Intracellular and computational evidence for a dominant role of internal network activity in cortical computations

Current Opinion in Neurobiology

Volumn 21, Issue 5, 2011, Pages 717-725

  Destexhe, Alain ^a  

^a Unite de Neurosciences Integratives et Computationnelles   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN CORTEX; DREAMING; MENTAL DISEASE; NERVE CELL INHIBITION; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CELL STIMULATION; NEUROMODULATION; NONHUMAN; POSITIVE FEEDBACK; PRIORITY JOURNAL; REM SLEEP; REVIEW; STRIATE CORTEX; SYNAPTIC TRANSMISSION; THALAMUS; WAKEFULNESS;

ACTION POTENTIALS; ANIMALS; CEREBRAL CORTEX; HUMANS; MODELS, NEUROLOGICAL; NERVE NET; NEURONS; SYNAPSES;

EID: 82855178810     PISSN: 09594388     EISSN: 18736882     Source Type: Journal    
DOI: 10.1016/j.conb.2011.06.002     Document Type: Review

References (52)

1. Woody C.D., Gruen E. Characterization of electrophysiological properties of intracellularly recorded neurons in the neocortex of awake cats: a comparison of the response to injected current in spike overshoot and undershoot neurons. Brain Res 1978, 158:343-357.
2. Baranyi A., Szente M.B., Woody C.D. Electrophysiological characterization of different types of neurons recorded in vivo in the motor cortex of the cat, II. Membrane parameters, action potentials, current-induced voltage responses and electrotonic structures. J Neurophysiol 1993, 69:1865-1879.
3. Steriade M., Timofeev I., Grenier F. Natural waking and sleep states: a view from inside neocortical neurons. J Neurophysiol 2001, 85:1969-1985.
4. Matsumura M., Cope T., Fetz E.E. Sustained excitatory synaptic input to motor cortex neurons in awake animals revealed by intracellular recording of membrane potentials. Exp Brain Res 1988, 70:463-469.
5. Poulet J.F., Petersen C.C. Internal brain state regulates membrane potential synchrony in barrel cortex of behaving mice. Nature 2008, 454:881-885.
6. Steriade M. Neuronal Substrates of Sleep and Epilepsy 2003, Cambridge University Press, Cambridge, UK.
7. Paré D., Shink E., Gaudreau H., Destexhe A., Lang E.J. Impact of spontaneous synaptic activity on the resting properties of cat neocortical neurons in vivo. J Neurophysiol 1998, 79:1450-1460.
8. Destexhe A., Rudolph M., Paré D. The high-conductance state of neocortical neurons in vivo. Nat Rev Neurosci 2003, 4:739-751.
9. Destexhe A. High-conductance state. Scholarpedia 2007, 2:1341. http://www.scholarpedia.org/article/High-Conductance_State.
10. Hubel D. Single-unit activity in striate cortex of unrestrained cats. J Physiol 1959, 147:226-238.
11. Evarts E.V. Temporal patterns of discharge of pyramidal tract neurons during sleep and waking in the monkey. J Neurophysiol 1964, 27:152-171.
12. Steriade M., Deschênes M., Oakson G. Inhibitory processes and interneuronal apparatus in motor cortex during sleep and waking, I. Background firing and responsiveness of pyramidal tract neurons and interneurons. J Neurophysiol 1974, 37:1065-1092.
13. Destexhe A., Contreras D., Steriade M. Spatiotemporal analysis of local field potentials and unit discharges in cat cerebral cortex during natural wake and sleep states. J Neurosci 1999, 19:4595-4608.
14. Destexhe A., Contreras D. Neuronal computations with stochastic network states. Science 2006, 314:85-90.
15. Ringach D.L. Spontaneous and driven cortical activity: implications for computation. Curr Opin Neurobiol 2009, 19:439-444.
16. Bremer F. L'activité électrique de l'écorce cérébrale. Act Sci Ind 1938, 658:3-46.
17. Bremer F. Cerebral and cerebellar potentials. Physiol Rev 1958, 38:357-388.
18. Model Neural Networks and Behavior. 1985, Plenum Press, New York. A.I. Selverston (Ed.).
19. Getting P.A. Emerging principles governing the operation of neuronal networks. Annu Rev Neurosci 1989, 12:185-204.
20. Llinás R.R. The intrinsic electrophysiological properties of mammalian neurons: a new insight into CNS function. Science 1988, 242:1654-1664.
21. Braitenberg V., Schüz A. Cortex: Statistics and Geometry of Neuronal Connectivity 1998, Springer-Verlag, Berlin. edn 2.
22. Sherman S.M., Guillery R.W. Exploring the Thalamus 2001, Academic Press, New York.
23. Llinas R.R., Paré D. Of dreaming and wakefulness. Neuroscience 1991, 44:521-535.
24. Destexhe A., Hughes S.W., Rudolph M., Crunelli V. Are corticothalamic 'up' states fragments of wakefulness?. Trends Neurosci 2007, 30:334-342.
25. Fiser J., Chiu C., Weliky M Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 2004, 431:573-578.
26. Berkes P., Orban G., Lengyel M., Fiser J. Spontaneous cortical activity reveals hallmarks of an optimal internal model of the environment. Science 2011, 331:83-87.
27. Luczak A., Barthó P., Harris K.D. Spontaneous events outline the realm of possible sensory responses in neocortical populations. Neuron 2009, 62:413-425.
28. Kenet T., Bibitchkov D., Tsodyks M., Grinvald A., Arieli A. Spontaneously emerging cortical representations of visual attributes. Nature 2003, 425:954-956.
29. Hubel D., Wiesel T.N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J Physiol 1962, 160:106-154.
30. Niell C.M., Stryker M.P. Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 2010, 65:472-479.
31. Waters J., Helmchen F. Background synaptic activity is sparse in neocortex. J Neurosci 2006, 26:8267-8277.
32. Wolfe J., Houweling A.R., Brecht M. Sparse and powerful cortical spikes. Curr Opin Neurobiol 2010, 20:306-312.
33. Sakata S., Harris K.D. Laminar structure of spontaneous and sensory-evoked population activity in auditory cortex. Neuron 2009, 64:404-418.
34. Rudolph M., Pospischil M., Timofeev I., Destexhe A. Inhibition determines membrane potential dynamics and controls action potential generation in awake and sleeping cat cortex. J Neurosci 2007, 27:5280-5290.
35. El Boustani S., Marre O., Béhuret S., Baudot P., Yger P., Bal T., Destexhe A., Frégnac Y. Network-state modulation of power-law frequency scaling in visual cortical neurons. PLoS Comput Biol 2009, 5:e1000519.
36. m attractors, and trial-to-trial spiking reproducibility during natural scene viewing in v1 cortex. Soc Neurosci Abst 2004, 948:12.
37. Pospischil M., Piwkowska Z., Rudolph M., Bal T., Destexhe A. Calculating event-triggered average synaptic conductances from the membrane potential. J Neurophysiol 2007, 97:2544-2552.
38. Piwkowska Z., Pospischil M., Brette R., Sliwa J., Rudolph-Lilith M., Bal T., Destexhe A. Characterizing synaptic conductance fluctuations in cortical neurons and their influence on spike generation. J Neurosci Methods 2008, 169:302-322.
39. Rudolph M., Piwkowska Z., Badoual M., Bal T., Destexhe A. A method to estimate synaptic conductances from membrane potential fluctuations. J Neurophysiol 2004, 91:2884-2896.
40. Borg-Graham L.J., Monier C., Frégnac Y. Visual input evokes transient and strong shunting inhibition in visual cortical neurons. Nature 1998, 393:369-373.
41. Monier C., Chavane F., Baudot P., Graham L.J., Frégnac Y. Orientation and direction selectivity of synaptic inputs in visual cortical neurons: a diversity of combinations produces spike tuning. Neuron 2003, 37:663-680.
42. Wehr M., Zador A.M. Balanced inhibition underlies tuning and sharpens spike timing in auditory cortex. Nature 2003, 426:442-446.
43. Wilent W., Contreras D. Dynamics of excitation and inhibition underlying stimulus selectivity in rat somatosensory cortex. Nat Neurosci 2005, 8:1364-1370.
44. Monier C., Fournier J., Frégnac Y. In vitro and in vivo measures of evoked excitatory and inhibitory conductance dynamics in sensory cortices. J Neurosci Methods 2008, 169:323-365.
45. Brunel N. Dynamics of sparsely connected networks of excitatory and inhibitory spiking neurons. J Comp Neurosci 2000, 8:183-208.
46. El Boustani S., Pospischil M., Rudolph-Lilith M., Destexhe A. Activated cortical states: experiments, analyses and models. J Physiol Paris 2007, 101:99-109.
47. Vogels T.P., Abbott L.F. Signal propagation and logic gating in networks of integrate-and-fire neurons. J Neurosci 2005, 25:10786-10795.
48. Buonomano D.V., Merzenich M.M. Temporal information transformed into a spatial code by a network with realistic properties. Science 1995, 267:1028-1030.
49. Dehaene S., Changeux J.P. Ongoing spontaneous activity controls access to consciousness: a neuronal model for inattentional blindness. PLoS Biol 2005, 3:e141.
50. Marre O., Yger P., Davison A.P., Frégnac Y. Reliable recall of spontaneous activity patterns in cortical networks. J Neurosci 2009, 29:14596-14606.
51. Rutishauser U., Douglas R.J. State-dependent computation using coupled recurrent networks. Neural Comput 2009, 21:478-509.
52. Destexhe A., Rudolph M., Fellous J.M., Sejnowski T.J. Fluctuating synaptic conductances recreate in-vivo-like activity in neocortical neurons. Neuroscience 2001, 107:13-24.