Máté Aller

Postdoc at @mrccbu, Cambridge. Interested in brains, speech, and AI.

[Bradley Love @ProfData]

"Large language models surpass human experts in predicting neuroscience results" w @ken_lxl and https://t.co/YOhCmQlJsu. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. https://t.co/krtvdDqj5Q 1/6

[MRC Cognition and Brain Sciences Unit @mrccbu]

Join us for another two weeks of Cognitive Neuroimaging Skills Training In Cambridge, #COGNESTIC, 16-27 September @mrccbu. We provide training in state-of-the-art methods for open neuroimaging analysis, focussing on MRI, fMRI and EEG/MEG.
https://t.co/Y9pDYNzcXv

[Olaf Hauk @olafhauk]

@aller_mate demonstrating the @BIDSstandard pipeline in @mne_python for #EEG and #MEG analysis at #COGNESTIC, @mrccbu.

[MRC Cognition and Brain Sciences Unit @mrccbu]

There are still a few places left for #COGNESTIC 2023 @mrccbu (18-29 Sep 2023, https://t.co/lQWTzg64RN). If you are interested please get in touch with us as soon as possible, as we will allocate them on a first-come-first-serve basis

[@emilymbender.bsky.social @emilymbender]

"Their concerns aren't as existentially serious as the idea of these things getting more intelligent than us and taking over." @geoffreyhinton in this clip. Their = @timnitGebru & co.

Algorithmic border wall & other surveillance is existentially serious to its targets.
>>

[Thomas Cope @tccambs]

I am delighted to share a major collaborative study between Cambridge, Oxford, London and Newcastle that has really changed my understanding of how the brain predicts and perceives speech, and how this can go wrong in non-fluent aphasia [a thread]
https://t.co/O2Q5mawJ2D

[MaxPlanck-Psycholinguistics @MPI_NL]

Have you ever wondered what the meaning is of these little pointing gestures that your toddler uses?Research shows that these little points indicate that speech is on its way. New blog by @DilayKaradoller. https://t.co/EDo8e18M1S

[Máté Aller @aller_mate]

@ambrafer @SfNJournals @D__Richter @flodlan Congrats Ambra!

[Máté Aller @aller_mate]

@DrMattDavis @JenniRodd @Lucy_MacG @vr_poulton DALL-E 2 seems to be able to deal with this particluar one

[Greta Tuckute @GretaTuckute]

Excited to present a comprehensive analysis on the extent to which deep neural network (DNNs) can account for brain responses in the human auditory cortex! Work with @jenellefeather (co-1st) @dlboebinger @JoshHMcDermott

https://t.co/xq7zzrjaIf

[Agoston Mihalik @AgostonMihalik]

Thrilled to share our tutorial and toolkit on Canonical Correlation Analysis (CCA) and Partial Least Squares (PLS) with @chapmajw @dr_rick_adams @NilsRWinter @FSFerreir @johnshawetaylor @MouraoMiranda: https://t.co/czvEoxaBuX
https://t.co/2rTMiyERcL 1/7

[Máté Aller @aller_mate]

@jmourabarbosa Thanks, this is a great thread, I learned a lot from it!

[God bless @God_blessMerika]

It is often claimed that ‘DNN are a good model of the visual cortex’.

Three papers have come out recently that in my opinion build a serious case against this claim.

Here’s an overview:

1/11

[Máté Aller @aller_mate]

We've made the data, stimuli and code publicly available here: https://t.co/Fl3cq5tR2F and here: https://t.co/d8yjqItayT

[Máté Aller @aller_mate]

Excited to share our new MEG results on audio-visual speech perception with @hvitskygge @Lucy_MacG @BlankNeuro and @DrMattDavis now published in #JNeurosci https://t.co/tqbAeIE2M4 1/n

[MRC Cognition and Brain Sciences Unit @mrccbu]

New research from @mrccbu @unibirmingham @psychiatry_ucam @DondersInst shows that audiovisual recalibration relies on distinct spatial and decisional codes across the auditory hierarchy. Work led by @aller_mate @AgostonMihalik and Uta Noppeney: https://t.co/rVYqKoXAEt

[Máté Aller @aller_mate]

Thank you to our participants and all who helped with this project, to @ERC_Research for funding, and the editors and reviewers who guided us in writing up. 10/10

[Máté Aller @aller_mate]

Thrilled to share our latest work with @AgostonMihalik and Uta Noppeney now published in @NatureComms where we show how audiovisual recalibration relies on distinct spatial and decisional codes across the auditory processing hierarchy. https://t.co/VPiZnmPVNc 1/n

[Máté Aller @aller_mate]

In summary our results show that audiovisual recalibration relies on distinct spatial and decisional codes that are expressed with opposite gradients and time courses across the auditory processing hierarchy. 9/n