Department of Physics, Università di Parma, 43100 Parma, Italy, Oxford Centre for Computational Neuroscience, Oxford OX1 2UD, United Kingdom.
J Neurosci. 2010 Oct 20;30(42):14173-81. doi: 10.1523/JNEUROSCI.0945-10.2010.
In this paper, we examine decision making in a spiking neuronal network and show that longer time constants for the inhibitory neurons can decrease the reaction times and produce theta rhythm. We analyze the mechanism and find that the spontaneous firing rate before the decision cues are applied can drift, and thereby influence the speed of the reaction time when the decision cues are applied. The drift of the firing rate in the population that will win the competition is larger if the time constant of the inhibitory interneurons is increased from 10 to 33 ms, and even larger if there are two populations of inhibitory neurons with time constants of 10 and 100 ms. Of considerable interest is that the decision that will be made can be influenced by the noise-influenced drift of the spontaneous firing rate over many seconds before the decision cues are applied. The theta rhythm associated with the longer time constant networks mirrors the greater integration in the firing rate drift produced by the recurrent connections over long time periods in the networks with slow inhibition. The mechanism for the effect of slow waves in the theta and delta range on decision times is suggested to be increased neuronal spiking produced by depolarization of the membrane potential on the positive part of the slow waves when the neuron's membrane potential is close to the firing threshold.
在本文中,我们研究了尖峰神经元网络中的决策制定,并表明抑制性神经元的更长时间常数可以减少反应时间并产生θ节律。我们分析了这种机制,发现决策提示应用前的自发放电率会漂移,从而影响决策提示应用时的反应时间速度。如果将抑制性中间神经元的时间常数从 10 增加到 33 毫秒,那么在竞争中获胜的群体的放电率漂移会更大,如果存在两个具有 10 和 100 毫秒时间常数的抑制性神经元群体,则漂移会更大。相当有趣的是,在应用决策提示之前的数秒钟内,自发放电率受噪声影响的漂移可以影响将要做出的决策。与较长时间常数网络相关的θ节律反映了在具有较慢抑制的网络中,由于长时程的递归连接而产生的放电率漂移的更大整合。建议将慢波对决策时间的影响的机制归因于当神经元的膜电位接近放电阈值时,膜电位的去极化导致神经元的放电增加,从而产生较慢的θ和δ范围内的慢波。