1 code implementation • NeurIPS 2019 • Xiao Liu, Xiaolong Zou, Zilong Ji, Gengshuo Tian, Yuanyuan Mi, Tiejun Huang, K. Y. Michael Wong, Si Wu
Experimental data has revealed that in addition to feedforward connections, there exist abundant feedback connections in a neural pathway.
no code implementations • 16 Oct 2019 • Min Yan, Wen-Hao Zhang, He Wang, K. Y. Michael Wong
We found that when bumps coexist in both modules, the position of each bump is shifted towards the other input when the intermodular couplings are excitatory and is shifted away when inhibitory.
no code implementations • 30 Apr 2019 • Tianqi Hou, K. Y. Michael Wong, Haiping Huang
Remarkably, we find that the embedded correlation between two receptive fields of hidden units reduces the critical data size.
no code implementations • NeurIPS 2016 • Wen-Hao Zhang, He Wang, K. Y. Michael Wong, Si Wu
Mimicking the experimental protocol, our model reproduces the characteristics of congruent and opposite neurons, and demonstrates that in each module, the sisters of congruent and opposite neurons can jointly achieve optimal multisensory information integration and segregation.
no code implementations • NeurIPS 2014 • Yuanyuan Mi, C. C. Alan Fung, K. Y. Michael Wong, Si Wu
To extract motion information, the brain needs to compensate for time delays that are ubiquitous in neural signal transmission and processing.
no code implementations • 10 Apr 2013 • Haiping Huang, K. Y. Michael Wong, Yoshiyuki Kabashima
The geometrical organization is elucidated by the entropy landscape from a reference configuration and of solution-pairs separated by a given Hamming distance in the solution space.