The neuronal dynamics underlying cognitive flexibility in set shifting tasks

Journal of Computational Neuroscience

Volumn 23, Issue 3, 2007, Pages 313-331

  Stemme, Anja ^a   Deco, Gustavo ^b   Busch, Astrid ^a  

^a UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Cognitive flexibility; Neurodynamical model; PFC; Set shifting task; Visual attention; Wisconsin Card Sorting Test; Working memory

Indexed keywords

BEHAVIORAL RESEARCH;

CARD-SORTING; COGNITIVE FLEXIBILITY; NEURODYNAMICAL MODEL; NEURONAL DYNAMICS; PFC; SET SHIFTING TASK; VISUAL ATTENTION; WISCONSIN; WISCONSIN CARD SORTING TEST; WORKING MEMORY;

NEURONS;

ARTICLE; ATTENTION; BEHAVIOR; BIOPHYSICS; COGNITION; CONTROLLED STUDY; HUMAN; HUMAN EXPERIMENT; LEARNING; NEUROBIOLOGY; NORMAL HUMAN; PRIORITY JOURNAL; PROBABILITY; RESPONSE TIME; SIMULATION; TASK PERFORMANCE; VISUAL STIMULATION; WISCONSIN CARD SORTING TEST; WORKING MEMORY;

EID: 34547490074     PISSN: 09295313     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10827-007-0034-x     Document Type: Article

References (38)

1. Abeles, A. (1991). Corticonics. New York: Cambridge University Press.
2. Almeida, R., Deco, G., & Stetter, M. (2004). Modular biased-competition and cooperation: A candidate mechanism for selective working memory. European Journal of Neuroscience, 20, 2789-2803.
3. Amos, A. (2000). A computational model of information and processing in the frontal cortex and basal ganglia. Journal of Cognitive Neuroscience, 12, 505-519.
4. Barceló, F., & Knight, R. T. (2002). Both random and perseverative errors underlie wcst deficits in prefrontal patients. Neuropsychologia, 40, 349-356.
5. Berdia, S., & Metz, J. (1998). An artificial neural network stimulating performance of normal subjects and schizophrenics on the Wisconsin card sorting test. Artificial Intelligence in Medicine, 13, 123-138.
6. Brunel, N., & Wang, X.-J. (2001). Effects of neuromodulation in a cortical network model of object working memory dominated by recurrent inhibition. Journal of Computational Neuroscience, 11 (1), 63-85.
7. Chen, N.-H., White, I. M., & Wise, S. P. (2001). Neuronal activity in dorsomedial frontal cortex and prefrontal cortex reflecting irrelevant stimulus dimensions. Experimental Brain Research, 139, 116-119.
8. Corchs, S., & Deco, G. (2002). Large-scale neural model for visual attention: Integration of experimental single-cell and fMRI data. Cerebral Cortex, 12 (4), 339-348.
9. Deco, G., & Rolls, E.T. (2003). Attention and working memory: A dynamical model of neural activity in the prefrontal cortex. European Journal of Neuroscience, 18, 2374-2390.
10. Deco, G., & Rolls, E.T. (2005). Synaptic and spiking dynamics underlying reward reversal in the orbitofrontal cortex. Cerebral Cortex, 15 (1), 15-30.
11. Deco, G., Rolls, E.T., & Horwitz, B. (2004). What and where in visual working memory: A computational neurodynamical perspective for integrating fMRI and single-neuron data. Journal of Cognitive Neuroscience, 16, 683-701.
12. Dehaene, S., & Changeux, J. (1991). The Wisconsin Card Sorting Test: Theoretical analysis and modeling in a neuronal network. Cerebral Cortex, 1 (1), 62-79.
13. Durstewitz, D., & Seamans, J.K. (2002). The computational role of dopamine d1 receptors in working memory. Neural Networks, 15, 561-572.
14. Egner, T., & Hirsch, J. (2005). Cognitive control mechanisms resolve conflict through cortical amplification of task-relevant information. Nature Neuroscience, 12, 1784-1790.
15. Everett, J., Lavoie, K., Gagnon, J.-F., & Gosselin, N. (2001). Performance of patients with schizophrenia on the Wisconsin Card Sorting Test (WCST). Journal of Psychiatry & Neuroscience 26 (2), 123-130.
16. Gilbert, S.J., & Shallice, T. (2002). Task switching: A PDP model. Cognitive Psychology, 44, 297-337.
17. Goldstein, G., Beers, S.R., & Shemansky, W.J. (1996). Neuropsychological differences between schizophrenic patients with heterogenous Wisconsin Card Sorting Test Performance. Schizophrenia Research, 21, 13-18.
18. Hodgkin, A., & Huxley, A. (1952). A quantitative description of membrane current and its application to conduction and excitation in nerve. Journal of Physiology (London), 117, 500-544.
19. Kolb, B., & Wishaw, I. Q. (1983). Performance of schiziophrenic patients on tests sensitive to left or right frontal, temporal, or parietal function in neurological patients. The Journal of Nervous and Mental Disease, 171 (7), 435-443.
20. Konishi, S., Kawazu, M., Uchida, I., Kikyo, H., Asakura, I., & Miyashita, Y. (1999). Contribution of working memory to transient activation in human inferior prefrontal cortex during performance of the Wisconsin Card Sorting Test. Cerebral Cortex, 9 (7), 745-753.
21. Landro, N.I., Pape-Ellefsen, E., Hagland, K.O., & Odland, T. (2001). Memory deficits in young schizophrenics with normal intellectual function. Scandinavian Journal of Psychology, 42, 459-466.
22. Meunier, C., & Segev, I. (2002). Playing the Devil's advocate: Is the Hodgkin Huxley model useful? Trends in Neuroscience, 25, 558-563.
23. Miller, E.K., & Cohen, J.D. (2001). An integrative theory of prefrontal cortex function. Annual Review of Neuroscience, 24, 167-202.
24. Milner, B. (1963). Effects of different brain lesions on card sorting. Archives of Neurology, 9, 90-100.
25. Monsell, S. (2003). Task switching. Trends in Cognitive Science, 7, 134-140.
26. Nakahara, K., Hayashi, T., Konishi, S., & Miyashita, Y. (2002). Functional MRI of macaque monkeys performing a cognitive set-shifting task. Science, 295 (5559), 1532-1536.
27. Owen, A., Roberts, A., Hodges, J., Summers, B., Polkey, C., & Robbins, T. (1993). Contrasting mechanisms of impaired attentional set-shifting in patients with frontal lobe damage or Parkinson's disease. Brain, 116 (5), 1159-1175.
28. Rainer, G., & Miller, E.K. (2002). Timecourse of object-related neural activity in the primate prefrontal cortex during a short-term memory task. European Journal of Neuroscience, 15 (7), 1244-1244.
29. Rougier, N. P., Noelle, D.C., Braver, T.S., Cohen, J.D., & O'Reilly, R.C. (2005). Prefrontal cortex and flexible cognitive control: Rules without symbols. In Proceedings of the National Academy of Sciences of the United States of America, 102, 7338-7343.
30. Rougier, N.P., & O'Reilly, R.C. (2002). Learning representations in a gated prefrontal cortex model of dynamic task switching. Cognitive Science, 26, 503-520.
31. Stemme, A. (2007). Neuronal principles underlying cognitive flexibility-a biophysical model for set shifting tasks. Ph.D. thesis, Technical University Munich. Norderstedt, Germany, BooksOnDemand.
32. Stemme, A., Deco, G., Busch, A., & Schneider, W. X. (2005). Neurons and the synaptic basis of the fMRI signal associated with cognitive flexibility. NeuroImage, 26/2, 454-470.
33. Stroop, J.R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18, 643-662.
34. Tuckwell, H.C. (1988). Introduction to theoretical neurobiology I: Linear cable theory and dendritic structure. Cambridge: Cambridge University Press.
35. Wallis, J.D., Anderson, K.C., & Miller, E.K. (2001). Single neurons in prefrontal cortex encode abstract rules. Nature, 411.
36. White, I.M., & Wise, S.P. (1999). Research article: Rule-dependent neuronal activity in the prefrontal cortex. Experimental Brain Research, 126 (3), 315-335.
37. Wilson, F., Scalaidhe, S., & P.S., G.-R. (1994). Functional synergism between putative-aminobutyrate-containing neurons and pyramidal neurons in prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America, 91, 4009-4013.
38. Wong, K.F., & Wang, X. J. (2006). A recurrent network mechanism of time integration in perceptual decisions. The Journal of Neuroscience, 26 (4), 1314-1328.