Krupa Martin, Gielen Stan, Gutkin Boris
Project Team MYCENAE, INRIA Paris-Rocquencourt Research Centre, Domaine de Voluceau BP 105, 78153, Le Chesnay cedex, France,
J Comput Neurosci. 2014 Oct;37(2):357-76. doi: 10.1007/s10827-014-0508-6. Epub 2014 Jul 9.
Gamma oscillations are a prominent phenomenon related to a number of brain functions. Data show that individual pyramidal neurons can fire at rate below gamma with the population showing clear gamma oscillations and synchrony. In one kind of idealized model of such weak gamma, pyramidal neurons fire in clusters. Here we provide a theory for clustered gamma PING rhythms with strong inhibition and weaker excitation. Our simulations of biophysical models show that the adaptation of pyramidal neurons coupled with their low firing rate leads to cluster formation. A partially analytic study of a canonical model shows that the phase response curves with a near zero flat region, caused by the presence of the slow adaptive current, are the key to the formation of clusters. Furthermore we examine shunting inhibition and show that clusters become robust and generic.
伽马振荡是一种与多种脑功能相关的显著现象。数据表明,单个锥体神经元能够以低于伽马频率的速率放电,而神经元群体则呈现出清晰的伽马振荡和同步性。在这种弱伽马的一种理想化模型中,锥体神经元成簇放电。在此,我们提供了一种关于具有强抑制和较弱兴奋的成簇伽马PING节律的理论。我们对生物物理模型的模拟表明,锥体神经元的适应性与其低放电率相结合会导致簇的形成。对一个典型模型的部分分析研究表明,由缓慢适应性电流的存在所导致的具有接近零平坦区域的相位响应曲线是簇形成的关键。此外,我们研究了分流抑制,并表明簇变得稳健且具有普遍性。