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Volumn 13, Issue 1, 2017, Pages

Computational Account of Spontaneous Activity as a Signature of Predictive Coding

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); NEURAL NETWORKS; ORTHOGONAL FUNCTIONS;

EID: 85011324230     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1005355     Document Type: Article
Times cited : (25)

References (49)
  • 1
    • 65549125349 scopus 로고    scopus 로고
    • Spontaneous events outline the realm of possible sensory responses in Neocortical populations
    • ay, 1944709
    • Luczak A, Bartho P, Harris K D, Spontaneous events outline the realm of possible sensory responses in Neocortical populations. Neuron2009May;62(3):413–25. doi: 10.1016/j.neuron.2009.03.01419447096
    • (2009) Neuron , vol.62 , Issue.3 , pp. 413-425
    • Luczak, A.1    Bartho, P.2    Harris, K.D.3
  • 2
    • 0242667929 scopus 로고    scopus 로고
    • Spontaneously emerging cortical representations of visual attributes
    • ct, 1458646
    • Kenet T, Bibitchkov D, Tsodyks M, Grinvald A, Arieli A, Spontaneously emerging cortical representations of visual attributes. Nature2003Oct;425(6961):954–6. doi: 10.1038/nature0207814586468
    • (2003) Nature , vol.425 , Issue.6961 , pp. 954-956
    • Kenet, T.1    Bibitchkov, D.2    Tsodyks, M.3    Grinvald, A.4    Arieli, A.5
  • 3
    • 0029767876 scopus 로고    scopus 로고
    • Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses
    • ep, 879159
    • Arieli A, Sterkin A, Grinvald A, Aertsen A, Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science1996Sep;273(5283):1868–71. doi: 10.1126/science.273.5283.18688791593
    • (1996) Science , vol.273 , Issue.5283 , pp. 1868-1871
    • Arieli, A.1    Sterkin, A.2    Grinvald, A.3    Aertsen, A.4
  • 4
    • 0141499222 scopus 로고    scopus 로고
    • The high-conductance state of neocortical neurons in vivo
    • ep, 1295156
    • Destexhe A, Rudolph M, Pare D, The high-conductance state of neocortical neurons in vivo. Nat Rev Neurosci. 2003Sep;4(9):739–51. doi: 10.1038/nrn119812951566
    • (2003) Nat Rev Neurosci , vol.4 , Issue.9 , pp. 739-751
    • Destexhe, A.1    Rudolph, M.2    Pare, D.3
  • 5
    • 33749621045 scopus 로고    scopus 로고
    • Neuronal computations with stochastic network states
    • ct, 17023650, Review
    • Destexhe A, Contreras D, Neuronal computations with stochastic network states. Science2006Oct;314(5796):85–90. Review. doi: 10.1126/science.112724117023650
    • (2006) Science , vol.314 , Issue.5796 , pp. 85-90
    • Destexhe, A.1    Contreras, D.2
  • 6
    • 70350574151 scopus 로고    scopus 로고
    • Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons
    • ec, 1949931
    • Destexhe A, Self-sustained asynchronous irregular states and Up-Down states in thalamic, cortical and thalamocortical networks of nonlinear integrate-and-fire neurons. J Comput Neurosci. 2009Dec;27(3):493–506. doi: 10.1007/s10827-009-0164-419499317
    • (2009) J Comput Neurosci , vol.27 , Issue.3 , pp. 493-506
    • Destexhe, A.1
  • 7
    • 84872734933 scopus 로고    scopus 로고
    • Gating of sensory input by spontaneous cortical activity
    • an, 23345241,.; ():
    • Luczak A, Bartho P, Harris KD, Gating of sensory input by spontaneous cortical activity. J.Neurosci. 2013Jan;33(4):1684–95doi: 10.1523/JNEUROSCI.2928-12.201323345241
    • (2013) J.Neurosci , vol.33 , Issue.4 , pp. 1684-1695
    • Luczak, A.1    Bartho, P.2    Harris, K.D.3
  • 8
    • 0033799036 scopus 로고    scopus 로고
    • Cellular and network mechanisms of rhythmic recurrent activity in neocortex
    • ct, 1101717
    • Sanchez-Vives MV, McCormick DA, Cellular and network mechanisms of rhythmic recurrent activity in neocortex. Nat Neurosci. 2000Oct;3(10):1027–34. doi: 10.1038/7984811017176
    • (2000) Nat Neurosci , vol.3 , Issue.10 , pp. 1027-1034
    • Sanchez-Vives, M.V.1    McCormick, D.A.2
  • 9
    • 0038216924 scopus 로고    scopus 로고
    • Cellular and network mechanisms of slow oscillatory activity (<1Hz) and wave propagations in a cortical network model
    • ay, 1261205
    • Compte A, Sanchez-Vives MV, McCormick DA, Wang XJ, Cellular and network mechanisms of slow oscillatory activity (<1Hz) and wave propagations in a cortical network model. J Neurophysiol. 2003May;89(5):2707–25. doi: 10.1152/jn.00845.200212612051
    • (2003) J Neurophysiol , vol.89 , Issue.5 , pp. 2707-2725
    • Compte, A.1    Sanchez-Vives, M.V.2    McCormick, D.A.3    Wang, X.J.4
  • 10
    • 0029835892 scopus 로고    scopus 로고
    • Chaos in neuronal networks with balanced excitatory and inhibitory activity
    • ec, 893986
    • van Vreeswijk C, Sompolinsky H, Chaos in neuronal networks with balanced excitatory and inhibitory activity. Science1996Dec;274(5293):1724–6. doi: 10.1126/science.274.5293.17248939866
    • (1996) Science , vol.274 , Issue.5293 , pp. 1724-1726
    • van Vreeswijk, C.1    Sompolinsky, H.2
  • 11
    • 0032528729 scopus 로고    scopus 로고
    • Chaotic balanced state in a model of cortical circuits
    • ug, 969834
    • van Vreeswijk C, Sompolinsky H, Chaotic balanced state in a model of cortical circuits. Neural Comput. 1998Aug;10(6):1321–71. doi: 10.1162/0899766983000172149698348
    • (1998) Neural Comput , vol.10 , Issue.6 , pp. 1321-1371
    • van Vreeswijk, C.1    Sompolinsky, H.2
  • 12
    • 0034006515 scopus 로고    scopus 로고
    • Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons
    • ay-Jun, 1080901
    • Brunel N, Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comput Neurosci. 2000May-Jun;8(3):183–208. doi: 10.1023/A:100892530902710809012
    • (2000) J Comput Neurosci , vol.8 , Issue.3 , pp. 183-208
    • Brunel, N.1
  • 13
    • 33646833761 scopus 로고    scopus 로고
    • Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition
    • pr, 1664123
    • Haider B, Duque A, Hasenstaub AR, McCormick DA, Neocortical network activity in vivo is generated through a dynamic balance of excitation and inhibition. J Neurosci. 2006Apr;26(17):4535–45. doi: 10.1523/JNEUROSCI.5297-05.200616641233
    • (2006) J Neurosci , vol.26 , Issue.17 , pp. 4535-4545
    • Haider, B.1    Duque, A.2    Hasenstaub, A.R.3    McCormick, D.A.4
  • 14
    • 84888221902 scopus 로고    scopus 로고
    • Predictive coding of dynamical variables in balanced spiking networks
    • 4244113,.; (
    • Boerlin M, Machens CK, Denève S, Predictive coding of dynamical variables in balanced spiking networks. PLoS Comput Biol. 2013;9(11) doi: 10.1371/journal.pcbi.100325824244113
    • (2013) PLoS Comput Biol , vol.9 , Issue.11
    • Boerlin, M.1    Machens, C.K.2    Denève, S.3
  • 16
    • 84979586913 scopus 로고    scopus 로고
    • Neural oscillations as a signature of efficient coding in the presence of synaptic delays
    • ul
    • Chalk M, Gutkin B, Denève S, Neural oscillations as a signature of efficient coding in the presence of synaptic delays. Elife. 2016Jul7;5doi: 10.7554/eLife.13824
    • (2016) Elife , vol.5
    • Chalk, M.1    Gutkin, B.2    Denève, S.3
  • 17
    • 84962681937 scopus 로고    scopus 로고
    • Efficiency turns the table on neural encoding, decoding and noise
    • pr, 27065340,.;: –
    • Deneve S, Chalk M, Efficiency turns the table on neural encoding, decoding and noise. Curr Opin Neurobiol. 2016Apr;37:141–8. doi: 10.1016/j.conb.2016.03.00227065340
    • (2016) Curr Opin Neurobiol , vol.37 , pp. 141-148
    • Deneve, S.1    Chalk, M.2
  • 18
    • 84937597362 scopus 로고    scopus 로고
    • Constructing Precisely Computing Networks with Biophysical Spiking Neurons
    • ul, 2618018
    • Schwemmer MA, Fairhall AL, Denéve S, Shea-Brown ET, Constructing Precisely Computing Networks with Biophysical Spiking Neurons. J Neurosci. 2015Jul15;35(28):10112–34. doi: 10.1523/JNEUROSCI.4951-14.201526180189
    • (2015) J Neurosci , vol.35 , Issue.28 , pp. 10112-10134
    • Schwemmer, M.A.1    Fairhall, A.L.2    Denéve, S.3    Shea-Brown, E.T.4
  • 19
    • 26444447071 scopus 로고    scopus 로고
    • Natural image statistics and efficient coding
    • ay, 1675439
    • Olshausen BA, Field DJ, Natural image statistics and efficient coding. Network. 1996May;7(2):333–9. doi: 10.1088/0954-898X_7_2_01416754394
    • (1996) Network , vol.7 , Issue.2 , pp. 333-339
    • Olshausen, B.A.1    Field, D.J.2
  • 20
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • un, 863759
    • Olshausen BA, Field DJ, Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature. 1996Jun13;381(6583):607–9. doi: 10.1038/381607a08637596
    • (1996) Nature , vol.381 , Issue.6583 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 21
    • 0030297038 scopus 로고    scopus 로고
    • Varieties of Helmholtz Machine
    • ov, 1266254
    • Hinton GE, Dayan P, Varieties of Helmholtz Machine. Neural Netw. 1996Nov;9(8):1385–1403. doi: 10.1016/S0893-6080(96)00009-312662541
    • (1996) Neural Netw , vol.9 , Issue.8 , pp. 1385-1403
    • Hinton, G.E.1    Dayan, P.2
  • 22
    • 84955274422 scopus 로고    scopus 로고
    • A review of predictive coding algorithms
    • an, 26809759,.;Epub ahead of prin
    • Spratling MW, A review of predictive coding algorithms. Brain Cogn. 2016Jan;Epub ahead of print doi: 10.1016/j.bandc.2015.11.00326809759
    • (2016) Brain Cogn
    • Spratling, M.W.1
  • 23
    • 84975142818 scopus 로고    scopus 로고
    • Scene Construction, Visual Foraging, and Active Inference
    • un, 27378899,.;
    • Mirza MB, Adams RA, Mathys CD, Friston KJ, Scene Construction, Visual Foraging, and Active Inference. Front Comput Neurosci. 2016Jun14;10:56doi: 10.3389/fncom.2016.0005627378899
    • (2016) Front Comput Neurosci , vol.10 , pp. 56
    • Mirza, M.B.1    Adams, R.A.2    Mathys, C.D.3    Friston, K.J.4
  • 24
    • 79952458995 scopus 로고    scopus 로고
    • Spike-based population coding and working memory
    • eb, 21379319,.; ()
    • Boerlin M, Deneve S, Spike-based population coding and working memory. PLoS Comput Biol. 2011Feb;7(2). doi: 10.1371/journal.pcbi.100108021379319
    • (2011) PLoS Comput Biol , vol.7 , Issue.2
    • Boerlin, M.1    Deneve, S.2
  • 25
    • 82855175230 scopus 로고    scopus 로고
    • Neural processing as causal inference
    • ct, 2174248
    • Lochmann T, Deneve S, Neural processing as causal inference. Curr Opin Neurobiol. 2011Oct;21(5):774–81. doi: 10.1016/j.conb.2011.05.01821742484
    • (2011) Curr Opin Neurobiol , vol.21 , Issue.5 , pp. 774-781
    • Lochmann, T.1    Deneve, S.2
  • 26
    • 84858393465 scopus 로고    scopus 로고
    • Perceptual inference predicts contextual modulations of sensory responses
    • ar, 2244208
    • Lochmann T, Ernst UA, Denève S, Perceptual inference predicts contextual modulations of sensory responses. J Neurosci. 2012Mar21;32(12):4179–95. doi: 10.1523/JNEUROSCI.0817-11.201222442081
    • (2012) J Neurosci , vol.32 , Issue.12 , pp. 4179-4195
    • Lochmann, T.1    Ernst, U.A.2    Denève, S.3
  • 27
    • 84979025698 scopus 로고    scopus 로고
    • Predictive coding as a model of cognition
    • ug, 2711856
    • Spratling MW, Predictive coding as a model of cognition. Cogn Process. 2016Aug;17(3):279–305. doi: 10.1007/s10339-016-0765-627118562
    • (2016) Cogn Process , vol.17 , Issue.3 , pp. 279-305
    • Spratling, M.W.1
  • 28
    • 84940741378 scopus 로고    scopus 로고
    • Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit
    • ug, 26247884,.; (
    • Bharioke A, Chklovskii DB, Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit. PLoS Comput Biol. 2015Aug6;11(8) doi: 10.1371/journal.pcbi.100431526247884
    • (2015) PLoS Comput Biol , vol.11 , Issue.8
    • Bharioke, A.1    Chklovskii, D.B.2
  • 29
    • 84975784709 scopus 로고    scopus 로고
    • Efficient codes and balanced networks
    • ar, 26906504,.; ():
    • Denève S, Machens CK, Efficient codes and balanced networks. Nat Neurosci. 2016Mar;19(3):375–82doi: 10.1038/nn.424326906504
    • (2016) Nat Neurosci , vol.19 , Issue.3 , pp. 375-382
    • Denève, S.1    Machens, C.K.2
  • 30
    • 41149160764 scopus 로고    scopus 로고
    • Noise in the nervous system
    • 8319728,.: –
    • Faisal AA, Selen LP, Wolpert DM, Noise in the nervous system. Nat Rev Neurosci. 20089:292–303. doi: 10.1038/nrn225818319728
    • (2008) Nat Rev Neurosci , vol.9 , pp. 292-303
    • Faisal, A.A.1    Selen, L.P.2    Wolpert, D.M.3
  • 31
    • 0027498486 scopus 로고    scopus 로고
    • Noise in the nervous system
    • Softky WR, Koch C, Noise in the nervous system. J Neurosci. 201313(1):334–350.
    • (2013) J Neurosci , vol.13 , Issue.1 , pp. 334-350
    • Softky, W.R.1    Koch, C.2
  • 32
    • 82855178810 scopus 로고    scopus 로고
    • Intracellular and computational evidence for a dominant role of internal network activity in cortical computations
    • ct, 2171515
    • Destexhe A, Intracellular and computational evidence for a dominant role of internal network activity in cortical computations. Curr Opin Neurobiol. 2011Oct;21(5):717–25. 21715156
    • (2011) Curr Opin Neurobiol , vol.21 , Issue.5 , pp. 717-725
    • Destexhe, A.1
  • 33
    • 84868301107 scopus 로고    scopus 로고
    • Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models
    • ep-Dec, 22863604,.; ():
    • Muller L, Destexhe A, Propagating waves in thalamus, cortex and the thalamocortical system: Experiments and models. J Physiol Paris. 2012Sep-Dec;106(5–6):222–38doi: 10.1016/j.jphysparis.2012.06.00522863604
    • (2012) J Physiol Paris , vol.106 , Issue.5-6 , pp. 222-238
    • Muller, L.1    Destexhe, A.2
  • 34
    • 84899642261 scopus 로고    scopus 로고
    • The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave
    • pr, 24770473,.;
    • Muller L, Reynaud A, Chavane F, Destexhe A, The stimulus-evoked population response in visual cortex of awake monkey is a propagating wave. Nat Commun. 2014Apr28;5:3675doi: 10.1038/ncomms467524770473
    • (2014) Nat Commun , vol.5 , pp. 3675
    • Muller, L.1    Reynaud, A.2    Chavane, F.3    Destexhe, A.4
  • 35
    • 0038688379 scopus 로고    scopus 로고
    • Turning on and off recurrent balanced cortical activity
    • ay, 1274864
    • Shu Y, Hasenstaub A, McCormick DA, Turning on and off recurrent balanced cortical activity. Nature. 2003May15;423(6937):288–93. doi: 10.1038/nature0161612748642
    • (2003) Nature , vol.423 , Issue.6937 , pp. 288-293
    • Shu, Y.1    Hasenstaub, A.2    McCormick, D.A.3
  • 36
    • 67649769032 scopus 로고    scopus 로고
    • Awake replay of remote experiences in the hippocampus
    • ul, 1952594
    • Karlsson MP, Frank LM, Awake replay of remote experiences in the hippocampus. Nat Neurosci. 2009Jul;12(7):913–8. doi: 10.1038/nn.234419525943
    • (2009) Nat Neurosci , vol.12 , Issue.7 , pp. 913-918
    • Karlsson, M.P.1    Frank, L.M.2
  • 37
    • 81155161017 scopus 로고    scopus 로고
    • Synaptic plasticity in sleep: learning, homeostasis and disease
    • ep, 2184006
    • Wang G, Grone B, Colas D, Appelbaum L, Mourrain P, Synaptic plasticity in sleep: learning, homeostasis and disease. Trends Neurosci. 2011Sep;34(9):452–63. doi: 10.1016/j.tins.2011.07.00521840068
    • (2011) Trends Neurosci , vol.34 , Issue.9 , pp. 452-463
    • Wang, G.1    Grone, B.2    Colas, D.3    Appelbaum, L.4    Mourrain, P.5
  • 38
    • 76149100260 scopus 로고    scopus 로고
    • Single-unit activity in piriform cortex during slow-wave state is shaped by recent odor experience
    • eb, 2013018
    • Wilson DA, Single-unit activity in piriform cortex during slow-wave state is shaped by recent odor experience. J Neurosci. 2010Feb3;30(5):1760–5. doi: 10.1523/JNEUROSCI.5636-09.201020130185
    • (2010) J Neurosci , vol.30 , Issue.5 , pp. 1760-1765
    • Wilson, D.A.1
  • 40
    • 84883808205 scopus 로고    scopus 로고
    • Sleep, plasticity and memory from molecules to whole-brain networks
    • ep, 24028961,.; ():
    • Abel T, Havekes R, Saletin JM, Walker MP, Sleep, plasticity and memory from molecules to whole-brain networks. Curr Biol. 2013Sep9;23(17):R774–88doi: 10.1016/j.cub.2013.07.02524028961
    • (2013) Curr Biol , vol.23 , Issue.17 , pp. R774-R788
    • Abel, T.1    Havekes, R.2    Saletin, J.M.3    Walker, M.P.4
  • 41
    • 49649123252 scopus 로고    scopus 로고
    • Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice
    • ug, 1863335
    • Poulet JF, Petersen CC, Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice. Nature. 2008Aug14;454(7206):881–5. doi: 10.1038/nature0715018633351
    • (2008) Nature , vol.454 , Issue.7206 , pp. 881-885
    • Poulet, J.F.1    Petersen, C.C.2
  • 42
    • 80052025971 scopus 로고    scopus 로고
    • Cortical state and attention
    • ug, 2182921
    • Harris KD, Thiele A, Cortical state and attention. Nat Rev Neurosci. 2011Aug10;12(9):509–23. doi: 10.1038/nrn308421829219
    • (2011) Nat Rev Neurosci , vol.12 , Issue.9 , pp. 509-523
    • Harris, K.D.1    Thiele, A.2
  • 43
    • 79955779559 scopus 로고    scopus 로고
    • State-dependent representation of amplitude-modulated noise stimuli in rat auditory cortex
    • pr, 2152528
    • Marguet SL, Harris KD, State-dependent representation of amplitude-modulated noise stimuli in rat auditory cortex. J Neurosci. 2011Apr27;31(17):6414–20. doi: 10.1523/JNEUROSCI.5773-10.201121525282
    • (2011) J Neurosci , vol.31 , Issue.17 , pp. 6414-6420
    • Marguet, S.L.1    Harris, K.D.2
  • 45
    • 84934962352 scopus 로고    scopus 로고
    • NMDA receptors are the basis for persistent network activity in neocortex slices
    • un, 2587815
    • Castro-Alamancos MA, Favero M, NMDA receptors are the basis for persistent network activity in neocortex slices. J Neurophysiol. 2015Jun1;113(10):3816–26. doi: 10.1152/jn.00090.201525878152
    • (2015) J Neurophysiol , vol.113 , Issue.10 , pp. 3816-3826
    • Castro-Alamancos, M.A.1    Favero, M.2
  • 46
    • 0029030249 scopus 로고
    • Reliability of spike timing in neocortical neurons
    • un, 777077
    • Mainen ZF, Sejnowski TJ, Reliability of spike timing in neocortical neurons. Science. 1995Jun9;268(5216):1503–6. doi: 10.1126/science.77707787770778
    • (1995) Science , vol.268 , Issue.5216 , pp. 1503-1506
    • Mainen, Z.F.1    Sejnowski, T.J.2
  • 47
    • 0032525177 scopus 로고    scopus 로고
    • The variable discharge of cortical neurons: implications for connectivity, computation, and information coding
    • 570816,. (): –
    • Shadlen MN, Newsome WT, The variable discharge of cortical neurons: implications for connectivity, computation, and information coding. J Neurosci18(10): 3870–3896. 9570816
    • J Neurosci , vol.18 , Issue.10 , pp. 3870-3896
    • Shadlen, M.N.1    Newsome, W.T.2
  • 48
    • 0142219857 scopus 로고    scopus 로고
    • Persistent cortical activity: mechanisms of generation and effects on neuronal excitability
    • ov, 1457621
    • McCormick DA, Shu Y, Hasenstaub A, Sanchez-Vives M, Badoual M, Bal T, Persistent cortical activity: mechanisms of generation and effects on neuronal excitability. Cereb Cortex. 2003Nov;13(11):1219–31. doi: 10.1093/cercor/bhg10414576213
    • (2003) Cereb Cortex , vol.13 , Issue.11 , pp. 1219-1231
    • McCormick, D.A.1    Shu, Y.2    Hasenstaub, A.3    Sanchez-Vives, M.4    Badoual, M.5    Bal, T.6
  • 49
    • 77954231844 scopus 로고    scopus 로고
    • Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex
    • 059602
    • London M, Roth A, Beeren L, Häusser M, Latham PE, Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature2010;466(7302):123–127. doi: 10.1038/nature0908620596024
    • (2010) Nature , vol.466 , Issue.7302 , pp. 123-127
    • London, M.1    Roth, A.2    Beeren, L.3    Häusser, M.4    Latham, P.E.5


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