Variability of spike firing during theta-coupled replay of memories in a simulated attractor network

Brain Research

Volumn 1434, Issue , 2012, Pages 152-161

  Lundqvist, Mikael ^a   Herman, Pawel ^a   Lansner, Anders ^a  

^a ROYAL INSTITUTE OF TECHNOLOGY   (Sweden)

Author keywords

Attractor model; Cortex; Oscillation; Spike statistics; Variability; Working memory

Indexed keywords

ATTRACTOR NETWORK; CONFERENCE PAPER; MEMORY CONSOLIDATION; MODEL; NERVE CELL NETWORK; NEUROSCIENCE; OSCILLATION; PRIORITY JOURNAL; SIMULATION; SPIKE WAVE; THETA RHYTHM; WORKING MEMORY;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; EXCITATORY POSTSYNAPTIC POTENTIALS; HAPLORHINI; MEMORY; NEURAL NETWORKS (COMPUTER); NEURONS; RANDOM ALLOCATION; THETA RHYTHM;

EID: 84856624992     PISSN: 00068993     EISSN: 18726240     Source Type: Journal    
DOI: 10.1016/j.brainres.2011.07.055     Document Type: Conference Paper

References (59)

1. M. Abeles, E. Vaadia, and H. Bergman Firing patterns of single units in the prefrontal cortex and neural network models Network 1 1990 13 25
2. D.J. Amit, and N. Brunel Model of global spontaneous activity and local structured activity during delay periods in cerebral cortex Cereb. Cortex 7 1997 237 252 (Pubitemid 27184484)
3. N. Axmacher, F. Mormann, G. Fernadez, M.X. Cohen, C.E. Elger, and J. Fell Sustained neural activity patterns during working memory in the human medial temporal lobe J. Neurosci. 27 29 2007 7807 7816 (Pubitemid 47093818)
4. F. Barbieri, and N. Brunel Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex? Front. Neurosci. 2 2008 114 122
5. N. Brunel, and V. Hakim Fast global oscillations in networks of integrate-and fire neurons with low firing rates Neural Comput. 11 7 1999 1621 1671
6. R.T. Canolty, E. Edwards, S.S. Dalai, M. Soltani, S.S. Nagarajan, H.E. Kirsch, M.S. Berger, N.M. Barbaro, and R.T. Knight High gamma power is phase-locked to theta oscillations in human neocortex Science 13 2006 1626 1628 (Pubitemid 44414034)
7. J.J. Chrobak, and G. Buzsáki Gamma oscillations in the entorhinal cortex of freely behaving rat J. Neurosci. 18 1 1998 388 398 (Pubitemid 28046796)
8. M.M. Churchland, B.Y. Yu, J.P. Cunningham, L.P. Sugrue, and M.R. Cohen Stimulus onset quenches neural variability: a widespread cortical phenomenon Nat. Neurosci. 13 2010 369 378
9. A. Compte, C. Constaninidis, J. Tegnér, S. Raghavachari, M.V. Chafee, P.S. Goldman-Rakic, and X.J. Wang Temporally irregular mnemonic persistent activity in prefrontal neurons of monkeys during a delayed response task J. Neurophysiol. 90 2003 3441 3454 (Pubitemid 37430036)
10. R. Cossart, D. Aronov, and R. Yuste Attractor dynamics of network UP states in the neocortex Nature 423 2003 283 288 (Pubitemid 40852697)
11. C.P.J. de Kock, and B. Sakmann Spiking in primary somatosensory cortex during natural whisking in awake head-restrained rats is cell-type specific PNAS 106 38 2009 16446 16450
12. M. Djurfeldt, M. Lundqvist, C. Johansson, M. Rehn, Ö. Ekeberg, and A. Lansner Brain-scale simulation of the neocortex on the IBM Blue Gene/L supercomputer IBM J. Res. Dev. 52 2008 31 41
13. D. Durstewitz, and J.K. Seamans Beyond bistability: biophysics and temporal dynamics of working memory Neuroscience 139 1 2006 119 133 (Pubitemid 44437550)
14. L. Franco, E.T. Rolls, N.C. Aggelopoulos, and J.M. Jerez Neural selectivity, population sparseness, and ergodicity in inferior temporal visual cortex Biol. Cybern. 96 2007 547 560 (Pubitemid 46835373)
15. E. Fransén, and A. Lansner Low spiking rates in a population of mutually exciting pyramidal cells Network 6 1995 271 288
16. L. Fuentemilla, W.D. Penny, N. Cashdollar, N. Bunzeck, and E. Duzel Theta-coupled periodic replay in working memory Curr. Biol. 20 2010 1 7
17. J.M. Fuster Unit activity in prefrontal cortex during delayed-response performance: neuronal correlates of transient memory J. Neurophysiol. 36 1973 61 78
18. J.M. Fuster The prefrontal cortex-an update: review time is of the essence Neuron 30 2001 319 333 (Pubitemid 32536780)
19. J.M. Fuster, and G.E. Alexander Neuron activity related to short-term memory Science 173 1971 652 654
20. C.D. Gilbert, J.A. Hirsch, and T.N. Wiesel Lateral interactions in visual cortex Cold Spring Harb. Symp. Quant. Biol. 55 1990 663 677
21. P.S. Goldman-Rakic Cellular basis of working memory Neuron 14 1995 477 485
22. P. Hammarlund, and Ö. Ekeberg Large neural network simulations on multiple hardware platforms J. Comput. Neurosci. 5 1998 443 459 (Pubitemid 28554683)
23. G.R. Holt, W.R. Softky, C. Koch, and R.J. Douglas Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons J. Neurophysiol. 75 1996 1806 1814 (Pubitemid 26159018)
24. M.W. Howard, D.S. Rizzuto, J.B. Caplan, J.R. Madsen, J. Lisman, R. Aschenbrenner-Schreibe, A. Schulze-Bonhage, and M.J. Kahana Gamma oscillations correlate with working memory load in humans Cereb. Cortex 13 2003 1369 1374 (Pubitemid 37466784)
25. O. Jensen, and C.D. Tesche Frontal theta activity in humans increases with memory load in a working memory task Eur. J. Neurosci. 15 2002 1395 1399 (Pubitemid 35478001)
26. Y. Kawaguchi, and Y. Kubota Correlation of physiological subgroupings of nonpyramidal cells with parvalbumin- and calbindinD28k-immunoreactive neurons in layer V of rat frontal cortex J. Neurophysiol. 70 1993 387 396 (Pubitemid 23220322)
27. P. Lennie The cost of cortical computation Curr. Biol. 13 2003 493 497 (Pubitemid 36345724)
28. J. Lisman, and M. Idiart Storage of 7 +/- 2 short-term memories in oscillatory subcycles Science 267 1995 1512 1515
29. M. Lundqvist, M. Rehn, M. Djurfeldt, and A. Lansner Attractor dynamics in a modular network model of the neocortex Netw. Comput. Neural Syst. 17 2006 253 276 (Pubitemid 44898473)
30. M. Lundqvist, A. Compte, and A. Lansner Bistable, irregular firing and population oscillations in a modular attractor memory network PLoS Comput. Biol. 6 2010
31. M. Lundqvist, P. Herman, and A. Lansner Theta and Gamma Power Increases and Alpha/Beta Power Decreases with Memory Load in an Attractor Network Model J. Cog. Neurosci. 23 2011 3008 3020
32. H. Markram, M. Toledo-Rodriguez, Y. Wang, A. Gupta, G. Silberberg, and C. Wu Interneurons of the neocortical inhibitory system Nat. Rev. Neurosci. 5 2004 793 807 (Pubitemid 39336216)
33. G. Miller The magical number seven, plus or minus two: some limits to our capacity to process information Psychol. Rev. 63 1956 81 97
34. G. Mongillo, O. Barak, and M. Tsodyks Synaptic theory of working memory Science 319 2008 1543 1546 (Pubitemid 351398186)
35. E. Nordlie, M.O. Gewaltig, and H.E. Plesser Towards reproducible descriptions of neuronal network models PLoS Comput. Biol. 5 2009 e1000456
36. G. Papp, and A. Treves Network analysis of the significance of hippocampal subfields S.J.I. Mizumori, Hippocampal Place Fields: Relevance and Learning in Memory 2008 Oxford University Press New York 328 342
37. A. Peters, and E. Yilmaz Neuronal organization in area 17 of cat visual cortex Cereb. Cortex 3 1993 49 68 (Pubitemid 23075692)
38. A. Ponce-Alvarez, B.E. Kilavik, and A. Riehle Comparison of local measures of spike time irregularity and relating variability to firing rate in motor cortical neurons J. Comput. Neurosci. 29 2010 352 365
39. S.G. Rao, G.V. Williams, and P.S. Goldman-Rakic Isodirectional tuning of adjacent interneurons and pyramidal cells during working memory: evidence for microcolumnar organization in PFC J. Neurophysiol. 81 1999 1903 1916 (Pubitemid 29262521)
40. A. Renart, R. Moreno-Bote, X.J. Wang, and N. Parga Mean-driven and fluctuation-driven persistent activity in recurrent networks Neural Comput. 19 2007 1 46
41. E.T. Rolls, and M.J. Tovee Sparseness of neuronal representation of stimuli in primate visual cortex J. Neurophysiol. 73 1995 713 726
42. Y. Roudi, and P.E. Latham A balanced memory network PLoS Comput. Biol. 3 2007 e141
43. U. Rutishauser, I.B. Ross, A.N. Mamelak, and E.M. Schuman Human memory strength is predicted by theta-frequency phase-locking of single neurons Nature 464 2010 903 907
44. S. Sakata, and K.D. Harris Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex Neuron 64 2009 404 418
45. A. Sandberg, J. Tegnér, and A. Lansner A working memory model based on fast Hebbian learning Network 14 2003 789 802 (Pubitemid 37553173)
46. M. Shafi, Y. Zhou, J. Quintana, C. Chow, and J.M. Fuster Variability in neuronal activity in primate cortex during working memory tasks Neuroscience 146 2007 1082 1108 (Pubitemid 46711141)
47. S. Shinomoto, K. Shima, and J. Tanji Differences in spiking patterns among cortical neurons Neural Comput. 15 2003 2823 2842 (Pubitemid 37378996)
48. S. Shinomoto, Y. Miyazaki, H. Tamura, and I. Fujita Regional and laminar differences in in vivo firing patterns of primate cortical neurons J. Neurophysiol. 94 2005 567 575 (Pubitemid 40923270)
49. S. Shinomoto, H. Kim, T. Shimokawa, N. Matsuno, and S. Funahashi Relating neuronal firing patterns to functional differentiation of cerebral cortex PLoS Comput. Biol. 5 7 2009 e1000433
50. A. Sirota, S. Montgomery, S. Fujisawa, Y. Isomura, M. Zugaro, and G. Buzsáki Entrainment of neocortical neurons and gamma oscillations by the hippocampal theta rhythm Neuron 60 2008 683 697
51. A.M. Thomson, D.C. West, Y. Wang, and A.P. Bannister Synaptic connections and small circuits involving excitatory and inhibitory neurons in layers 2-5 of adult rat and cat neocortex: triple intracellular recordings and biocytin labelling in vitro Cereb. Cortex 12 2002 936 953
52. A. Treves Frontal latching networks: a possible neural basis for infinite recursion Cogn. Neuropsychol. 22 3 2005 276 291 (Pubitemid 40812693)
53. M.V. Tsodyks, and T. Sejnowski Rapid state switching in balanced cortical network models Netw. Comput. Neural Syst. 6 1995 111 124
54. M. Tsodyks, K. Pawelzik, and H. Markram Neural networks with dynamic synapses Neural Comput. 10 1998 821 835 (Pubitemid 128463179)
55. C. van Vreeswijk, and H. Sompolinsky Chaos in neuronal networks with balanced excitatory and inhibitory activity Science 274 1996 1724 1726 (Pubitemid 26414907)
56. M.K. van Vugt, A. Schulze-Bonhage, B. Litt, A. Brandt, and M.J. Kahana Hippocampal gamma oscillations increase with memory load J. Neurosci. 30 2010 2694 2699
57. X.J. Wang Synaptic basis of cortical persistent activity: the importance of NMDA receptors to working memory J. Neurosci. 19 1999 9587 9603
58. Y. Wang, H. Markram, P.H. Goodman, T.K. Berger, J. Ma, and P.S. Goldman-Rakic Heterogeneity in the pyramidal network of the medial prefrontal cortex Nat. Neurosci. 9 2006 534 542
59. S. Waydo, A. Kraskov, R.Q. Quiroga, I. Fried, and C. Koch Sparse representation in the human medial temporal lobe J. Neurosci. 26 2006 10232 10234 (Pubitemid 44527416)