Keller Andreas J, Martin Kevan A C
Institute of Neuroinformatics, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland
Institute of Neuroinformatics, University of Zurich and ETH Zurich, CH-8057 Zurich, Switzerland.
J Neurosci. 2015 Jul 8;35(27):10078-87. doi: 10.1523/JNEUROSCI.0906-15.2015.
Sensory neurons encode stimulus intensity in their instantaneous spike rate and adjust the set-points of the stimulus-response relationships by adaptation. In the visual cortex, adaptation is crucial because the mechanism of fast gain control (normalization) increases the contrast sensitivity of individual neurons at the cost of encoding a far narrower range of contrasts than is encountered in natural scenes. The mechanism of adaptation, however, is a slow process and has a time constant of seconds. Here we use two-photon calcium imaging of identified excitatory and inhibitory neurons in superficial layers of cat primary visual cortex to answer two questions: for a given set-point, what is range of contrasts represented within a local pool of neurons, and what accounts for the slow time constant of contrast adaptation? We found that a local patch of excitatory neurons has a large diversity of contrast tunings, which effectively extends the range of contrast that can be encoded instantaneously in cortex. Additionally, we identified a pool of parvalbumin-positive GABAergic neurons and neurons in the upper tier of imaging sites that showed a paradoxical slow increase in activity during adaptation, thus implicating them in the slow set-point adaptation of the excitatory population. Our results provide new insights into the circuits and mechanisms underlying cortical adaptation and gain control.
Neurons in the primary visual cortex (V1) respond near instantaneously over a limited range of contrasts but can also shift their operating range according to the average contrast of the scene. This "contrast adaptation" takes 5-10 s and ensures that a full range of contrasts can be encoded in V1, while remaining sensitive to small changes in local contrast. By optically recording many layer 2 neurons simultaneously, we discovered that networks of neurons collectively code for a much wider range of contrasts. Whereas most neurons responded to sustained increases in contrast by decreasing their spike firing rates, two types of inhibitory neurons in the cat's visual cortex paradoxically increased their firing rates and so could inhibit other neurons to produce contrast adaptation.
感觉神经元通过其瞬时放电率对刺激强度进行编码,并通过适应来调整刺激-反应关系的设定点。在视觉皮层中,适应至关重要,因为快速增益控制(归一化)机制以编码比自然场景中遇到的对比度范围窄得多的代价提高了单个神经元的对比度敏感性。然而,适应机制是一个缓慢的过程,其时间常数为秒级。在这里,我们使用双光子钙成像技术对猫初级视觉皮层浅层中已识别的兴奋性和抑制性神经元进行研究,以回答两个问题:对于给定的设定点,局部神经元池内表示的对比度范围是多少,以及对比度适应的缓慢时间常数是由什么引起的?我们发现,局部兴奋性神经元斑块具有多种对比度调谐,这有效地扩展了皮层中可瞬时编码的对比度范围。此外,我们确定了一群小白蛋白阳性的GABA能神经元以及成像部位上层的神经元,它们在适应过程中活动出现了自相矛盾的缓慢增加,因此表明它们参与了兴奋性群体的缓慢设定点适应。我们的结果为皮层适应和增益控制的潜在电路和机制提供了新的见解。
初级视觉皮层(V1)中的神经元在有限的对比度范围内几乎能瞬时做出反应,但也能根据场景的平均对比度改变其工作范围。这种“对比度适应”需要5 - 10秒,并确保V1中可以编码完整的对比度范围,同时对局部对比度的小变化保持敏感。通过同时光学记录许多第2层神经元,我们发现神经元网络共同编码的对比度范围要宽得多。虽然大多数神经元通过降低其放电率来响应对比度的持续增加,但猫视觉皮层中的两种抑制性神经元却自相矛盾地增加了它们的放电率,因此可能抑制其他神经元以产生对比度适应。