Information flow dynamics in the brain

Physics of Life Reviews

Volumn 9, Issue 1, 2012, Pages 51-73

  Rabinovich, Mikhail I ^a   Afraimovich, Valentin S ^b   Bick, Christian ^c   Varona, Pablo ^d  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b INSTITUTO DE INVESTIGACIÓN EN COMUNICACIÓN ÓPTICA   (Mexico)

^c MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^d UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Information capacity; Information creation; Information flows in phase space; Language dynamics; Mental disorders; Working memory

Indexed keywords

BRAIN ACTIVITY; COGNITIVE ACTIVITIES; COGNITIVE CONTROL; COGNITIVE MECHANISMS; DYNAMICAL MODEL; EXPERIMENTAL TECHNIQUES; FLOW INFORMATIONS; INFORMATION CREATION; INFORMATION DYNAMICS; INFORMATION FLOWS; MENTAL DISORDERS; PERCEPTUAL INFORMATION; PHASE SPACES; SEQUENTIAL PROCESSING; STABILITY/INSTABILITY; TEMPORAL EVOLUTION; THEORETICAL APPROACH; TOPDOWN; WORKING MEMORIES;

BEHAVIORAL RESEARCH; BRAIN; CHANNEL CAPACITY; DYNAMICS; INFORMATION THEORY; PHASE SPACE METHODS;

QUALITY CONTROL;

BRAIN; COGNITION; HUMAN; LEARNING; MEMORY; NEUROSCIENCE; PHYSIOLOGY; REVIEW;

BRAIN; COGNITION; HUMANS; LEARNING; MEMORY; NEUROSCIENCES;

EID: 84857140699     PISSN: 15710645     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.plrev.2011.11.002     Document Type: Review

References (100)

1. Anderson J. Responses to charge questions in cognitive aspects of decision making. In: Research workshop, 22-24 September 2008. Washington, DC; 2008.
2. Pecora L.M., Carroll T.L., Johnson G.A., Mar D.J., Heagy J.F. Fundamentals of synchronization in chaotic systems, concepts, and applications. Chaos 1997, 7(4):520-543. 10.1063/1.166278.
3. Freeman W.J. Comparison of brain models for active vs. passive perception. Inform Sci 1999, 116(2-4):97-107.
4. Coordination dynamics: issues and trends 2004, Springer. V.K. Jirsa, J. Kelso (Eds.).
5. Eguia M.C., Rabinovich M.I., Abarbanel H.D.I. Information transmission and recovery in neural communications channels. Phys Rev E 2000, 62:7111-7122.
6. Rabinovich M.I., Pinto R.D., Abarbanel H.D.I., Tumer E., Stiesberg G., Huerta R., et al. Recovery of hidden information through synaptic dynamics. Network 2002, 13(4):487-501.
7. Tiesinga P.H. Information transmission and recovery in neural communication channels revisited. Phys Rev E Stat Nonlin Soft Matter Phys 2001, 64(1 Pt 1):12901.
8. Levi R., Varona P., Arshavsky Y.I., Rabinovich M.I., Selverston A.I. Dual sensory-motor function for a molluskan statocyst network. J Neurophysiol 2004, 91:336.
9. Levi R., Varona P., Arshavsky Y.I., Rabinovich M.I., Selverston A.I. The role of sensory network dynamics in generating a motor program. J Neurosci 2005, 25:9807-9815.
10. Young L.-S. Entropy 2003, Princeton Univ Press, p. 313-28 [Ch. Entropy].
11. Varona P., Rabinovich M.I., Selverston A.I., Arshavsky Y.I. Winnerless competition between sensory neurons generates chaos: a possible mechanism for molluscan hunting behavior. Chaos 2002, 12(3):672-677.
12. Varona P., Levi R., Arshavsky Y.I., Rabinovich M.I., Selverston A.I. Competing sensory neurons and motor rhythm coordination. Neurocomputing 2004, 58-60:549-554.
13. Venaille A., Varona P., Rabinovich M.I. Synchronization and coordination of sequences in two neural ensembles. Phys Rev E Stat Nonlin Soft Matter Phys 2005, 71(6 Pt 1):61909.
14. Tononi G. Consciousness as integrated information: a provisional manifesto. Biol Bull 2008, 215(3):216-242.
15. Perlovsky L.I. Toward physics of the mind: concepts, emotions, consciousness, and symbols. Phys Life Rev 2006, 3(1):23-55. 10.1016/j.plrev.2005.11.003.
16. Maybin J., Swann J. Everyday creativity in language: textuality, contextuality, and critique. Appl Linguistics 2007, 28(4):497-517. 10.1093/applin/amm036.
17. Baeg E.H., Kim Y.B., Huh K., Mook-Jung I., Kim H.T., Jung M.W. Dynamics of population code for working memory in the prefrontal cortex. Neuron 2003, 40(1):177-188.
18. Jones L.M., Fontanini A., Sadacca B.F., Miller P., Katz D.B. Natural stimuli evoke dynamic sequences of states in sensory cortical ensembles. Proc Natl Acad Sci USA 2007, 104(47):18772-18777. 10.1073/pnas.0705546104.
19. Mazor O., Laurent G. Transient dynamics versus fixed points in odor representations by locust antennal lobe projection neurons. Neuron 2005, 48(4):661-673. 10.1016/j.neuron.2005.09.032.
20. Rabinovich M.I., Huerta R., Varona P., Afraimovich V.S. Transient cognitive dynamics, metastability, and decision making. PLoS Comput Biol 2008, 4(5):e1000072. 10.1371/journal.pcbi.1000072.
21. Uchida N., Mainen Z.F. Speed and accuracy of olfactory discrimination in the rat. Nat Neurosci 2003, 6(11):1224-1229. 10.1038/nn1142.
22. Buzsáki G. Neural syntax: cell assemblies, synapsembles, and readers. Neuron 2010, 68(3):362-385. 10.1016/j.neuron.2010.09.023.
23. Fingelkurts A.A., Fingelkurts A.A. Timing in cognition and EEG brain dynamics: discreteness versus continuity. Cogn Process 2006, 7(3):135-162. 10.1007/s10339-006-0035-0.
24. Friston K.J. Transients, metastability, and neuronal dynamics. Neuroimage 1997, 5(2):164-171. 10.1006/nimg.1997.0259.
25. Friston K.J. The labile brain. I. Neuronal transients and nonlinear coupling. Philos Trans R Soc Lond B Biol Sci 2000, 355(1394):215-236. 10.1098/rstb.2000.0560.
26. Gros C. Neural networks with transient state dynamics. New J Phys 2007, 9:109.
27. Ito J., Nikolaev A.R., van Leeuwen C. Dynamics of spontaneous transitions between global brain states. Hum Brain Mapp 2007, 28(9):904-913. 10.1002/hbm.20316.
28. Kelso J.A.S. Dynamic patterns: the self-organization of brain and behavior 1995, The MIT Press.
29. Oullier O., Kelso J.A.S. Neuroeconomics and the metastable brain. Trends Cogn Sci 2006, 10(8):353-354. 10.1016/j.tics.2006.06.009.
30. Rabinovich M., Volkovskii A., Lecanda P., Huerta R., Abarbanel H.D., Laurent G. Dynamical encoding by networks of competing neuron groups: winnerless competition. Phys Rev Lett 2001, 87(6):68102.
31. Rabinovich M., Huerta R., Laurent G. Neuroscience. Transient dynamics for neural processing. Science 2008, 321(5885):48-50. 10.1126/science.1155564.
32. Braginsky V., Khalili F. Quantum measurement 1992, Cambridge University Press.
33. Chaitin G. Information, randomness and incompleteness 1987, World Scientific.
34. Chaitin G. Meta-Math! The quest for omega 2005, Pantheon Books, New York.
35. Diamant E. Modeling visual information processing in brain: a computer vision point of view and approach. LNCS 2007, vol. 4729:6271.
36. Boly M., Garrido M.I., Gosseries O., Bruno M.-A., Boveroux P., Schnakers C., et al. Preserved feedforward but impaired top-down processes in the vegetative state. Science 2011, 332(6031):858-862. 10.1126/science.1202043.
37. Cisek P. Neurobiology: the currency of guessing. Nature 2007, 447(7148):1061-1062. 10.1038/4471061a.
38. Andersen R.A., Buneo C.A. Sensorimotor integration in posterior parietal cortex. Adv Neurol 2003, 93:159-177.
39. Cisek P. Integrated neural processes for defining potential actions and deciding between them: a computational model. J Neurosci 2006, 26(38):9761-9770. 10.1523/JNEUROSCI.5605-05.2006.
40. Cisek P., Kalaska J.F. Neural mechanisms for interacting with a world full of action choices. Annu Rev Neurosci 2010, 33:269-298. 10.1146/annurev.neuro.051508.135409.
41. Daw N.D., Niv Y., Dayan P. Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nat Neurosci 2005, 8(12):1704-1711. 10.1038/nn1560.
42. Tiesinga P.H., Sejnowski T.J. Mechanisms for phase shifting in cortical networks and their role in communication through coherence. Front Hum Neurosci 2010, 4:196. 10.3389/fnhum.2010.00196.
43. Lungarella M., Sporns O. Mapping information flow in sensorimotor networks. PLoS Comput Biol 2006, 2(10):e144. 10.1371/journal.pcbi.0020144.
44. Raij T., Karhu J., Kici D., Lioumis P., Julkunen P., Lin F.-H., et al. Parallel input makes the brain run faster. Neuroimage 2008, 40(4):1792-1797. 10.1016/j.neuroimage.2008.01.055.
45. Witt DBDA, Geisel T, Wolf F. Dynamic transitions in the effective connectivity of interacting cortical areas. In: FENS Abstr., vol. 5, 130.4, 2010.
46. Hirabayashi T., Takeuchi D., Tamura K., Miyashita Y. Triphasic dynamics of stimulus-dependent information flow between single neurons in macaque inferior temporal cortex. J Neurosci 2010, 30(31):10407-10421. 10.1523/JNEUROSCI.0135-10.2010.
47. Akam T., Kullmann D.M. Oscillations and filtering networks support flexible routing of information. Neuron 2010, 67(2):308-320. 10.1016/j.neuron.2010.06.019.
48. Afraimovich V.S., Zhigulin V.P., Rabinovich M.I. On the origin of reproducible sequential activity in neural circuits. Chaos 2004, 14:1123.
49. Rabinovich M.I., Varona P. Robust transient dynamics and brain functions. Front Comput Neurosci 2011, 5:24. 10.3389/fncom.2011.00024.
50. Rigotti M., Rubin D.B.D., Wang X.-J., Fusi S. Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses. Front Comput Neurosci 2010, 4:24. 10.3389/fncom.2010.00024.
51. Kanter I., Sompolinsky H. Temporal association in asymmetric neural networks. Phys Rev Lett 1986, 57(22):2861-2864.
52. Bick C., Rabinovich M.I. On the occurrence of stable heteroclinic channels in Lotka-Volterra models. Dyn Syst Internat J 2009, 25:1-14.
53. Rabinovich M.I., Muezzinoglu M.K., Strigo I., Bystritsky A. Dynamical principles of emotion-cognition interaction: mathematical images of mental disorders. PLoS One 2010, 5(9):e12547. 10.1371/journal.pone.0012547.
54. Huerta R., Rabinovich M. Reproducible sequence generation in random neural ensembles. Phys Rev Lett 2004, 93(23):238104.
55. Nowotny T., Rabinovich M.I. Dynamical origin of independent spiking and bursting activity in neural microcircuits. Phys Rev Lett 2007, 98(12):128106.
56. Hawkings J., Blakeslee S. On intelligence 2004, Times Books, New York.
57. Yamashita Y., Tani J. Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment. PLoS Comput Biol 2008, 4(11):e1000220. 10.1371/journal.pcbi.1000220.
58. Shannon C.E. A mathematical theory of communication. Bell Syst Techn J 1948, 27:379-423.
59. Wiener N. Modern mathematics for the engineer 1956, McGraw-Hill, New York, [Ch. The theory].
60. Granger C.W.J. Investigating causal relations by economic models and cross-spectral methods. Econometrica 1969, 37:424-438.
61. Talsma D., Senkowski D., Soto-Faraco S., Woldorff M.G. The multifaceted interplay between attention and multisensory integration Trends Cogn Sci. http://dx.doi.org/10.1016/j.tics.2010.06.008.
62. Laurent G., Stopfer M., Friedrich R.W., Rabinovich M.I., Abarbanel H.D.I. Odor encoding as an active, dynamical process: experiments, computation, and theory. Annu Rev Neurosci 2001, 24:263-297.
63. Rabinovich M.I., Afraimovich V.S., Varona P. Heteroclinic binding. Dyn Syst Internat J 2010, 25(3):433-442.
64. Raizada R.D.S., Kriegeskorte N. Pattern-information fMRI: new questions which it opens up and challenges which face it. Int J Imaging Syst Technol 2010, 20:31-41.
65. von Kriegstein K., Giraud A.-L. Implicit multisensory associations influence voice recognition. PLoS Biol 2006, 4(10):e326. 10.1371/journal.pbio.0040326.
66. Baker G.L., Gollub J.B. Chaotic dynamics an introduction 1996, Cambridge University Press.
67. Singer W., Gray C.M. Visual feature integration and the temporal correlation hypothesis. Annu Rev Neurosci 1995, 18:555-586.
68. Senkowski D., Schneider T.R., Foxe J.J., Engel A.K. Crossmodal binding through neural coherence: implications for multisensory processing. Trends Neurosci 2008, 31(8):401-409. 10.1016/j.tins.2008.05.002.
69. Bick C., Rabinovich M.I. Dynamical origin of the effective storage capacity in the brain's working memory. Phys Rev Lett 2009, 103(21):218101.
70. Edin F., Klingberg T., Johansson P., McNab F., Tegnér J., Compte A. Mechanism for top-down control of working memory capacity. Proc Natl Acad Sci USA 2009, 106(16):6802-6807. 10.1073/pnas.0901894106.
71. Oberauer K., Kliegl R. A formal model of capacity limits in working memory. J Mem Lang 2006, 55(4):601-626. 10.1016/j.jml.2006.08.009.
72. Rouder J.N., Morey R.D., Cowan N., Zwilling C.E., Morey C.C., Pratte M.S. An assessment of fixed-capacity models of visual working memory. Proc Natl Acad Sci USA 2008, 105(16):5975-5979. 10.1073/pnas.0711295105.
73. Swanson H.L. What develops in working memory? A life span perspective. Dev Psychol 1999, 35(4):986-1000.
74. Miller G.A. The magical number seven plus or minus two: some limits on our capacity for processing information. Psychol Rev 1956, 63(2):81-97.
75. Pascanu R., Jaeger H. A neurodynamical model for working memory. Neural Netw 2011, 24(2):199-207. 10.1016/j.neunet.2010.10.003.
76. Jensen O., Mazaheri A. Shaping functional architecture by oscillatory alpha activity: gating by inhibition. Front Hum Neurosci 2010, 4:186. 10.3389/fnhum.2010.00186.
77. Lisman J.E., Idiart M.A. Storage of 7±2 short-term memories in oscillatory subcycles. Science 1995, 267(5203):1512-1515.
78. Roopun A.K., Kramer M.A., Carracedo L.M., Kaiser M., Davies C.H., Traub R.D., et al. Temporal interactions between cortical rhythms. Front Neurosci 2008, 2(2):145-154. 10.3389/neuro.01.034.2008.
79. Schroeder C.E., Lakatos P. Low-frequency neuronal oscillations as instruments of sensory selection. Trends Neurosci 2009, 32(1):9-18. 10.1016/j.tins.2008.09.012.
80. Tort A.B.L., Kramer M.A., Thorn C., Gibson D.J., Kubota Y., Graybiel A.M., et al. Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Natl Acad Sci USA 2008, 105(51):20517-20522. 10.1073/pnas.0810524105.
81. Palva J.M., Monto S., Kulashekhar S., Palva S. Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc Natl Acad Sci USA 2010, 107(16):7580-7585. 10.1073/pnas.0913113107.
82. Afraimovich V.S., Rabinovich M.I., Varona P. Heteroclinic contours in neural ensembles and the winnerless competition principle. Internat J Bifur Chaos 2004, 14(4):1195-1208.
83. Bystritsky A, Nierenberg A, Feusner J, Rabinovich M. Computational non-linear dynamical psychiatry: a new methodological paradigm for diagnosis and course of illness. J Psychiatr Res 2012 [in press].
84. Bonsall M.B., Wallace-Hadrill S.M.A., Geddes J.R., Goodwin G.M., Holmes E.A. Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder Proc Biol Sci. http://dx.doi.org/10.1098/rspb.2011.1246.
85. Perlovsky L. Musical emotions: functions, origins, evolution. Phys Life Rev 2010, 7(1):2-27. 10.1016/j.plrev.2009.11.001.
86. Graben P.B., Pinotsis D., Saddy D., Potthast R. Language processing with dynamic fields. Cogn Neurodyn 2008, 2(2):79-88. 10.1007/s11571-008-9042-4.
87. Kiebel S.J., Daunizeau J., Friston K.J. A hierarchy of time-scales and the brain. PLoS Comput Biol 2008, 4(11):e1000209. 10.1371/journal.pcbi.1000209.
88. McClelland J.L., Botvinick M.M., Noelle D.C., Plaut D.C., Rogers T.T., Seidenberg M.S., et al. Letting structure emerge: connectionist and dynamical systems approaches to cognition. Trends Cogn Sci 2010, 14(8):348-356. 10.1016/j.tics.2010.06.002.
89. Halliwell J.O. The nursery rhymes of England 1842, F. Warne and Co., London.
90. Pollard S, Biermann AW. A measure of semantic complexity for natural language systems. In: NAACL-ANLP 2000 workshop: syntactic and semantic complexity in natural language processing systems, NLPComplexity '00. Stroudsburg, PA, USA: Association for Computational Linguistics; 2000, p. 42-6.
91. Sweller J., van Merrienboer J., Paas F. Cognitive architecture and instructional design. Educ Psychol Rev 1998, 10(3):251-296. 10.1023/A:1022193728205.
92. Mikk J. Sentence length for revealing the cognitive load reversal effect in text comprehension. Educ Stud 2008, 34(2):119-127. 10.1080/03055690701811164.
93. Anders S., Heinzle J., Weiskopf N., Ethofer T., Haynes J.-D. Flow of affective information between communicating brains. Neuroimage 2011, 54(1):439-446. 10.1016/j.neuroimage.2010.07.004.
94. Gallese V. The manifold nature of interpersonal relations: the quest for a common mechanism. Philos Trans R Soc Lond B Biol Sci 2003, 358(1431):517-528. 10.1098/rstb.2002.1234.
95. Dumas G., Nadel J., Soussignan R., Martinerie J., Garnero L. Inter-brain synchronization during social interaction. PLoS One 2010, 5(8):e12166. 10.1371/journal.pone.0012166.
96. Sporns O. Networks of the brain 2010, The MIT Press.
97. Bressler S.L., Menon V. Large-scale brain networks in cognition: emerging methods and principles. Trends Cogn Sci 2010, 14(6):277-290. 10.1016/j.tics.2010.04.004.
98. Wen W., Zhu W., He Y., Kochan N.A., Reppermund S., Slavin M.J., et al. Discrete neuroanatomical networks are associated with specific cognitive abilities in old age. J Neurosci 2011, 31(4):1204-1212. 10.1523/JNEUROSCI.4085-10.2011.
99. Principles of brain dynamics: global state interactions 2012, MIT Press. M.I. Rabinovich, K. Friston, P. Varona (Eds.).
100. Dhamala M., Rangarajan G., Ding M. Analyzing information flow in brain networks with nonparametric granger causality. Neuroimage 2008, 41(2):354-362. 10.1016/j.neuroimage.2008.02.020.