Toggling between gamma-frequency activity and suppression of cell assemblies

被引:19
作者
Boergers, Christoph [1 ]
Walker, Bryan [1 ]
机构
[1] Tufts Univ, Dept Math, Medford, MA 02155 USA
来源
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE | 2013年 / 7卷
关键词
gamma oscillation; feedback inhibtion; cell assembly; attentional selection; type; 2; neuron; PHASE-RESETTING CURVES; RAT SOMATOSENSORY CORTEX; GABAERGIC INTERNEURONS; INHIBITORY NEURONS; NETWORK MODEL; IN-VITRO; SYNCHRONIZATION; NEOCORTEX; DYNAMICS; SPIKING;
D O I
10.3389/fncom.2013.00033
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Gamma (3080 Hz) rhythms in hippocampus and neocortex resulting from the interaction of excitatory and inhibitory cells (E- and I-cells), called Pyramidal-Interneuronal Network Gamma (PING), require that the I-cells respond to the E-cells, but don't fire on their own. In idealized models, there is a sharp boundary between a parameter regime where the I-cells have weak-enough drive for PING, and one where they have so much drive that they fire without being prompted by the E-cells. In the latter regime, they often de-synchronize and suppress the E-cells; the boundary was therefore called the "suppression boundary" by Borgers and Kopell (2005). The model I-cells used in the earlier work by Borgers and Kopell have a "type 1" phase response, i.e., excitatory input always advances them. However, fast-spiking inhibitory basket cells often have a "type 2" phase response: Excitatory input arriving soon after they fire delays them. We study the effect of the phase response type on the suppression transition, under the additional assumption that the I-cells are kept synchronous by gap junctions. When many E-cells participate on a given cycle, the resulting excitation advances the I-cells on the next cycle if their phase response is of type 1, and this can result in suppression of more E-cells on the next cycle. Therefore, strong E-cell spike volleys tend to be followed by weaker ones, and vice versa. This often results in erratic fluctuations in the strengths of the E-cell spike volleys. When the phase response of the I-cells is of type 2, the opposite happens: strong E-cell spike volleys delay the inhibition on the next cycle, therefore tend to be followed by yet stronger ones. The strengths of the E-cell spike volleys don't oscillate, and there is a nearly abrupt transition from PING to ING (a rhythm involving I-cells only).
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页数:11
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共 40 条
  • [21] Kopell N, 2010, SPR SER COMPUT NEURO, V5, P423, DOI 10.1007/978-1-4419-0996-1_15
  • [22] Chemical and electrical synapses perform complementary roles in the synchronization of interneuronal networks
    Kopell, N
    Ermentrout, B
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2004, 101 (43) : 15482 - 15487
  • [23] GABA AS AN INHIBITORY NEUROTRANSMITTER IN HUMAN CEREBRAL-CORTEX
    MCCORMICK, DA
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 1989, 62 (05) : 1018 - 1027
  • [24] Membrane Resonance Enables Stable and Robust Gamma Oscillations
    Moca, Vasile V.
    Nikolic, Danko
    Singer, Wolf
    Muresan, Raul C.
    [J]. CEREBRAL CORTEX, 2014, 24 (01) : 119 - 142
  • [25] New roles for the gamma rhythm: Population tuning and preprocessing for the beta rhythm
    Olufsen, MS
    Whittington, MA
    Camperi, M
    Kopell, N
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2003, 14 (01) : 33 - 54
  • [26] Synchronization properties of networks of electrically coupled neurons in the presence of noise and heterogeneities
    Ostojic, Srdjan
    Brunel, Nicolas
    Hakim, Vincent
    [J]. JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2009, 26 (03) : 369 - 392
  • [27] Distinct frequency preferences of different types of rat hippocampal neurones in response to oscillatory input currents
    Pike, FG
    Goddard, RS
    Suckling, JM
    Ganter, P
    Kasthuri, N
    Paulsen, O
    [J]. JOURNAL OF PHYSIOLOGY-LONDON, 2000, 529 (01): : 205 - 213
  • [28] Rinzel J., 1998, Methods Neuron Model, V2, P251
  • [29] SanchezVives MV, 1997, J NEUROSCI, V17, P8880
  • [30] Phase resetting curves and oscillatory stability in interneurons of rat somatosensory cortex
    Tateno, T.
    Robinson, H. P. C.
    [J]. BIOPHYSICAL JOURNAL, 2007, 92 (02) : 683 - 695