Manchester Vision Network Annual Virtual Research Showcase 2021

Thursday 9 September 2021

Manchester Vision Network Research Showcase

The fourth staging of this annual event brings together researchers from a wide range of disciplines across the University and NHS Trust who share a common interest in the understanding of vision and the visual system.

Following the success of the 2020 meeting, the meeting in 2021 will again be online.

Contributions are welcomed on all topics, in the form of both posters and short (15 minutes) oral presentations.

There will be prizes of £100 for both the best oral presentation and the best poster presentation at the meeting.

One of the keynote lectures at the meeting will be given by the winner of the Janus Kulikowski Research Award (see separate section for details).

 Please send abstracts for potential contributions to chris.dickinson@manchester.ac.uk

Abstract guidelines

Download the 2021 abstract booklet.

Abstract deadline extended to 10 August 2021

Abstracts should be submitted as Word documents to chris.dickinson@manchester.ac.uk with the subject line “MVN Abstract submission”.

You may submit more than one abstract, and can select your preference for poster or oral presentation. The final decision on mode of presentation will be made by the organisers.

The submitting author is required to ensure that all co-authors are aware of the content of the abstract before submission.

Preparing your submission

If you include references in your abstract, you must provide the full citation and this will be included in the word count. The format of each abstract should be:

  • Abstract title – limited to 20 words;
  • Names of authors, with presenting author indicated;
  • Brief affiliation of each author.

The text of the Abstract is limited to a total of 200 words. It should be divided into the following sections:

  • Background
  • Methods
  • Results
  • Significance

Please consider the multi-disciplinary nature of the audience to ensure that your abstract is accessible to all.

Oral presentations

These will be scheduled as 12 minutes for the presentation, and 3 minutes for discussion.

Poster presentations

These will be scheduled as 5 minutes for the presentation and 5 minutes for questions.

The presentation will be a single PowerPoint slide, and you will present your slide in the same way as if discussing this with a visitor to a physical poster.

Janus Kulikowski Research Award 2021

The Manchester Vision Network is pleased to welcome nominations for the annual award for the most outstanding research output from a researcher working within the Network.

The award of £250 is open to postgraduate students, post-doctoral researchers, and research fellows. The research output will usually be in the form of a published academic paper, but other equivalent outputs will be considered. The 2021 award will be for outputs published in the 2020 calendar year. 

Nominations for the award can be made by the researcher themselves, or by a colleague on their behalf. The nomination should include:

  • a copy of the paper or other output;
  • a short commentary on the particular contribution of the nominee, why the output is particularly significant, and where the work fits within the nominee’s career progression.

Please send nominations to chris.dickinson@manchester.ac.uk by 15 June 2021. The winner will be notified by 1 August 2021, and will be required to deliver a keynote lecture (online) at the annual meeting on 9 September 2021.   

About Professor Janus Kulikowski

The annual award is named in honour of Professor Janus Kulikowski, an internationally renowned vision scientist who spent much of his career working in Manchester, beginning in what was then the Department of Ophthalmic Optics at UMIST, through to his continuing research activity (despite his ‘retirement’ in 2002) in the Division of Pharmacy and Optometry.

Professor Kulikowski helped to put Manchester Vision Sciences on the world stage. He is most famous for contributing to the understanding of how the brain analyses spatial information. He used animal models, human electrophysiology, and psychophysics to explain how the retina packages visual information for analysis by different regions of the visual brain.

More recently he has written a series of papers on the physiological organisation of colour information. Like many in the late 1990s, he was fascinated by how higher-primate visual systems simultaneously code spatial and wavelength information with such high resolution and fidelity, an issue that remains of continuing interest to the community. 

He has published more than 250 papers, 17 of which have over 100 citations and in total have accumulated over 7,000 citations.

Learn more about Professor Kulikowski:

Registration

Register in advance for this meeting:

After registering, you will receive a confirmation email containing information about joining the meeting.

Workshop: Sensory processing, action selection and learning (10 September)

Date: Friday 10 September 2021
Time: 3pm-6pm (BST), 2pm-5pm (UTC)

A fundamental challenge for neuroscience is linking neural circuits to behaviours.

This workshop describes recent advances in understanding cell types, neural codes, neural circuits and motor actions underlying ethologically relevant behaviours such as visual exploration, visual learning, hunting and predator avoidance.

This is a free online event open to all, featuring the following talks:

  • Retina processing of single photons and its behavioural consequences (Prof Petri Ala-Laurila, University of Helsinki)
  • The effects of neuronal degeneration on visual plasticity (Prof Samuel Solomon, University College London)
  • Neural circuitries and plasticity of approach behaviours (Prof Jennifer Hoy, University of Nevada, Reno)
  • Behavioural modulation of visual processing (Dr Riccardo Storchi, University of Manchester)
  • Active selection of ambient illumination (Dr Beatriz Bano Otalora, University of Manchester)
  • Visual acuity in diurnal and nocturnal animals (Dr Rose Richardson, University of Manchester)

Register now