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Anthony N. Burkitt

Anthony N. Burkitt

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
4261
World Ranking
9430
National Ranking
462

Overview

Anthony N. Burkitt is affiliated with the University of Melbourne in Australia, with a primary research focus in Neuroscience. Their work encompasses a range of subfields including Cognitive Neuroscience, Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Statistical and Nonlinear Physics, and Molecular Biology.

The scientist's publications often explore topics related to Neural dynamics and brain function, EEG and Brain-Computer Interfaces, Neuroscience and Neural Engineering, Neuroscience and Neuropharmacology Research, Advanced Memory and Neural Computing, Visual perception and processing mechanisms, and Functional Brain Connectivity Studies.

Frequent coauthors of Anthony N. Burkitt include David B. Grayden, Mark Cook, Parvin Zarei Eskikand, Yanbo Lian, and Hamish Meffin. Collaboration with these researchers is reflected in multiple publications.

Burkitt has contributed extensively to several publication venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Neural Engineering
  • PLoS Computational Biology
  • arXiv (Cornell University)
  • Neural Networks

Among recent papers authored or coauthored by Burkitt are:

  • Critical slowing down as a biomarker for seizure susceptibility (2020), published in Nature Communications
  • Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience (2020), published in Journal of NeuroInterventional Surgery
  • High-Frequency Oscillations in Epilepsy (2021), published in Neurology
  • Seizure likelihood varies with day-to-day variations in sleep duration in patients with refractory focal epilepsy: A longitudinal electroencephalography investigation (2021), published in EClinicalMedicine
  • Critical dynamics arise during structured information presentation within embodied in vitro neuronal networks (2023), published in Nature Communications

Best Publications

  • Computer-Simulation Methods

    Dieter W. Heermann;Anthony N. Burkitt

  • A review of the integrate-and-fire neuron model: II. Inhomogeneous synaptic input and network properties.

    Anthony N. Burkitt

  • First-in-Human Trial of a Novel Suprachoroidal Retinal Prosthesis

    Lauren N Ayton;Peter J. Blamey;Robyn H. Guymer;Chi D Luu

  • Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity

    Thomas J Oxley;Nicholas L Opie;Sam E John;Gil S Rind;Gil S Rind

  • Critical slowing down as a biomarker for seizure susceptibility.

    Matias I Maturana;Christian Meisel;Katrina Dell;Philippa J Karoly

  • Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience

    Thomas J Oxley;Thomas J Oxley;Peter E Yoo;Peter E Yoo;Gil S Rind;Gil S Rind;Stephen M Ronayne;Stephen M Ronayne

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks IV: Structuring synaptic pathways among recurrent connections

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Lattice Fermions in Odd Dimensions

    C J Burden;A N Burkitt

  • Analysis of integrate-and-fire neurons: synchronization of synaptic input and spike output

    A. N. Burkitt;G. M. Clark

  • Temporal processing from the auditory nerve to the medial nucleus of the trapezoid body in the rat.

    Antonio G. Paolini;John V. FitzGerald;Anthony N. Burkitt;Graeme M. Clark

  • Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point

    Anthony N. Burkitt;Hamish Meffin;David B. Grayden

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Parallel algorithms in computational science

    Dieter W. Heermann;Anthony N. Burkitt

  • An Analytical Model for the ‘Large, Fluctuating Synaptic Conductance State’ Typical of Neocortical Neurons In Vivo

    Hamish Meffin;Anthony N. Burkitt;David B. Grayden

  • Shot noise in the leaky integrate-and-fire neuron.

    Nicolas Hohn;Anthony N. Burkitt

  • System size dependence of the autocorrelation time for the Swendsen-Wang Ising model

    Dieter W. Heermann;Anthony N. Burkitt

  • STDP in Recurrent Neuronal Networks.

    Matthieu Gilson;Matthieu Gilson;Anthony N. Burkitt;J. Leo van Hemmen

  • Patient-specific bivariate-synchrony-based seizure prediction for short prediction horizons

    Levin Kuhlmann;Dean Freestone;Alan Lai;Anthony N. Burkitt

  • Study of neuronal gain in a conductance-based leaky integrate-and-fire neuron model with balanced excitatory and inhibitory synaptic input

    A. N. Burkitt;H. Meffin;D. B. Grayden

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks III: Partially connected neurons driven by spontaneous activity

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. II. Input selectivity—symmetry breaking

    Matthieu Gilson;Anthony N. Burkitt;David B. Grayden;Doreen A. Thomas

  • Synchronization of the neural response to noisy periodic synaptic input

    A.N. Burkitt;G.M. Clark

  • Spike-timing-dependent plasticity for neurons with recurrent connections

    A. N. Burkitt;M. Gilson;J. L. van Hemmen

  • Closed-loop seizure control with very high frequency electrical stimulation at seizure onset in the GAERS model of absence epilepsy.

    Timothy S Nelson;Courtney L Suhr;Dean R Freestone;Alan Lai

  • Modeling extracellular electrical stimulation: I. Derivation and interpretation of neurite equations

    Hamish Meffin;Hamish Meffin;Bahman Tahayori;David B Grayden;Anthony N Burkitt

  • Balanced neurons: analysis of leaky integrate-and-fire neurons with reversal potentials.

    Anthony N. Burkitt

  • Predictive coding of visual object position ahead of moving objects revealed by time-resolved EEG decoding.

    Hinze Hogendoorn;Hinze Hogendoorn;Anthony N. Burkitt

  • High-Frequency Oscillations in Epilepsy: What Have We Learned and What Needs to be Addressed.

    Zhuying Chen;Matias I Maturana;Anthony N Burkitt;Mark J Cook

  • 25th Annual Computational Neuroscience Meeting: CNS-2016

    Tatyana O. Sharpee;Alain Destexhe;Mitsuo Kawato;Vladisla Sekulić

Frequent Co-Authors

David B. Grayden
David B. Grayden University of Melbourne
Mark J. Cook
Mark J. Cook University of Melbourne
Graeme M. Clark
Graeme M. Clark University of Melbourne
J. Leo van Hemmen
J. Leo van Hemmen Technical University of Munich
Iven Mareels
Iven Mareels IBM (United States)
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences
Terence J. O'Brien
Terence J. O'Brien Monash University
Alain Destexhe
Alain Destexhe Centre national de la recherche scientifique, CNRS
Erica L. Fletcher
Erica L. Fletcher University of Melbourne
Steven Prawer
Steven Prawer University of Melbourne

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