Kipp Freud

🍍🚀 Pynapple 0.7 is here with new signal processing features! Now filter and decompose time series of any size using wavelets. Check out the notebooks below, and join our January workshop at Flatiron to learn more. 1/4

📢New work on hippocampal assemblies & theta! nature.com/articles/s4146… It was a pleasure to work with @AleksDomanski, Nadine, Tim, @kipp_freud, @DurstewitzLab, and Matt Jones (@SleepDetectives). @SantAnnaPisa @BristolNeurosci @zi_mannheim @BernsteinNeuro 🧵[1/11]

turns out brain representations of the world can 'drift' over days-weeks, even when behaviour is stable. The causes of this drift are unclear. Here we (i.e. @kipp_freud) find that reward and sharp-wave ripples correlate better with hippocampal drift that mere time or experience

The preprint is available here: arxiv.org/abs/2402.00588

(4) The pink section is the true maze, with the green dot being the true location of the rat. Maroon is our estimated, BrainSLAM generated, "cognitive maps", with the green dot being the estimated location of the rat. On the right is true (green) and estimated (red) direction

(1) Good news! I've had a paper accepted (with @cian_neuro, @nathanlepora, and Matt W. Jones), and I'll be giving a talk on it at @AAMASconf this year 🥳🥳🥳🧠🤖🐀🥳🥳🥳

BrainSLAM: SLAM on Neural Population Activity Data Kipp Freud, Nathan Lepora, Matt W. Jones, Cian O'Donnell tl;dr: intracranial local field potential data->brains of three rats->cognitive maps kind of interesting! arxiv.org/pdf/2402.00588…

In neurophysiology people often estimate "phase coherence", ie the trial-to-trial alignment of some brain signal (EEG/MEG/LFP) to some oscillation. This is hard using frequentist stats, so Sydney Dimmock, me & @conorjh developed a better Bayesian method: elifesciences.org/articles/84602

Very happy that my first paper, LeNSE, has been accepted to #ICML2022! We leverage the idea that some subgraphs of a CO problem will contain the optimal solution. With this in mind, we learn a policy that will navigate from any random subgraph to an optimal subgraph.

First up today we have Pecha Kucha talks (short presentations) from our 2nd & 3rd yr students. How much can they fit in 20x20 second slides?! 🙂

3 of my students presenting at @neuromatch 4 Sydney on bayesian modelling for brain cell count data youtube.com/watch?v=pIX00D… Kipp on inferring cognitive maps from LFP data youtube.com/watch?v=Tthgqg… James on idea energy efficient synapses should be bayesian youtube.com/watch?v=5G8POh…

I am very honoured to be part of this amazing family of women in Robotics! 🎉 This year's and previous years' lists are such inspiring people! #WomenInRobotics #ibuildrobots

I’m excited to share that my software AstronomicAL and the corresponding paper has been published in the Journal for Open Source Software @JOSS_TheOJ . github.com/grant-m-s/astr…

'Learning offline: memory replay in biological and artificial reinforcement learning' by @EmmaRoscow, @RaymondRChua, Rui Ponte Costa @somnirons, Matt W. Jones, & @NathanLepora cell.com/trends/neurosc…

With new advances in brain imaging, early next year it will be possible to optically sample the voltage of all neurons in a 0.6x0.6x0.5 mm volume at 1 kHz. Single spike resolution of complete cortical columns (in mice)!

I'm starting to think the word "soon" doesn't mean .3 seconds after I last refreshed the page #NeurIPS2021

Happy to share that our paper is out in #eLife. We introduce a general framework for interpreting wide-band neural activity, including unsorted neural data + calcium imaging as well as ECoG signals. The paper + code and all datasets are #openaccess! elifesciences.org/articles/66551

Congratulations to @Grant_m_s (2nd Year CDT student) for giving a successful live webinar as part of @TheEDTUK (Engineering Development Trust)'s Insight into University course! Outstanding ambassador as always👏​​​​​​ linkedin.com/posts/ellen-gu…👏