Moosavi S Amin, Pastor Antonia, Ornelas Alfredo G, Tring Elaine, Ringach Dario L
Department of Neurobiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
Interdepartmental Neuroscience Program, Brain Research Institute, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095.
bioRxiv. 2024 Dec 20:2024.12.17.628997. doi: 10.1101/2024.12.17.628997.
Sparse coding enables cortical populations to represent sensory inputs efficiently, yet its temporal dynamics remain poorly understood. Consistent with theoretical predictions, we show that stimulus onset triggers broad cortical activation, initially reducing sparseness and increasing mutual information. Subsequently, competitive interactions sustain mutual information as activity declines and sparseness increases. Notably, coding efficiency, defined as the ratio of mutual information to metabolic cost, progressively increases, demonstrating the dynamic optimization of sensory representations.
稀疏编码使皮层神经元群体能够高效地表征感觉输入，但其时间动态仍知之甚少。与理论预测一致，我们发现刺激开始会引发广泛的皮层激活，最初会降低稀疏性并增加互信息。随后，随着活动减少和稀疏性增加，竞争性相互作用维持互信息。值得注意的是，编码效率（定义为互信息与代谢成本之比）逐渐增加，这表明感觉表征的动态优化。
