Search Results for author: K. Y. Michael Wong

Found 6 papers, 1 papers with code

Bimodular continuous attractor neural networks with static and moving stimuli

no code implementations16 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.

Causal Inference

Minimal model of permutation symmetry in unsupervised learning

no code implementations30 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.

“Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation

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.

Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks

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.

Entropy landscape of solutions in the binary perceptron problem

no code implementations10 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.

Clustering

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