Anthony N. Burkitt

Bio: Anthony N. Burkitt is an academic researcher from University of Melbourne. The author has contributed to research in topics: Spike-timing-dependent plasticity & Retina. The author has an hindex of 32, co-authored 238 publications receiving 3979 citations. Previous affiliations of Anthony N. Burkitt include University of Liverpool & University of Wuppertal.

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

Abstract: The integrate-and-fire neuron model describes the state of a neuron in terms of its membrane potential, which is determined by the synaptic inputs and the injected current that the neuron receives. When the membrane potential reaches a threshold, an action potential (spike) is generated. This review considers the model in which the synaptic input varies periodically and is described by an inhomogeneous Poisson process, with both current and conductance synapses. The focus is on the mathematical methods that allow the output spike distribution to be analyzed, including first passage time methods and the Fokker-Planck equation. Recent interest in the response of neurons to periodic input has in part arisen from the study of stochastic resonance, which is the noise-induced enhancement of the signal-to-noise ratio. Networks of integrate-and-fire neurons behave in a wide variety of ways and have been used to model a variety of neural, physiological, and psychological phenomena. The properties of the integrate-and-fire neuron model with synaptic input described as a temporally homogeneous Poisson process are reviewed in an accompanying paper (Burkitt in Biol Cybern, 2006).

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

Abstract: This research was supported by the Australian Research Council (http://www.arc.gov. au) through its Special Research Initiative (SRI) in Bionic Vision Science and Technology grant to Bionic Vision Australia (BVA). The Centre for Eye Research Australia (CERA) and the Bionics Institute receive Operational Infrastructure Support from the Victorian Government. CERA is also supported by a NH&MRC Centre for Clinical Research Excellence (#529923) grant – Translational Clinical Research in Major Eye Diseases (https://www.nhmrc.gov.au). RG is supported by an NHMRC practitioner fellowship (#529905). NICTA is funded by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Centre of Excellence Program (http://www.arc.gov.au/ncgp/centres/ centres_nicta.htm). Additional support for this project came from the Ian Potter Foundation (http:// www.ianpotter.org.au), John T. Reid Charitable Trusts (http://www.johntreidtrusts.com.au), Retina Australia (http://www.retinaaustralia.com.au) and the Bertalli Family Foundation (http://fbe.unimelb. edu.au/scholarships/opportunities/undergraduate/ the_bertalli_family_foundation_scholarships).

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

Abstract: High-fidelity intracranial electrode arrays for recording and stimulating brain activity have facilitated major advances in the treatment of neurological conditions over the past decade. Traditional arrays require direct implantation into the brain via open craniotomy, which can lead to inflammatory tissue responses, necessitating development of minimally invasive approaches that avoid brain trauma. Here we demonstrate the feasibility of chronically recording brain activity from within a vein using a passive stent-electrode recording array (stentrode). We achieved implantation into a superficial cortical vein overlying the motor cortex via catheter angiography and demonstrate neural recordings in freely moving sheep for up to 190 d. Spectral content and bandwidth of vascular electrocorticography were comparable to those of recordings from epidural surface arrays. Venous internal lumen patency was maintained for the duration of implantation. Stentrodes may have wide ranging applications as a neural interface for treatment of a range of neurological conditions.

Computer-Simulation Methods

Abstract: In this chapter we give a condensed introduction to the basic features of computer simulation methods. We particularly review the Monte Carlo method of importance sampling and the principles of molecular dynamics simulations. Some of the systematic effects associated with computer simulations, such as finite-size effects, statistical errors and so on, are reviewed. The Ising model is introduced in order to provide a concrete illustration of the Monte Carlo method, which will be useful also in later chapters as a simple context in which to present some of the algorithms we will discuss. It is assumed that the reader has at least some prior understanding or experience of the material covered in this chapter, since it is meant mainly as a reference base for the material addressed in subsequent chapters. For a more complete description of the material presented here we recommend referring to one of the number of books that are now available [2.1–5]. The reader embarking upon computer simulations for the first time is encouraged to consult one of these.

Critical slowing down as a biomarker for seizure susceptibility.

Abstract: The human brain has the capacity to rapidly change state, and in epilepsy these state changes can be catastrophic, resulting in loss of consciousness, injury and even death. Theoretical interpretations considering the brain as a dynamical system suggest that prior to a seizure, recorded brain signals may exhibit critical slowing down, a warning signal preceding many critical transitions in dynamical systems. Using long-term intracranial electroencephalography (iEEG) recordings from fourteen patients with focal epilepsy, we monitored key signatures of critical slowing down prior to seizures. The metrics used to detect critical slowing down fluctuated over temporally long scales (hours to days), longer than would be detectable in standard clinical evaluation settings. Seizure risk was associated with a combination of these signals together with epileptiform discharges. These results provide strong validation of theoretical models and demonstrate that critical slowing down is a reliable indicator that could be used in seizure forecasting algorithms.

I and i

Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

Principles of Neural Science

Abstract: I have developed "tennis elbow" from lugging this book around the past four weeks, but it is worth the pain, the effort, and the aspirin. It is also worth the (relatively speaking) bargain price. Including appendixes, this book contains 894 pages of text. The entire panorama of the neural sciences is surveyed and examined, and it is comprehensive in its scope, from genomes to social behaviors. The editors explicitly state that the book is designed as "an introductory text for students of biology, behavior, and medicine," but it is hard to imagine any audience, interested in any fragment of neuroscience at any level of sophistication, that would not enjoy this book. The editors have done a masterful job of weaving together the biologic, the behavioral, and the clinical sciences into a single tapestry in which everyone from the molecular biologist to the practicing psychiatrist can find and appreciate his or

Table Of Integrals Series And Products

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Stochastic Processes in Physics and Chemistry

Abstract: N G van Kampen 1981 Amsterdam: North-Holland xiv + 419 pp price Dfl 180 This is a book which, at a lower price, could be expected to become an essential part of the library of every physical scientist concerned with problems involving fluctuations and stochastic processes, as well as those who just enjoy a beautifully written book. It provides an extensive graduate-level introduction which is clear, cautious, interesting and readable.