Duane Nykamp, Ph.D.

Associate Professor, School of Mathematics

E-MAIL: nykamp@umn.edu

WEBSITE: http://www.math.umn.edu/~nykamp/

Research Interests:

Mathematical Neuroscience

  • Developing methods to characterize biological neural networks through analysis of single and multiple neuron recordings
  • Modeling the neural networks of the primary visual cortex
  • Developing efficient methods for neural network simulation

Selected Publications:

(For a comprehensive list of recent publications, refer to PubMed, a service provided by the National Library of Medicine.)

  • Kim CM, Nykamp DQ. The influence of depolarization block on seizure-like activity in networks of excitatory and inhibitory neurons. J Comput Neurosci. 2017;43(1):65-79.
  • Nykamp DQ, Friedman D, Shaker S, Shinn M, Vella M, Compte A, Roxin A. Mean-field equations for neuronal networks with arbitrary degree distributions. Phys Rev E. 2017 Apr;95(4-1):042323.
  • Wimmer K, Nykamp DQ, Constantinidis C, Compte A. Bump attractor dynamics in prefrontal cortex explains behavioral precision in spatial working memory. Nat Neurosci. 2014;17(3):431-9.
  • Day NF, Terleski KL, Nykamp DQ, Nick TA. Directed functional connectivity matures with motor learning in a cortical pattern generator. J Neurophysiol. 2013 ;109(4):913-23.
  • Zhao L, Beverlin B 2nd, Netoff T, Nykamp DQ. Synchronization from second order network connectivity statistics. Front Comput Neurosci. 2011;5:28.
  • Liu CY, Nykamp DQ. A kinetic theory approach to capturing interneuronal correlation: the feed-forward case. J Comput Neurosci. 2009 Jun;26(3):339-68.
  • Nykamp DQ. Pinpointing connectivity despite hidden nodes within stimulus-driven networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2008;78(2 Pt 1):021902.
  • Nykamp DQ. A stimulus-dependent connectivity analysis of neuronal networks. J Math Biol. 2009;59(2):147-73.
Duane Nykamp