research
∙
10/29/2022
Relating Human Perception of Musicality to Prediction in a Predictive Coding Model
We explore the use of a neural network inspired by predictive coding for...
share
research
∙
01/01/2022
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators
Recent advances in deep generative models have led to immense progress i...
research
∙
10/02/2021
Recurrent circuits as multi-path ensembles for modeling responses of early visual cortical neurons
In this paper, we showed that adding within-layer recurrent connections ...
research
∙
12/22/2019
Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks
The abundant recurrent horizontal and feedback connections in the primat...
research
∙
01/25/2019
A Neurally-Inspired Hierarchical Prediction Network for Spatiotemporal Sequence Learning and Prediction
In this paper we developed a hierarchical network model, called Hierarch...
research
∙
05/22/2017
Learning to Associate Words and Images Using a Large-scale Graph
We develop an approach for unsupervised learning of associations between...
research
∙
05/22/2017
Learning Robust Object Recognition Using Composed Scenes from Generative Models
Recurrent feedback connections in the mammalian visual system have been ...
research
∙
03/31/2017
Transfer of View-manifold Learning to Similarity Perception of Novel Objects
We develop a model of perceptual similarity judgment based on re-trainin...
research
∙
11/14/2014