Kechen Zhang

Associate Professor

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Research Output 1996 2018

  • 26 Article
  • 4 Conference contribution

Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs

Hedrick, K. & Zhang, K., Dec 1 2018, In : Journal of Mathematical Neuroscience. 8, 1, 6

Research output: Contribution to journalArticle

Episodic Memory
Theoretical Models
Spatial Memory
Place Cells

Fitting of dynamic recurrent neural network models to sensory stimulus-response data

Doruk, R. O. & Zhang, K., Jun 2 2018, (Accepted/In press) In : Journal of Biological Physics. p. 1-21 21 p.

Research output: Contribution to journalArticle

Neural Networks (Computer)
Likelihood Functions
Sensory Receptor Cells

Information-theoretic bounds and approximations in neural population coding

Huang, W. & Zhang, K., Apr 1 2018, In : Neural Computation. 30, 4, p. 885-944 60 p.

Research output: Contribution to journalArticle

Convex optimization
Population Density
Computer simulation

Information-theoretic interpretation of tuning curves for multiple motion directions

Huang, W., Huang, X. & Zhang, K., May 10 2017, 2017 51st Annual Conference on Information Sciences and Systems, CISS 2017. Institute of Electrical and Electronics Engineers Inc., 7926142

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fisher information matrix
Unsupervised learning
Information theory

Unsupervised learning via maximizing mutual information in neural population coding

Huang, W., Liu, K. & Zhang, K., Jan 1 2017, SS-17-01: Artificial Intelligene for the Social Good; SS-17-02: Computational Construction Grammar and Natural Language Understanding; SS-17-03: Computational Context: Why It's Important, What It Means, and Can It Be Computed?; SS-17-04: Designing the User Experience of Machine Learning Systems; SS-17-05: Interactive Multisensory Object Perception for Embodied Agents; SS-17-06: Learning from Observation of Humans; SS-17-07: Science of Intelligence: Computational Principles of Natural and Artificial Intelligence; SS-17-08: Wellbeing AI: From Machine Learning to Subjectivity Oriented Computing. AI Access Foundation, Vol. SS-17-01 - SS-17-08, p. 575-579 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Natural language processing systems
Machine oriented languages
Computation theory
Unsupervised learning
Information theory