006) [Model]

Frank MJ, Scheres A, Sherman SJ (2007) Understanding decision-making deficits in neurological conditions: insights from models of natural action selection. Philos Trans R Soc Lond B Biol Sci 362:1641-54 [Journal] [PubMed]

Hazy TE, Frank MJ, O'reilly RC (2007) Towards an executive without a homunculus: computational models of the prefrontal cortex/basal ganglia system. Philos Trans R Soc Lond B Biol Sci 362:1601-13 [Journal] [PubMed]

Norman KA, Newman E, Detre G, Polyn S (2006) How inhibitory oscillations can train neural networks and punish competitors. Neural Comput 18:1577-610 [Journal] [PubMed]

O'Reilly RC, Frank MJ (2005) Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia Neural Comput 18:283-328

O'Reilly RC, Frank MJ (2006) Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia. Neural Comput 18:283-328 [Journal] [PubMed]

Wang H, Fan J (2007) Human attentional networks: a connectionist model. J Cogn Neurosci 19:1678-89 [Journal] [PubMed]

   Human Attentional Networks: A Connectionist Model (Wang and Fan 2007) [Model]

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