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Anthony N. Burkitt: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Anthony N. Burkitt
    Optimised Attractor Neural Networks with External Inputs. [Citation Graph (0, 0)][DBLP]
    IWANN, 1993, pp:167-172 [Conf]
  2. Anthony N. Burkitt, J. Leo van Hemmen
    How synapses in the auditory system wax and wane: theoretical perspectives. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2003, v:89, n:5, pp:318-332 [Journal]
  3. Anthony N. Burkitt, Hamish Meffin, David B. Grayden
    Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2003, v:89, n:2, pp:119-125 [Journal]
  4. Anthony N. Burkitt
    A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2006, v:95, n:2, pp:97-112 [Journal]
  5. Anthony N. Burkitt
    A Review of the Integrate-and-fire Neuron Model: I. Homogeneous Synaptic Input. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2006, v:95, n:1, pp:1-19 [Journal]
  6. Anthony N. Burkitt
    Interspike interval variability for balanced networks with reversal potentials for large numbers of inputs. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:313-321 [Journal]
  7. Anthony N. Burkitt
    An information-theoretic analysis of the coding of a periodic synaptic input by integrate-and-fire neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:69-74 [Journal]
  8. Anthony N. Burkitt, Graeme M. Clark
    Analysis of synchronization in the response of neurons to noisy periodic synaptic input. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:67-75 [Journal]
  9. Anthony N. Burkitt, Graeme M. Clark
    New technique for analyzing integrate and fire neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:26, n:, pp:93-99 [Journal]
  10. Anthony N. Burkitt, Hamish Meffin, David B. Grayden
    Gain modulation and balanced synaptic input in a conductance-based neural model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:221-226 [Journal]
  11. Hamish Meffin, Anthony N. Burkitt, David B. Grayden
    Dynamically adjustable contrast enhancement from cortical background activity. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:633-639 [Journal]
  12. Levin Kuhlmann, Anthony N. Burkitt, Antonio Paolini, Graeme M. Clark
    Summation of Spatiotemporal Input Patterns in Leaky Integrate-and-Fire Neurons: Application to Neurons in the Cochlear Nucleus Receiving Converging Auditory Nerve Fiber Input. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Neuroscience, 2002, v:12, n:1, pp:55-73 [Journal]
  13. Anthony N. Burkitt, Graeme M. Clark
    Calculation of Interspike Intervals for Integrate-and-Fire Neurons with Poisson Distribution of Synaptic Inputs. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:8, pp:1789-1820 [Journal]
  14. Anthony N. Burkitt, Graeme M. Clark
    Synchronization of the Neural Response to Noisy Periodic Synaptic Input. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:12, pp:2639-2672 [Journal]
  15. Anthony N. Burkitt, Hamish Meffin, David B. Grayden
    Spike-Timing-Dependent Plasticity: The Relationship to Rate-Based Learning for Models with Weight Dynamics Determined by a Stable Fixed Point. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:5, pp:885-94 [Journal]
  16. Anthony N. Burkitt, Graeme M. Clark
    Analysis of Integrate-and-Fire Neurons: Synchronization of Synaptic Input and Spike Output. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1999, v:11, n:4, pp:871-901 [Journal]
  17. D. W. Heermann, Anthony N. Burkitt
    Parallelization of the Ising model and its performance evaluation. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 1990, v:13, n:3, pp:345-357 [Journal]
  18. Anthony N. Burkitt, M. Gilson, J. Leo van Hemmen
    Spike-timing-dependent plasticity for neurons with recurrent connections. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2007, v:96, n:5, pp:533-546 [Journal]
  19. Anthony N. Burkitt
    Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials. [Citation Graph (0, 0)][DBLP]
    Biological Cybernetics, 2001, v:85, n:4, pp:247-255 [Journal]

  20. Spike-Timing Dependent Plasticity in Recurrently Connected Networks with Fixed External Inputs. [Citation Graph (, )][DBLP]


  21. Observability issues in networked clocks with applications to epilepsy. [Citation Graph (, )][DBLP]


  22. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity-strengthening correlated input pathways. [Citation Graph (, )][DBLP]


  23. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity. [Citation Graph (, )][DBLP]


  24. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity - symmetry breaking. [Citation Graph (, )][DBLP]


  25. Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV. [Citation Graph (, )][DBLP]


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