Neurophysiology Laboratory, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Anatomy Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Sci Rep. 2024 Oct 1;14(1):22862. doi: 10.1038/s41598-024-73995-4.
In the primary visual cortex area V1 activation of inhibitory interneurons, which provide negative feedback for excitatory pyramidal neurons, can improve visual response reliability and orientation selectivity. Moreover, optogenetic activation of one class of interneurons, parvalbumin (PV) positive cells, reduces the receptive field (RF) width. These data suggest that in V1 the negative feedback improves visual information processing. However, according to information theory, noise can limit information content in a signal, and to the best of our knowledge, in V1 signal-to-noise ratio (SNR) has never been estimated following either pyramidal or inhibitory neuron activation. Therefore, we optogenetically activated pyramidal or PV neurons in the deep layers of cortical area V1 and measured the SNR and RF area in nearby pyramidal neurons. Activation of pyramidal or PV neurons increased the SNR by 267% and 318%, respectively, and reduced the RF area to 60.1% and 77.5%, respectively, of that of the control. A simple integrate-and-fire neuron model demonstrated that an improved SNR and a reduced RF area can increase the amount of information encoded by neurons. We conclude that in V1 activation of pyramidal neurons improves visual information processing since the location of the visual stimulus can be pinpointed more accurately (via a reduced RF area), and more information is encoded by neurons (due to increased SNR).
在初级视皮层 V1 区,抑制性中间神经元的激活为兴奋性锥体神经元提供负反馈,可以提高视觉反应的可靠性和方向选择性。此外,光遗传学激活一类中间神经元,即 Parvalbumin(PV)阳性细胞,可以减小感受野(RF)的宽度。这些数据表明,在 V1 中,负反馈可以改善视觉信息处理。然而,根据信息论,噪声会限制信号中的信息含量,据我们所知,在 V1 中,无论是锥体神经元还是抑制性神经元的激活,都从未估计过信号噪声比(SNR)。因此,我们用光遗传学方法激活了皮层 V1 深层的锥体神经元和 PV 神经元,并测量了附近锥体神经元的 SNR 和 RF 区域。激活锥体神经元或 PV 神经元分别使 SNR 增加了 267%和 318%,并使 RF 区域分别减小到对照的 60.1%和 77.5%。一个简单的积分-点火神经元模型表明,提高 SNR 和减小 RF 区域可以增加神经元编码的信息量。我们的结论是,在 V1 中,锥体神经元的激活改善了视觉信息处理,因为可以更准确地定位视觉刺激(通过减小 RF 区域),并且神经元编码的信息量更多(由于 SNR 增加)。