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Zhang, Kechen

Associate Professor
Som Biomedical Engineering

Traylor 407
(410) 955-3538

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  • 2017 - Present:  Adjunct Professor (Ne), SOM Neurology
  • 2016 - Present:  Associate Professor, SOM Neuroscience
  • 2013 - 2017:  Joint/Secondary Faculty, SOM Neuroscience
  • 2003 - 2015:  Assistant Professor, SOM Neuroscience


Journal Articles
  • Wang C, Zhang K (2020).  Equilibrium States and Their Stability in the Head-Direction Ring Network.  Frontiers in Computational Neuroscience.  13.
  • Huang W, Zhang K (2019).  Approximations of Shannon mutual information for discrete variables with applications to neural population coding.  Entropy.  21(3).
  • Doruk RO, Zhang K (2019).  Adaptive stimulus design for dynamic recurrent neural network models.  Frontiers in Neural Circuits.  12.
  • Monaco JD, Hwang GM, Schultz KM, Zhang K (2019).  Cognitive swarming: An approach from the theoretical neuroscience of hippocampal function.  Proceedings of SPIE - The International Society for Optical Engineering.  10982.
  • Huang W, Zhang K (2019).  An information-theoretic framework for fast and robust unsupervised learning via neural population infomax.  5th International Conference on Learning Representations, ICLR 2017 - Conference Track Proceedings.
  • Monaco JD, De Guzman RM, Blair HT, Zhang K (2019).  Spatial synchronization codes from coupled rate-phase neurons.  PLoS Computational Biology.  15(1).
  • Hedrick K, Zhang K (2018).  Analysis of an Attractor Neural Network’s Response to Conflicting External Inputs.  Journal of Mathematical Neuroscience.  8(1).
  • Tabuchi M, Monaco JD, Duan G, Bell B, Liu S, Liu Q, Zhang K, Wu MN (2018).  Clock-Generated Temporal Codes Determine Synaptic Plasticity to Control Sleep.  Cell.  175(5).  1213-1227.e18.
  • Luo J, Macias S, Ness TV, Einevoll GT, Zhang K, Moss CF (2018).  Neural timing of stimulus events with microsecond precision.  PLoS Biology.  16(10).
  • Doruk RO, Zhang K (2018).  Fitting of dynamic recurrent neural network models to sensory stimulus-response data.  Journal of Biological Physics.  44(3).  449-469.
  • Huang W, Zhang K (2018).  Information-theoretic bounds and approximations in neural population coding.  Neural Computation.  30(4).  885-944.
  • Huang W, Huang X, Zhang K (2017).  Information-theoretic interpretation of tuning curves for multiple motion directions.  2017 51st Annual Conference on Information Sciences and Systems, CISS 2017.
  • Huang W, Liu K, Zhang K (2017).  Unsupervised learning via maximizing mutual information in neural population coding.  AAAI Spring Symposium - Technical Report.  SS-17-01 - SS-17-08.  575-579.
  • Hedrick KR, Zhang K (2016).  Megamap: Flexible representation of a large space embedded with nonspatial information by a hippocampal attractor network.  Journal of Neurophysiology.  116(2).  868-891.
  • Liu CH, Coleman JE, Davoudi H, Zhang K, Hussaina Shuler MG (2015).  Selective Activation of a Putative Reinforcement Signal Conditions Cued Interval Timing in Primary Visual Cortex.  Current Biology.  25(12).  1551-1561.
  • Zhang K (2014).  How to compress sequential memory patterns into periodic oscillations: General reduction rules.  Neural Computation.  26(8).  1542-1599.
  • DiMattina C, Zhang K (2013).  Adaptive stimulus optimization for sensory systems neuroscience.  Frontiers in Neural Circuits.  (JUNE).
  • Knierim JJ, Zhang K (2012).  Attractor dynamics of spatially correlated neural activity in the limbic system.  Annual Review of Neuroscience.  35.  267-285.
  • Issa JB, Zhang K (2012).  Universal conditions for exact path integration in neural systems.  Proceedings of the National Academy of Sciences of the United States of America.  109(17).  6716-6720.
  • Welday AC, Shlifer IG, Bloom ML, Zhang K, Blair HT (2011).  Cosine directional tuning of theta cell burst frequencies: Evidence for spatial coding by oscillatory interference.  Journal of Neuroscience.  31(45).  16157-16176.
  • Monaco JD, Knierim JJ, Zhang K (2011).  Sensory feedback, error correction, and remapping in a multiple oscillator model of place-cell activity.  Frontiers in Computational Neuroscience.  5.
  • Kulkarni M, Zhang K, Kirkwood A (2011).  Single-cell persistent activity in anterodorsal thalamus.  Neuroscience Letters.  498(3).  179-184.
  • Carlson ET, Rasquinha RJ, Zhang K, Connor CE (2011).  A sparse object coding scheme in area V4.  Current Biology.  21(4).  288-293.
  • Mydlarz WK, Zhang K, Micchelli ST, Kim M, Tufano RP (2010).  Ipsilateral double parathyroid adenoma and thyroid hemiagenesis.  ORL.  72(5).  272-274.
  • DiMattina C, Zhang K (2010).  How to modify a neural network gradually without changing its input-output functionality.  Neural Computation.  22(1).  1-47.
  • Blair HT, Gupta K, Zhang K (2008).  Conversion of a phase- to a rate-coded position signal by a three-stage model of theta cells, grid cells, and place cells.  Hippocampus.  18(12).  1239-1255.
  • DiMattina C, Zhang K (2008).  How optimal stimuli for sensory neurons are constrained by network architecture.  Neural Computation.  20(3).  668-708.
  • Blair HT, Welday AC, Zhang K (2007).  Scale-invariant memory representations emerge from moiré interference between grid fields that produce theta oscillations: A computational model.  Journal of Neuroscience.  27(12).  3211-3229.
  • Zhang K, Sejnowski TJ (2001).  Accuracy and learning in neuronal populations.  Progress in Brain Research.  130.  333-342.
  • Zhang K, Sejnowski TJ (2000).  A universal scaling law between gray matter and white matter of cerebral cortex.  Proceedings of the National Academy of Sciences of the United States of America.  97(10).  5621-5626.
  • Zhang K, Sejnowski TJ (1999).  A theory of geometric constraints on neural activity for natural three- dimensional movement.  Journal of Neuroscience.  19(8).  3122-3145.
  • Zhang K, Sejnowski TJ (1999).  Neuronal tuning: To sharpen or broaden?.  Neural Computation.  11(1).  75-84.
  • Pouget A, Zhang K, Deneve S, Latham PE (1998).  Statistically Efficient Estimation Using Population Coding.  Neural Computation.  10(2).  373-401.
  • Zhang K, Ginzburg I, McNaughton BL, Sejnowski TJ (1998).  Interpreting neuronal population activity by reconstruction: Unified framework with application to hippocampal place cells.  Journal of Neurophysiology.  79(2).  1017-1044.
  • Zhang K, Ganis G, Sereno MI (1997).  Anti-Hebbian synapses as a linear equation solver.  IEEE International Conference on Neural Networks - Conference Proceedings.  1.  387-389.
  • Pouget A, Zhang K (1997).  Statistically efficient estimation using cortical lateral connection.  Advances in Neural Information Processing Systems.  97-103.
  • Zhang K (1996).  Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: A theory.  Journal of Neuroscience.  16(6).  2112-2126.
  • Zhang K (1992).  Neural networks that learn state space trajectories by 'Hebbian' rule.  Proceedings. IJCNN - International Joint Conference on Neural Networks.  976.
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