 |
The Journal of Neuroscience, June 2, 2004, 24(22):5216-5229; doi:10.1523/JNEUROSCI.0540-04.2004
Previous Article | Next Article 
Behavioral/Systems/Cognitive
Neuronal Avalanches Are Diverse and Precise Activity Patterns That Are Stable for Many Hours in Cortical Slice Cultures
John M. Beggs and
Dietmar Plenz
Unit of Neural Network Physiology, Laboratory of Systems Neuroscience, National Institute of Mental Health, Bethesda, Maryland 20892
A major goal of neuroscience is to elucidate mechanisms of cortical information processing and storage. Previous work from our laboratory (Beggs and Plenz, 2003) revealed that propagation of local field potentials (LFPs) in cortical circuits could be described by the same equations that govern avalanches. Whereas modeling studies suggested that these "neuronal avalanches" were optimal for information transmission, it was not clear what role they could play in information storage. Work from numerous other laboratories has shown that cortical structures can generate reproducible spatiotemporal patterns of activity that could be used as a substrate for memory. Here, we show that although neuronal avalanches lasted only a few milliseconds, their spatiotemporal patterns were also stable and significantly repeatable even many hours later. To investigate these issues, we cultured coronal slices of rat cortex for 4 weeks on 60-channel microelectrode arrays and recorded spontaneous extracellular LFPs continuously for 10 hr. Using correlation-based clustering and a global contrast function, we found that each cortical culture spontaneously produced 4736 ± 2769 (mean ± SD) neuronal avalanches per hour that clustered into 30 ± 14 statistically significant families of spatiotemporal patterns. In 10 hr of recording, over 98% of the mutual information shared by these avalanche patterns were retained. Additionally, jittering analysis revealed that the correlations between avalanches were temporally precise to within ±4 msec. The long-term stability, diversity, and temporal precision of these avalanches indicate that they fulfill many of the requirements expected of a substrate for memory and suggest that they play a central role in both information transmission and storage within cortical networks.
Key words: activity pattern; avalanche; information storage; memory; cortical network; organotypic culture; spontaneous activity; multielectrode array
Received Feb 16, 2004;
revised April 29, 2004;
accepted April 29, 2004.
This article has been cited by other articles:

|
 |

|
 |
 
X. Shen, X. Lin, and P. De Wilde
Oscillations and Spiking Pairs: Behavior of a Neuronal Model with STDP Learning
Neural Comput.,
August 1, 2008;
20(8):
2037 - 2069.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. D. Gireesh and D. Plenz
Neuronal avalanches organize as nested theta- and beta/gamma-oscillations during development of cortical layer 2/3
PNAS,
May 27, 2008;
105(21):
7576 - 7581.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
A. Tang, D. Jackson, J. Hobbs, W. Chen, J. L. Smith, H. Patel, A. Prieto, D. Petrusca, M. I. Grivich, A. Sher, et al.
A Maximum Entropy Model Applied to Spatial and Temporal Correlations from Cortical Networks In Vitro
J. Neurosci.,
January 9, 2008;
28(2):
505 - 518.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
H. Soula and C. C. Chow
Stochastic dynamics of a finite-size spiking neural network.
Neural Comput.,
December 1, 2007;
19(12):
3262 - 3292.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Jacobi and E. Moses
Variability and Corresponding Amplitude-Velocity Relation of Activity Propagating in One-Dimensional Neural Cultures
J Neurophysiol,
May 1, 2007;
97(5):
3597 - 3606.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
O. Feinerman, M. Segal, and E. Moses
Identification and Dynamics of Spontaneous Burst Initiation Zones in Unidimensional Neuronal Cultures
J Neurophysiol,
April 1, 2007;
97(4):
2937 - 2948.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. Durstewitz and T. Gabriel
Dynamical Basis of Irregular Spiking in NMDA-Driven Prefrontal Cortex Neurons
Cereb Cortex,
April 1, 2007;
17(4):
894 - 908.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K. J. Miller, E. C. Leuthardt, G. Schalk, R. P. N. Rao, N. R. Anderson, D. W. Moran, J. W. Miller, and J. G. Ojemann
Spectral Changes in Cortical Surface Potentials during Motor Movement
J. Neurosci.,
February 28, 2007;
27(9):
2424 - 2432.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
T. Sasaki, N. Matsuki, and Y. Ikegaya
Metastability of Active CA3 Networks
J. Neurosci.,
January 17, 2007;
27(3):
517 - 528.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. Eytan and S. Marom
Dynamics and Effective Topology Underlying Synchronization in Networks of Cortical Neurons.
J. Neurosci.,
August 15, 2006;
26(33):
8465 - 8476.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
C. V. Stewart and D. Plenz
Inverted-U Profile of Dopamine-NMDA-Mediated Spontaneous Avalanche Recurrence in Superficial Layers of Rat Prefrontal Cortex
J. Neurosci.,
August 2, 2006;
26(31):
8148 - 8159.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
O. Feinerman, M. Segal, and E. Moses
Signal Propagation Along Unidimensional Neuronal Networks
J Neurophysiol,
November 1, 2005;
94(5):
3406 - 3416.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
D. V. Buonomano
A Learning Rule for the Emergence of Stable Dynamics and Timing in Recurrent Networks
J Neurophysiol,
October 1, 2005;
94(4):
2275 - 2283.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
P.-M. Lau and G.-Q. Bi
Synaptic mechanisms of persistent reverberatory activity in neuronal networks
PNAS,
July 19, 2005;
102(29):
10333 - 10338.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
G. Czanner, S. Grun, and S. Iyengar
Theory of the Snowflake Plot and Its Relations to Higher-Order Analysis Methods
Neural Comput.,
July 1, 2005;
17(7):
1456 - 1479.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
E. M. Izhikevich
Polychronization: Computation with Spikes
Neural Comput.,
February 1, 2005;
18(2):
245 - 282.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|