Connectionist mechanisms for cognitive control

An understanding of cognitive control is crucial for understanding high-level cognition and delineating the functional role of prefrontal cortex in supporting complex cognitive operations. In this paper, we approach the problem of cognitive control by examining the control needs of SHRUTI, a neurally plausible and cognitively motivated model of inference and decision-making. It is shown that processing via spreading activation has a number of limitations with respect to inference and decision-making, and specific forms of controlled processing is required to overcome these limitations. We propose a set of primitive, neurally plausible control mechanisms, including monitoring, filtering, selection, maintenance, organization, and manipulation, describe connectionist implementations of these primitive mechanisms, and demonstrate the use of several of these primitives in a complex control process.

[1]  L. Shastri,et al.  From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings using temporal synchrony , 1993, Behavioral and Brain Sciences.

[2]  Walter Schneider.  Models of Working Memory: Working Memory in a Multilevel Hybrid Connectionist Control Architecture (CAP2) , 1999 .

[3]  A. Baddeley,et al.  Dual-task performance in dysexecutive and nondysexecutive patients with a frontal lesion. , 1997, Neuropsychology.

[4]  Carter Wendelken.  The role of mid-dorsolateral prefrontal cortex in working memory: a connectionist model , 2002, Neurocomputing.

[5]  J. Duncan,et al.  Common regions of the human frontal lobe recruited by diverse cognitive demands , 2000, Trends in Neurosciences.

[6]  J. Jonides,et al.  The mind's eye, looking inward? In search of executive control in internal attention shifting. , 2003, Psychophysiology.

[7]  Jordan Grafman,et al.  Handbook of Neuropsychology , 1991 .

[8]  Lokendra Shastri,et al.  Combining belief and utility in a structured connectionist agent architecture , 2019, Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society.

[9]  Costanza Papagno,et al.  Dual-task performance in dysexecutive and nondysexecutive patients with a frontal lesion. , 1997 .

[10]  Lokendra Shastri,et al.  Shruti-agent: a structured connectionist architecture for reasoning and decision-making , 2003 .

[11]  Jonathan D. Cohen,et al.  A Biologically Based Computational Model of Working Memory , 1999 .

[12]  S. Grossberg,et al.  Pattern formation, contrast control, and oscillations in the short term memory of shunting on-center off-surround networks , 1975, Biological Cybernetics.

[13]  A. Miyake,et al.  Models of Working Memory , 1997 .

[14]  M. Botvinick,et al.  Anterior cingulate cortex, error detection, and the online monitoring of performance. , 1998, Science.

[15]  Shintaro Funahashi,et al.  Neuronal mechanisms of executive control by the prefrontal cortex , 2001, Neuroscience Research.

[16]  P. Goldman-Rakic.  Cellular basis of working memory , 1995, Neuron.

[17]  D. Schacter,et al.  Prefrontal Contributions to Executive Control: fMRI Evidence for Functional Distinctions within Lateral Prefrontal Cortex , 2001, NeuroImage.

[18]  Lokendra Shastri,et al.  Advances in SHRUTI—A Neurally Motivated Model of Relational Knowledge Representation and Rapid Inference Using Temporal Synchrony , 1999, Applied Intelligence.