Writing this report was one requirement of the travel grant which let me attend this conference. Having written and hyperlinked it up, I thought I’d post it in case it would be of interest to anyone. At least check out the videos!

2016 was the second time that I visited the Annual Meeting of the Organization for Human Brain Mapping, this time to present the poster 3682: Investigating human speech recognition: Reverse-engineering the machine solution with EMEG and RSA, co-authored by my colleagues at the Departments of Psychology and Engineering at Cambridge. The visit was generously supported by a Brain travel grant, for which I give my thanks.

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Hey!

I just had a paper published in PLOS Computational Biology. It’s on some work I did with the Centre for Speech, Language and the Brain at Cambridge University. In it, we used a machine model of speech recognition to map phonetic sensitivities in human auditory cortex using magnetoencephalography neuroimaging data.

The paper is open-access, so you can read it here.

If you’re interested, you can read more about the kind of research I do over at my “professional” website.

Not so long ago I had a paper published in Vision Research. It’s on some work I did some years ago with my friend and collaborator Andrew Thwaites. In it we look at the entrainment of magnetoencephalographic activity in early visual cortex to colour information in visual stimulus using two competing computational models of colour. In other words, when and where people’s brainwaves directly track the colour of moving images they were seeing on a screen, using two theories about how colour could be represented in the brain.

The paper is in Elsevier’s “open archive”, which hopefully means you can read it for free. If not, hit me up.

I don’t talk about my work too much here, but if you’re interested you can read more about what I do on my more professional website.