2017 Publications

Conference Papers

1.         Sforazzini, F., Chen, Z., Baran, J., Bradley, J., Carey, A., Shah, N.J., Egan, G.F. MR-based attenuation map re-alignment and motion correction in simultaneous brain MR-PET imaging. Proc 14th Int Symp Biomed Imaging. 2017: Art 7950508, 231-234.

2.         Ward, P.G.D., Ferris, N.J., Raniga, P., Ng, A.C.L., Barnes, D.G., Dowe, D.L., Egan, G.F. Vein segmentation using shape-based Markov Random Fields. Proc 14th Int Symp Biomed Imaging. 2017: Art 7950716, 1133-1136.

Journal Articles

3.         Atapour, N., Rosa, M.G.P. Age-related plasticity of the axon initial segment of cortical pyramidal cells in marmoset monkeys. Neurobiol Aging. 2017; 57: 95-103.

4.         Chaplin, T.A., Allitt, B.J., Hagan, M.A., Price, N.S.C., Rajan, R., Rosa, M.G.P., Lui, L.L. Sensitivity of neurons in the middle temporal area of marmoset monkeys to random dot motion. J Neurophysiol. 2017; 118(3): 1567-1580.

5.         Cornwell, B.R., Garrido, M.I., Overstreet, C., Pine, D., Grillon, C. The Unpredictive Brain Under Threat: A Neurocomputational Account of Anxious Hypervigilance. Biol Psychiatry. 2017; 82(6): 447-454.

6.         Gamberini, M., Passarelli, L., Bakola, S., Impieri, D., Fattori, P., Rosa, M.G.P., Galletti, C. Claustral afferents of superior parietal areas PEc and PE in the macaque. J Comp Neurol. 2017; 525(6): 1475-1488.

7.         Halupka, K.J., Abbott, C.J., Wong, Y.T., Cloherty, S.L., Grayden, D.B., Burkitt, A.N., Sergeev, E.N., Luu, C.D., Brandli, A., Allen, P.J., Meffin, H., Shivdasani, M.N. Neural responses to multielectrode stimulation of healthy and degenerate retina. Invest Ophthalmol Vis Sci. 2017; 58(9): 3770-3784.

8.         Halupka, K.J., Shivdasani, M.N., Cloherty, S.L., Grayden, D.B., Wong, Y.T., Burkitt, A.N., Meffin, H. Prediction of cortical responses to simultaneous electrical stimulation of the retina. J Neural Eng. 2017; 14(1): Art 016006.

9.         Kóbor, P., Petykó, Z., Telkes, I., Martin, P.R., Buzás, P. Temporal properties of colour opponent receptive fields in the cat lateral geniculate nucleus. Eur J Neurosci. 2017; 45(11): 1368-1378.

10.      McFadyen, J., Mermillod, M., Mattingley, J.B., Halász, V., Garrido, M.I. A rapid subcortical amygdala route for faces irrespective of spatial frequency and emotion. J Neurosci. 2017; 37(14): 3864-3874.

11.      Mehta-Pandejee, G., Robinson, P.A., Henderson, J.A., Aquino, K.M., Sarkar, S. Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry. J Neurosci Meth. 2017; 283: 42-54.

12.      Nozari, M., Suzuki, T., Rosa, M.G.P., Yamakawa, K., Atapour, N. The impact of early environmental interventions on structural plasticity of the axon initial segment in neocortex. Dev Psychobiol. 2017; 59(1): 39-47.

13.      Palmer, J., Keane, A., Gong, P. Learning and executing goal-directed choices by internally generated sequences in spiking neural circuits. PLoS Comput Biol. 2017; 13(7): Art e1005669.

14.      Pietersen, A.N.J., Cheong, S.K., Munn, B., Gong, P., Martin, P.R., Solomon, S.G. Relationship between cortical state and spiking activity in the lateral geniculate nucleus of marmosets. J Physiol. 2017; 595(13): 4475-4492.

15.      Ranjbar-Slamloo, Y., Arabzadeh, E. High-velocity stimulation evokes “dense” population response in layer 2/3 vibrissal cortex. J Neurophysiol. 2017; 117(3): 1218-1228.

16.      Reser, D.H., Majka, P., Snell, S., Chan, J.M.H., Watkins, K., Worthy, K., Quiroga, M.D.M., Rosa, M.G.P. Topography of claustrum and insula projections to medial prefrontal and anterior cingulate cortices of the common marmoset (Callithrix jacchus). J Comp Neurol. 2017; 525(6): 1421-1441.

17.      Shevell, S.K., Martin, P.R. Color opponency: Tutorial. J Opt Soc Am A Opt Image Sci. 2017; 34(7): 1099-1108.

18.      Ward, P.G.D., Fan, A.P., Raniga, P., Barnes, D.G., Dowe, D.L., Ng, A.C.L., Egan, G.F. Improved quantification of cerebral vein oxygenation using partial volume correction. Front Neurosci. 2017; 11: Art 89.

19.      Ward, S.A., Raniga, P., Ferris, N.J., Woods, R.L., Storey, E., Bailey, M.J., Brodtmann, A., Yates, P.A., Donnan, G.A., Trevaks, R.E., Wolfe, R., Egan, G.F., McNeil, J.J. ASPREE-NEURO study protocol: A randomized controlled trial to determine the effect of low-dose aspirin on cerebral microbleeds, white matter hyperintensities, cognition, and stroke in the healthy elderly. Int J Stroke. 2017; 12(1): 108-113.

Review Articles

20.      Hagan, M., Rosa, M.G.P., Lui, L.L. Neural plasticity following lesions of the primate occipital lobe: The marmoset as an animal model for studies of blindsight. Dev Neurobiol. 2017; 3: 314-327.


Australian Neuroethics Network

What is Neuroethics?

Neuroethics is an internationally recognised discipline that aims to successfully translate brain research in ways that maximise social benefit while minimising harms. The need for Neuroethics was recognised by a recent US Presidential Commission for the Study of Bioethics report as part of the US BRAIN initiative. Similar projects are underway in the UK, Europe and Canada. Australia urgently needs a coordinated approach to realise the promise of neuroscience for society.

Why is Neuroethics important?

Neuroscience is revolutionising our understanding of the neural mechanisms underpinning behaviour and cognition. In doing so, neuroscience also has the potential to overturn beliefs that are central to our ideas about free will, responsibility and justice. Neurobiological explanations of mental illness may have a significant impact on stigma and discrimination associated with these disorders. These advances also raise new challenges for privacy and confidentiality. Sophisticated neuroimaging techniques and advanced machine learning algorithms are providing access to personal information that may be used by interested third parties, such as employers, educators, insurers and the courts, to discriminate against certain individuals or behaviours. Our ability to subtly manipulate brain function can have a powerful impact on our thoughts, behaviours, and sense of self. How these technologies are used and by whom are challenges that need to be urgently addressed.

Who are we?

The Australian Neuroethics Network is an interdisciplinary collaboration that brings together leading Australian practitioners in neuroscience, law, ethics, philosophy, policy-making, clinical practice, patient populations, the public and other end-users to examine the ethical and social implications of neuroscience research.

Our mission

The aim of the Australian Neuroethics Network is to:

  • support new interdisciplinary collaborations examining the ethical, legal and social challenges raised by advances in neuroscience research and technology
  • foster neuroethics scholarship in Australia and build capacity in this nascent area through teaching and postgraduate student supervision
  • provide links to international neuroethics initiatives
  • provide a platform to bring together researchers and practitioners interested in the nexus between neuroscience, ethics, philosophy, the law and policy. The Network aims to hold an annual Neuroscience and Society Conference.
  • provide recommendations and guidance to policy makers and other leading decision makers on the impact of neuroscience for Australian society.

Get involved

To join the discussion or become a member of the Australian Neuroethics Network, contact Dr Adrian Carter. Follow us on Twitter: @NeuroethicsAU


2017 Art Competition

Kids create brainy masterpieces

We want to inspire primary school children to think about how marvellous the human brain is so each year we hold an art competition during Brain Awareness Week (March). School children from around Australia are invited to create an artwork inspired by completing the thought: ‘I use my brain to…’

2017 Winners

Category 1. Foundation year (Prep) and Year 1
1st place: Stefanie K, VIC
2nd place: Tess L QLD
3rd place: Jai B, NSW

Category 2. Years 2 – 4
1st place: Ghil G, QLD           Watch Ghil talk about his win on Channel 9 News (Facebook video).
2nd place: Riley W, NSW
3rd place: Gabby F, NSW

Category 3. Years 5 – 6
1st place: Kane P, NSW
2nd place: Lok Yi L, VIC
3rd place: Amelia G, VIC

 


Contact Us

Contact Details

ARC Centre of Excellence for Integrative Brain Function
Monash University
770 Blackburn Rd, Clayton
Victoria, 3800, Australia

Email: administrator@cibf.edu.au

Phone: +61 3 9905 0100

Media Enquiries

Email: administrator@cibf.edu.au

Phone: +61 3 9905 0100

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Secondary

Prof Greg Stuart with Aniket Dhawan, the Canberra regional finalist for the 2017 ABBC.

Brain research as a potential career

We help introduce secondary students to brain research, with the aim of sparking their interest and encouraging them to pursue a career in neuroscience.

We host the annual Australian Brain Bee Challenge (ABBC) and facilitate work experience for secondary students with our collaborating organisations. We are also working with teachers to develop ways to increase brain research in the syllabus.

Secondary school teachers interested in providing opportunities for their students to learn more about the brain are encouraged to contact us.


Primary

Brain Awareness Week

As part of Brain Awareness Week 2016, we held a brain drawing competition for primary school students around Australia. The program was designed to encourage parents and teachers around Australia to talk to primary school aged children about the brain.

2016’s challenge was to create a drawing with the theme: “I use my brain to…”
Over 470 entries were received and 19 entries were shortlisted. The winning entry for each category is shown below.

Winners received a pack of brain related items and the school of the winning entry received a brain pack and $1,000 towards teaching resources. Each winning school was visited by one of our brain researchers who presented the prizes to the student and school.

Foundation/Prep – Year 1 Category
 

Winner: Seb, Prep, Victoria

Year 2-4 Category
 

Winner: Mia, Queensland

Years 5 & 6 category
Winner: Tahlia, Queensland


Education and Training

Educating our next generation

Supporting our next generation of brain researchers and sparking their desire to discover how the brain functions is at the heart of our Education Program.

We bring together neuroscientists and students, engaging them in active learning and providing resources with the latest information on how the brain functions.

We encourage primary school students to explore the brain through art, interactive brain-related activities and age-appropriate educational resources.

Secondary students are introduced to brain research through the Australian Brain Bee Challenge, with the aim of sparking their interest and encouraging them to pursue a career in neuroscience.

For Early Career Researchers (ECRs), including PhD students, we offer professional support, development and mentoring. Supporting new brain researchers is critical for retaining their scientific talents and ensuring future excellence in Australian brain research.


Decision

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Understanding decision-making

Every day we make decisions based on information captured by multiple senses, and on our internal goals. For example, when crossing the road we need to decide how to coordinate our movements to reach the destination safely and at the right time. To achieve this goal we make a guess about where the car is likely to be while we cross the road, given what we see of its trajectory and the sound it produces. Our estimate of the car’s future location is inevitably imperfect, and is combined with our experience of how fast cars encountered in the past have been travelling. For example, we may know that the car is likely to slow down if we are at a pedestrian crossing. This uncertainty places the problem of estimating the future position of the car and how and when we should move to cross the road in a statistical setting. A practical way to conceive of the problem is that the brain uses ‘rules of thumb’ that approximate statistical methods of incorporating prior knowledge and uncertainty (Bayesian theory). The aim of Centre research is to determine these rules of thumb and how they can be implemented in neural circuitry.