Krishnakumaran R, Pavuluri Abhimanyu, Ray Supratim
IISc Mathematics Initiative, Department of Mathematics, Indian Institute of Science, Bangalore 560012, India.
Centre for Neuroscience, Indian Institute of Science, Bangalore 560012, India.
J Neurosci. 2025 Jan 29;45(5):e1279242024. doi: 10.1523/JNEUROSCI.1279-24.2024.
Gamma rhythm (30-70 Hz), thought to represent the interactions between excitatory and inhibitory populations, can be induced by presenting achromatic gratings in the primary visual cortex (V1) and is sensitive to stimulus properties such as size and contrast. In addition, gamma occurs in short bursts and shows a "frequency falloff" effect where its peak frequency is high after stimulus onset and slowly decreases to a steady state. Recently, these size-contrast properties and temporal characteristics were replicated in a self-oscillating Wilson-Cowan (WC) model operating as an inhibition stabilized network (ISN), stimulated by Ornstein-Uhlenbeck (OU) type inputs. In particular, frequency falloff was explained by delayed and slowly accumulated inputs arriving at local inhibitory populations. We hypothesized that if the stimulus is preceded by another higher contrast stimulus, frequency falloff could be abolished or reversed, since the excessive inhibition will now take more time to dissipate. We presented gratings at different contrasts consecutively to two female monkeys while recording gamma using microelectrode arrays in V1 and confirmed this prediction. Further, this model also replicated a characteristic pattern of gamma frequency modulation to counter-phasing stimuli as reported previously. These phenomena were also replicated by an ISN model subject to slow adaptation in feedforward excitatory input. Thus, ISN model with delayed surround input or adapted feedforward input replicates gamma frequency responses to time-varying contrasts.
伽马节律(30 - 70赫兹),被认为代表兴奋性和抑制性神经元群体之间的相互作用,可通过在初级视觉皮层(V1)呈现消色差光栅来诱发,并且对诸如大小和对比度等刺激特性敏感。此外,伽马节律以短脉冲形式出现,并表现出“频率衰减”效应,即其峰值频率在刺激开始后较高,然后缓慢下降至稳定状态。最近,这些大小 - 对比度特性和时间特征在一个作为抑制稳定网络(ISN)运行的自振荡威尔逊 - 考恩(WC)模型中得到了重现,该模型由奥恩斯坦 - 乌伦贝克(OU)型输入刺激。具体而言,频率衰减是由到达局部抑制性神经元群体的延迟且缓慢积累的输入所解释的。我们假设,如果在刺激之前出现另一个更高对比度的刺激,频率衰减可能会被消除或逆转,因为过量的抑制现在需要更多时间来消散。我们在两只雌性猴子的V1区域使用微电极阵列记录伽马节律的同时,连续向它们呈现不同对比度的光栅,并证实了这一预测。此外,该模型还重现了先前报道的伽马频率调制对反相刺激的特征模式。这些现象也在一个前馈兴奋性输入存在缓慢适应性的ISN模型中得到了重现。因此,具有延迟周边输入或适应性前馈输入的ISN模型重现了伽马频率对时变对比度的响应。