6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.NE2021
Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits
Yimeng Zhang, Harold Rockwell, Sicheng Dai +4
Feedforward CNN models have proven themselves in recent years as state-of-the-art models for predicting single-neuron responses to natural images in early visual cortical neurons.…
q-bio.NC2019★ 6 cited
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks
Siming Yan, Xuyang Fang, Bowen Xiao +3
The abundant recurrent horizontal and feedback connections in the primate visual cortex are thought to play an important role in bringing global and semantic contextual information…
q-bio.QM2019
Complexity and Diversity in Sparse Code Priors Improve Receptive Field Characterization of Macaque V1 Neurons
Ziniu Wu, Harold Rockwell, Yimeng Zhang +2
System identification techniques -- projection pursuit regression models (PPRs) and convolutional neural networks (CNNs) -- provide state-of-the-art performance in predicting visua…