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Spike-frequency adaptation as a mechanism for dynamic coding in V1

机译:尖峰频率自适应作为V1中动态编码的机制

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We investigate the representation of visual stimuli and the shore-term dynamics of activity within primary visual cortex in a 'free-viewing' scenario with 's according eye movements' modeled as a series of visual stimuli that are flashed onto the retina for the duration of a fixation period (200-300ms). We assume that the entire activity pattern from the beginning of fixation until time t constitutes the neural code. Given a noisy (Poissonian) representation it follows that the signal-to-noise ratio increases with time, because more spikes become available for repres- entation. Here, we show that for archiving an optimal stimulus representation in any increasing time-window beginning with stimulus onset, the processing strategy of the network should be dynamic in the sense that an initially high recurrent cortical competition between orientation selective cells attenuates with time, i.e. mediated by the instrinsic property of spike-frequency adaptation of pyramidal cells.
机译:我们在“自由视”场景中调查视觉刺激的表示和主要视觉皮层内活动的海岸动态,将“视眼运动”建模为一系列在持续时间内一直闪烁到视网膜上的视觉刺激固定周期(200-300ms)。我们假设从固定开始到时间t的整个活动模式构成了神经密码。给定一个嘈杂的(泊松)表示,信噪比随时间增加,因为有更多的尖峰可用于表示。在这里,我们表明,要在从刺激发生开始的任何增加的时间窗口中存档最佳刺激表示,网络的处理策略应该是动态的,因为定向选择细胞之间最初的高循环皮层竞争会随着时间而衰减,即介导的锥体细胞的尖峰频率适应的内在属性介导。

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