Persistent storage capability impairs decision making in a biophysical network model

Neural Networks

Volumn 24, Issue 10, 2011, Pages 1062-1073

  Standage, Dominic ^a   Paré, Martin ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

Decision making; Lateral intraparietal area; Network model; NMDA receptor; Persistent mnemonic activity; Posterior parietal cortex; Working memory

Indexed keywords

LATERAL INTRAPARIETAL AREA; NETWORK MODEL; NMDA RECEPTOR; PERSISTENT MNEMONIC ACTIVITY; POSTERIOR PARIETAL CORTICES; WORKING MEMORIES;

COMPUTER SIMULATION; DECISION THEORY; DYNAMICS;

DECISION MAKING;

N METHYL DEXTRO ASPARTIC ACID RECEPTOR;

ARTICLE; BIOPHYSICS; BRAIN FUNCTION; CELL STRUCTURE; DECISION MAKING; INTERNEURON; MEMORY; MENTAL TASK; NERVE CELL NETWORK; NERVE CONDUCTION; PRIORITY JOURNAL; PYRAMIDAL NERVE CELL; SIMULATION; SYNAPSE; TASK PERFORMANCE; VISUAL DISCRIMINATION;

ANIMALS; CEREBRAL CORTEX; COMPUTER SIMULATION; DECISION MAKING; HUMANS; MEMORY; NERVE NET; NEURAL NETWORKS (COMPUTER);

EID: 80054776966     PISSN: 08936080     EISSN: 18792782     Source Type: Journal    
DOI: 10.1016/j.neunet.2011.05.004     Document Type: Article

References (97)

1. Abeles M. Corticonics: neural circuits of the cerebral cortex 1991, Cambridge University Press, Cambridge, UK.
2. Amari S. Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics 1977, 27:77-87.
3. Ardid S., Wang X.-J., Compte A. An integrated microcircuit model of attentional processing in the neocortex. Journal of Neurological Sciences 2007, 27:8486-8495.
4. Aura J., Riekkinen P.J. Blockade of NMDA receptors located at the dorsomedial prefrontal cortex impairs spatial working memory in rats. Neuroreport 1999, 10:243-248.
5. Babiloni C., Babiloni F., Carducci F., Cincotti F., Vecchio F., Cola B., Rossi S., Miniussi C., Rossini P.M. Functional frontoparietal connectivity during short-term memory as revealed by high-resolution EEG coherence analysis. Behavioral Neuroscience 2004, 118:687-697.
6. Barak O., Tsodkys M., Romo R. Neural population coding of parametric working memory. Journal of Neurological Sciences 2010, 30:9424-9430.
7. Beck J.M., Ma W.J., Kiani R., Hanks T., Churchland A.K., Roitman J., Shadlen M.N., Latham P.E., Pouget A. Probabilistic population codes for Bayesian decision making. Neuron 2008, 60:1142-1152.
8. Bogacz R., Brown E., Moehlis J., Holmes P., Cohen J.D. The physics or optimal decision making: a formal analysis of models of performance in two-alternative forced-choice tasks. Psychological Review 2006, 113:700-765.
9. Bogacz R. Optimal decision-making theories: linking neurobiology with behaviour. Trends in Cognitive Science 2007, 11:118-125.
10. Brody C.D., Romo R., Kepecs A. Basic mechanisms for graded persistent activity: discrete attractors, continuous attractors, and dynamic representations. Current Opinion in Neurobiology 2003, 13:204-211.
11. Bruce C.J., Goldberg M.E. Primate frontal eye fields. I. Single neurons discharging before saccades. Journal of Neurophysiology 1985, 53:603-635.
12. Camperi M., Wang X.-J. A model of visuospatial working memory in prefrontal cortex: recurrent network and cellular bistability. Journal of Computational Neuroscience 1998, 5:383-405.
13. Chafee M.V., Goldman-Rakic P.S. Matching patterns of activity in primate prefrontal area 8a and parietal area 7ip neurons during a spatial working memory task. Journal of Neurophysiology 1998, 79:2918-2940.
14. Chafee M.V., Goldman-Rakic P.S. Inactivation of parietal and prefrontal cortex reveals interdependence of neural activity during memory-guided saccades. Journal of Neurophysiology 2000, 83:1550-1566.
15. Churchland A.K., Kiani R., Shadlen M.N. Decision-making with multiple alternatives. Nature Neuroscience 2008, 11:693-702.
16. Cisek P. Integrated neural processes for defining potential actions and deciding between them: a computational model. Journal of Neurological Sciences 2006, 26:9761-9770.
17. Cohen J.Y., Pouget P., Woodman G.F., Subraveti C.R., Schall J.D., Rossi A.F. Difficulty of visual search modulates neuronal interactions and response variability in the frontal eye field. Journal of Neurophysiology 2007, 98:2580-2587.
18. Compte A., Brunel N., Goldman-Rakic P.S., Wang X.-J. Synaptic mechanisms and network dynamics underlying spatial working memory in a cortical network model. Cerebral Cortex 2000, 10:910-923.
19. Constantinidis C., Wang X.-J. A neural circuit basis for spatial working memory. The Neuroscientist 2004, 10:553-565.
20. Cowan N. The magical number 4 in short-term memory: a reconsideration of mental storage capacity. Behavioral and Brain Sciences 2001, 24:87-185.
21. Cull-Candy S.G., Brickley S., Farrant M. NMDA receptor subunits: diversity, development and disease. Current Opinion in Neurobiology 2001, 11:327-335.
22. Cull-Candy S.G., Leszkiewicz D.N. Role of distinct NMDA receptor subtypes at central synapses. Science STKE 2004, 2004:re16.
23. Curtis C.E., Rao V.Y., D'Esposito M. Maintenance of spatial and motor codes during oculomotor delayed response tasks. Journal of Neurological Sciences 2004, 24:3944-3952.
24. Desimone R., Duncan J. Neural mechanisms of selective visual attention. Annual Review of Neuroscience 1995, 18:193-222.
25. Destexhe A., Paré D. Impact of network activity on the integrative properties of neocortical pyramidal neurons in vivo. Journal of Neurophysiology 1999, 81:1531-1547.
26. Douglas R.J., Martin K.A.C. Neuronal circuits of the neocortex. Annual Review of Neuroscience 2004, 27:419-451.
27. Douglas R.J., Martin K.A.C. Recurrent neuronal circuits in the neocortex. Current Biology 2007, 17:R496-R500.
28. Dudkin K.N., Kruchinin V.K., Chueva I.V. Effect of NMDA on the activity of cortical glutaminergic structures in delayed visual differentiation in monkeys. Neuroscience and Behavioral Physiology 1997, 27:153-158.
29. Durstewitz D., Seamans J.K., Sejnowski T.J. Neurocomputational models of working memory. Nature Neuroscience 2000, 3:1184-1191.
30. Durstewitz D., Seamans J.K. Beyond bistability: biophysics and temporal dynamics of working memory. Neuroscience 2006, 139:119-133.
31. Edin F., Klingberg T., Johansson P., McNab F., Tegnér J., Compte A. Mechanism for top-down control of working memory capacity. Proceedings of the National Academy of Sciences USA 2009, 106:6802-6807.
32. Edin F., Klingberg T., Stodberg T., Tegnér J. Fronto-parietal connection asymmetry regulates working memory distractibility. Journal of Integrative Neuroscience 2007, 6:567-596.
33. Fransén E., Lansner A. Low spiking rates in a population of mutually exciting pyramidal cells. Network: Computation in Neural Systems 1995, 6:271-288.
34. Fransén E. Functional role of entorhinal cortex in working memory processing. Neural Networks 2005, 18:1141-1149.
35. Fransén E., Babak T., Egorov A.V., Hasselmo M.E., Alonso A.A. Mechanism of graded persistent cellular activity of entorhinal cortex layer 5 neurons. Neuron 2006, 49:735-746.
36. Funahashi S., Bruce C.J., Goldman-Rakic P.S. Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex. Journal of Neurophysiology 1989, 61:331-349.
37. Furman M., Wang X.-J. Similarity effect and optimal control of multiple-choice decision making. Neuron 2008, 60:1153-1168.
38. Fuster J. Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory. Journal of Neurophysiology 1973, 36:61-78.
39. Galarreta M., Hestrin S. Frequency-dependent synaptic depression and the balance of excitation and inhibition in the neocortex. Nature Neuroscience 1998, 1:587-594.
40. Gnadt J.W., Andersen R.A. Memory related motor planning activity in posterior parietal cortex of macaque. Experimental Brain Research 1988, 70:216-220.
41. Goldberg M.E., Bisley J.W., Powell K.D., Gottlieb J. Saccades, salience and attention: the role of the lateral intraparietal area in visual behavior. Progress in Brain Research 2006, 155:157-175.
42. Goldman-Rakic P. Cellular basis of working memory. Neuron 1995, 14:477-485.
43. Gonzalez-Burgos G., Kroener S., Zaitsev A.V., Povysheva N.V., Krimer L.S., Barrionuevo G., Lewis D. Functional maturation of excitatory synapses in Layer 3 pyramidal neurons during postnatal development of the primate prefrontal cortex. Cerebral Cortex 2008, 18:626-637.
44. Green D.M., Swets J.A. Signal detection theory and psychophysics 1966, Wiley, New York.
45. Gutkin B.S., Laing C.R., Colby C.L., Chow C.C., Ermentrout G.B. Turning on and off with excitation: the role of spike timing asynchrony and synchrony in sustained neural activity. Journal of Computational Neuroscience 2001, 11:121-134.
46. Hanes D.P., Schall J.D. Neural control of voluntary movement initiation. Science 1996, 274:427-430.
47. Hasegawa R.P., Matsumoto M., Mikami A. Search target selection in monkey prefrontal cortex. Journal of Neurophysiology 2000, 84:1692-1696.
48. Jahr C.E., Stevens C.F. Voltage dependence of nmda-activated macroscopic conductances predicted by single-channel kinetics. Journal of Neurological Sciences 1990, 10:3178-3182.
49. Koch C., Ullman S. Shifts in selective visual attention: towards the underlying neural circuitry. Human Neurobiology 1985, 4:219-227.
50. Kumar S.S., Huguenard J.R. Pathway-specific differences in subunit composition of synaptic NMDA receptors on pyramidal neurons in neocortex. Journal of Neurological Sciences 2003, 23:10074-10083.
51. Lisman J.E., Idiart M.A.P. Storage of 7+-2 short-term memories in oscillatory subcycles. Science 1995, 267:1512-1515.
52. Lisman J., Fellous J., Wang X.-J. A role for NMDA-receptor channels in working memory. Nature Neuroscience 1998, 1:273-275.
53. Luck S.J., Vogel E.K. The capacity of visual working memory for features and conjunctions. Nature 1997, 390:279-281.
54. Ma J.M., Beck J.M., Latham P.E., Pouget A. Bayesian inference with probabilistic population codes. Nature Neuroscience 2006, 9:1432-1438.
55. Machens C.K., Romo R., Brody C.D. Flexible control of mutual inhibition: a neural model of two-interval discrimination. Science 2005, 307:1121-1124.
56. Macoveanu J., Klingberg T., Tegnér J. A biophysical model of multiple-item working memory: a computational and neuroimaging study. Neuroscience 2006, 141:1611-1618.
57. Miller G.A. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychological Review 1956, 63:81-97.
58. McNab F., Klingberg T. Prefrontal cortex and basal ganglia control access to working memory. Nature Neuroscience 2008, 11:103-107.
59. Palmer J., Huk A.C., Shadlen M.N. The effect of stimulus strength on the speed and accuracy of a perceptual decision. Journal of Vision 2005, 5:376-404.
60. Paré M., Hanes D.P. Controlled movement processing: superior colliculus activity associated with countermanded saccades. Journal of Neurological Sciences 2003, 23:6480-6489.
61. Paré M., Wurtz R.H. Monkey posterior parietal cortex neurons antidromically activated from superior colliculus. Journal of Neurophysiology 1997, 78:3493-3497.
62. Paré M., Wurtz R.H. Progression in neuronal processing for saccadic eye movements from parietal cortex area LIP to Superior Colliculus. Journal of Neurophysiology 2001, 85:2545-2562.
63. Pouget A., Dayan P., Zemel R. Information processing with population codes. Nature Reviews Neuroscience 2000, 1:125-132.
64. Prescott S.A., De Koninck Y. Gain control of firing rate by shunting inhibition: roles of synaptic noise and dendritic saturation. Proceedings of the National Academy of Sciences USA 2003, 100:2076-2081.
65. Ratcliff R., Smith P.L. A comparison of sequential sampling models for two-choice reaction time. Psychological Review 2004, 111:333-367.
66. Roitman J.D., Shadlen M.N. Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. Journal of Neurological Sciences 2002, 22:9475-9489.
67. Romo R., Brody C.D., Hernandez A., Lemus L. Neuronal correlates of parametric working memory in the prefrontal cortex. Nature 1999, 399:470-473.
68. Salin P.A., Prince D.A. Spontaneous GABAA receptor-mediated inhibitory currents in adult rat somatosensory cortex. Journal of Neurophysiology 1996, 75:1573-1588.
69. Salinas E., Sejnowski T.J. Gain modulation in the central nervous system: where behavior, neurophysiology, and computation meet. The Neuroscientist 2001, 7:430-440.
70. Schall J.D. Neural basis of deciding, choosing and acting. Nature Reviews Neuroscience 2001, 2:33-42.
71. Schall J.D., Hanes D.P. Neural basis of saccade target selection in frontal eye field during visual search. Nature 1993, 366:467-469.
72. Serences J.T., Yantis S. Selective visual attention and perceptual coherence. Trends in Cognitive Science 2006, 10:38-45.
73. Seung H.S. How the brain keeps the eyes still. Proceedings of the National Academy of Sciences USA 1996, 93:13339-13344.
74. Seung H.S. Continuous attractors and oculomotor control. Neural Networks 1998, 11:1253-1258.
75. Shen K., Kalwarowsky S., Clarence W., Brunamonti E., Paré M. Beneficial effects of the NMDA antagonist Ketamine on decision processes in visual search. Journal of Neurological Sciences 2010, 30:9947-9953.
76. Smith P.L., Ratcliff R. Psychology and neurobiology of simple decisions. Trends in Neuroscience 2004, 27:161-168.
77. Standage D.I., Trappenberg T.P., Klein R.M. Modelling divided visual attention with a winner-take-all network. Neural Networks 2005, 18:620-627.
78. Standage, D., You, H., Wang, D., & Dorris, M. C. (2011). Gain modulation by an urgency signal controls the speed-accuracy trade-off in a network model of a cortical decision circuit. Frontiers in Computational Neuroscience, 5 (7) in press (). doi:10.3389/fncom.2011.00007.
79. Tegnér J., Compte A., Wang X.-J. The dynamical stability of reverberatory neural circuits. Biological Cybernetics 2002, 87:471-481.
80. Thomas N.W.D., Paré M. Temporal processing of saccade targets in parietal cortex area lip during visual search. Journal of Neurophysiology 2007, 97:942-947.
81. Thompson K., Hanes D., Bichot N., Schall J. Perceptual and motor processing stages identified in the activity of macaque frontal eye field. Journal of Neurophysiology 1996, 76:440-455.
82. Trappenberg T.P. Why is our capacity of working memory so large?. Neural Information Processing - Letters and Reviews 2003, 1:97-101.
83. Trappenberg T.P., Dorris M.C., Munoz D.P., Klein R.M. A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus. Journal of Cognitive Neuroscience 2001, 13:256-271.
84. Trappenberg T.P., Standage D.I. Multi-packet regions in stabilized continuous attractor networks. Neurocomputing 2005, 65-66:617-622.
85. Treisman A.M., Gelade G. A feature-integration theory of attention. Cognitive Psychology 1980, 12:97-136.
86. Tuckwell H. Introduction to theoretical neurobiology 1988, Cambridge University Press, Cambridge.
87. Usher M., McClelland J.L. On the time course of perceptual choice: the leaky competing accumulator model. Psychological Review 2001, 108:550-592.
88. Wang X.-J. Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory. Journal of Neurological Sciences 1999, 19:9587-9603.
89. Wang X.-J. Synaptic reverberation underlying mnemonic persistent activity. Trends in Neuroscience 2001, 24:455-463.
90. Wang X.-J. Probabilistic decision making by slow reverberation in cortical circuits. Neuron 2002, 36:955-968.
91. Wang X.-J. Decision making in recurrent neuronal circuits. Neuron 2008, 60:215-234.
92. Wang H., Stradtman G.G., Wang X.-J, Gao W.-J. A specialized NMDA receptor function in layer 5 recurrent microcircuitry of the adult rat prefrontal cortex. Proceedings of the National Academy of Sciences USA 2008, 105:16791-16796.
93. White E.L. Cortical circuits: synaptic organization of the cerebral cortex; structure, function and theory 1989, Birkhauser, Boston.
94. Wilson H.R., Cowan J.D. A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 1973, 13:55-80.
95. Winograd M., Destexhe A., Sanchez-Vives M.V. Hyperpolarization-activated graded persistent activity in the prefrontal cortex. Proceedings of the National Academy of Sciences USA 2008, 105. 7298-7203.
96. Wong K.-F., Huk A.C, Shadlen M., Wang X.-J. Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision making. Frontiers in Computational Neuroscience 2007, 1:1-11.
97. Wong K.-F., Wang X.-J. A recurrent network mechanism of time integration in perceptual decisions. Journal of Neurological Sciences 2006, 26:1314-1328.