Monash Symposium on Computational Neuroscience

Computational neuroscience is an interdisciplinary field that harnesses concepts and methods from physics, maths, computer science, neuroscience and psychology to address fundamental questions about brain organisation and function. This symposium brings together leading Australian and international researchers to present their latest work on mathematical modelling of brain structure and function, mapping and modelling how disease affects the brain, and how coordinated brain function gives rise to perception and cognition.
The event, sponsored by the Monash Institute of Cognitive and Clinical Neurosciences (MICCN), in partnership with the Australian Research Council Centre of Excellence for Integrative Brain Function (CIBF) and the Cooperative Research Centre for Alertness, Safety and Productivity (Alertness CRC), presents students working in all domains of science, as well as the general public, with the opportunity to engage with experts working in this exciting and rapidly developing field.

Time:
Fri, Feb 3, 2017, 9:30-5:00

Venue:
Monash Biomedical Imaging Auditorium
770 Blackburn Rd
Clayton Vic 3800

International speakers:
Prof Gustavo Deco (Pompeu Fabra University, Spain)
Prof Alex Thiele (Newcastle University, UK)

Australian speakers:
Professor Michael Breakspear, QIMR Berghofer Medical Research Institute; CIBF
Professor Peter Robinson, The University of Sydney; CIBF; Alertness CRC
Associate Professor Alex Fornito, Monash University, MICCN; CIBF
Associate Professor Nao Tsuchiya, Monash University, MICCN; CIBF
Associate Professor Jeroen van Boxtel, Monash University, MICCN
Dr Marta Garrido, Queensland Brain Institute; CIBF
Dr Andrew Phillips, Monash University, MICCN; Brigham and Women’s Hospital and Harvard
Medical School, Boston
Dr Nicholas Price, Physiology, Monash University
Dr Andrew Zalesky, Melbourne Neuropsychiatry Centre, University of Melbourne

Registration is free but compulsory to allow for appropriate catering. Register at:
https://www.eventbrite.com.au/e/miccn-computational-neuroscience-symposium-2017-tickets-29089845511

___________________________________

Alex Fornito

Associate Professor
Brain & Mental Health Laboratory
Monash Institute of Cognitive
& Clinical Neurosciences

NeuroEng 2016: 9th Australasian Workshop on Neuro-Engineering and Computational Neuroscience

Brisbane, Australia
28 – 29 November 2016

Plus an optional short course:
‘Deep Learning: An Introduction for Neuroscientists and Modellers’ on 30 November

Abstract submission now open: http://conference.qimrberghofer.edu.au/page/NeuroEng/

Venue: QIMR Berghofer Medical Research Institute, 300 Herston Rd, Herston, QLD, Australia

Bringing together researchers at the interfaces between neuroscience, engineering, physics, and psychiatry.
Topics include:   Continue reading

Postdoctoral Research Associate in Neurophysics and Brain Dynamics

ARC Centre of Excellence for Integrative Brain Function
School of Physics
Reference no. 1100/0616

  • Up to 3 positions studying multiscale, emergent, nonlinear, and critical phenomena in the brain
  • Full-time, fixed term for three years, with further offers available subject to performance, funding and need remuneration package: up to $112K pro rata p.a. which includes leave loading and up to 17% super)
  • The opportunity to work in the Brain Dynamics Group

Employment Link

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Positions at USyd (2x PhD scholarships, 1x B/C Academic staff)

A number of positions are currently available with the Complex Systems Research Group (led by Prof. Mikhail Prokopenko) in the Faculty of Engineering and IT at The University of Sydney:

1. Two PhD scholarships are available to study with Dr. Joseph Lizier in an ARC DECRA funded project. Both projects involve studying the relationship between network structure and dynamics, using information theory, with applications to neural data sets:
a. “Inferring information network structure from dynamics” — http://bit.ly/1SZdnim
b. “Describing network and information processing co-development” — http://bit.ly/24mp8Vq
Please contact Dr. Lizier with any questions. There is some flexibility in the closing date for applications (currently May 22).

2. One (3 year term) Lecturer / Senior Lecturer in Complex Systems (Level B/C) is also currently open for applications until May 8 — http://bit.ly/1qpMI1j
Research areas relating to information theory and complex networks theory will be prioritised.
Please contact Prof. Prokopenko or Dr. Lizier with any questions.

Postdoctoral Research Associate in Neurodynamics and Computational Neuroscience – University of Sydney

School of Physics, Faculty of Science
Reference no. 076/0116

  • Research focused on understanding complex neural dynamics and neural coding principles
  • Join an international research team with strong expertise in computational neuroscience
  • Full-time 2-year fixed term (possibility of extension up to 3 years, subject to performance) Remuneration package: $101k p.a. which includes leave loading and up to 17% super

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Postdoctoral Research Associate in Brain Dynamics and Computational Neuroscience – University of Sydney

Faculty of Science, University of Sydney

Reference no. 075/0116

  • Combined modelling and experimental study of spatiotemporal dynamics in brain circuits for vision
  • Join an interdisciplinary research group with expertise in theoretical analysis of neural circuit dynamics and real-time parallel measurement of activity in nerve cell populations
  • Full-time 2-year fixed term (possibility of extension up to 3 years, subject to performance) Remuneration package: $101k p.a. which includes leave loading and up to 17% super

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Complexity, Criticality and Computation (C3) Summer Research Camp

Charles Perkins Centre, The University of Sydney
November 30 – December 4, 2015
http://sydney.edu.au/perkins/events/featured-events/c3-research-camp.shtml

The study of complex systems is about understanding indirect effects. Why is it necessary to study complex systems? Humans are typically inclined to use reductionist logic. To understand how a system would behave overall, or to test whether a human-made system works as it was intended to, we put it through a series of ‘short, discrete’ scenarios, expecting a ‘correct response’ to each scenario. However, complex systems do not lend themselves to short, discrete scenarios. Not all scenarios have clear endings or known, correct answers. How do we evaluate the usability of, or predict the behaviour of systems that are too complex for our typical reductionist reasoning? The answer to this question is not intuitive or trivial, and a specific skill set needs to be developed in order to answer it.

We will consider a diverse range of systems, applications, theoretical and practical approaches to computational modelling of modern complex systems such as health, including information theory, agent-based simulation, network theory, nonlinear dynamics, swarm intelligence, evolutionary methods, computational neuroscience, and econophysics, among others. Continue reading

NeuroEng 2016 – Save the Date!

We are pleased to announce that the 9th Australasian Workshop on Neuro-Engineering and Computational Modelling (NeuroEng 2016) will be held from Thursday 24th – Saturday 26th November 2016 at the QIMR Berghofer Medical Research Institute in Brisbane. There will be an announcement about abstracts and registration in 2016. Meanwhile, email the Chair, Prof Michael Breakspear, if you have queries or suggestions.

Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems

Research Fellow Position in Mathematical Modelling and Feedback Control of Neural Systems Research Fellow Grade 2 (Level B)
NeuroEngineering Laboratory, Department of Electrical & Electronic Engineering
The University of Melbourne Australia

We seek a highly motivated person with expertise in neuroengineering, neural modelling, and control theory. The primary aim of this project is to devise and validate mathematical models of neural circuits and to developed closed-loop control algorithms for those circuits. In particular, the project will use experimental observations to derive and test transfer functions of afferent and efferent nerve activity for closed- loop control of inflammatory bowel disease.  The mathematical modelling objective will run alongside physiological experiments to derive the transfer functions that constitute the most important aspects of the system.  Continue reading

SCiNDU: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWN UNDER

qbi.uq.edu.au/scindu
December 15-17th, 2015, Queensland Brain Institute, The University of Queensland, Brisbane.
Deadline for abstracts and early registration is Oct 16th 2015.

This conference will bring together international leaders in understanding the computational principles underlying how neural circuits decode sensory information, make decisions, and learn from experience. Abstract submissions for poster presentation are welcome. Some abstracts will be selected for short talks.

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