CASUAL: Introductions / Find Collaborators

[maierav]

Please feel free to introduce yourself and tell everyone a bit more about your background and interests.

[maierav]

Hi, I am Alex Maier. My background is in neurophysiology (mostly visual cortex).
I'd like to contribute to the data analysis, especially the Neuropixels data.

My python skills are limited, but I can do with help from AI. To get started, I will build on the existing jupyter/colab notebooks and post my progress over on the main site.

Please do not hesitate to get in touch if you are interested in collaborating.

[JJYma79]

Hi, I'm Yujie Ma. I am currently doing my pre-doctoral training with a focus on neural signal processing and hardware-accelerated computational methods at a Primate Comparative Neuroethology Lab.

My expertise spans neural data analysis (ECoG/sEEG/calcium imaging), and I'd be happy to contribute to data analysis.

While I'm still developing my skills and have much to learn in this complex field, I believe my experience could be useful for collaborative projects. Please don't hesitate to get in touch if you're interested in collaborating.

[jeromelecoq]

Hi Yujie, I think a good start could be to go there : #79 . I left some instructions if you want to help with one of the questions laid out with the data we have collected already.

[JJYma79]

Thank you!

[Dedalus9]

Hi, I'm Nicholas Rodriguez. I am a PhD student under Dr. Karim Oweiss. I am very interested in dendritic computation and utilizing reinforcement learning theory for modeling how dendrites contribute toward learning. I am interested in this dataset particularly to gain insight on the role of dendritic morphology on learning/predictive processing. I would be curious if anyone has experience with modeling dendritic morphology. I understand that there are packages out there including NEURON that have resources for doing this, but I haven't engaged with them in depth. Perhaps at this stage the level of detail they've incorporated in their models of dendritic morphology are not necessary.

[jeromelecoq]

Hi Nicholas, I am sure there are some folks in the group that have some experience there. Looking at the spatial distribution of oddball responses in the real data is definitely something interesting ! I am sure you could pair this with some modeling down the line.

[lrudelt]

Hi, I'm Lucas Rudelt. I am a postdoc in Viola Priesemann's lab and work on theories of dendritic predictive processing. I am interested in analyzing ophys data sets of synaptic inputs and dendritic calcium dynamics during oddballs, as well as ephys recordings from different cortical layers and interneuron types. I ran a few analyses on the SLAP2 preliminary data, with a focus on comparing responses to controls and getting a sense for whether deviant responses are enhanced, and for which types of inputs this is the case.

I would be happy to collaborate with others on further data analysis as well as stimulus design to test hypotheses for responses at the subcellular level.

Regarding modelling, we are moving from more abstract models of dendritic error computation to more detailed models of non-linear dendritic integration. Our goal is an approach where me manage to map normative approaches such as predictive processing and learning to subcellular processes on the level of dendritic branches, spines and synapses, to generate detailed testable predictions. I see some interesting overlap with @Dedalus9, so feel free to engage if you would like to discuss this further.

[Dedalus9]

Hi Lucas, I think there is overlap between our research interests. Perhaps we can schedule a zoom call to discuss further? I'll read through a few of your papers as well to get a sense for the kind of modeling work you do. Once I do that, I'll probably have a few questions for you.

[lrudelt]

Yes sure, let's do that! My mail is [email protected], I'd suggest we do any scheduling and further discussion via mail.
Looking forward!

[Dedalus9]

sounds good! I just sent you an email from [email protected]

[dimitra-maoutsa]

Hi, I’m Dimitra Maoutsa, a postdoctoral researcher. Over the past year, I’ve been developing a circuit model based on the Neuropixels Visual Behavior dataset.

Part of my current research interests lies on how top-down feedback affects local circuit computations, so I’d be very interested in contributing to the analysis of the oddball responses and the modeling work down the line.

That said, I’m currently at full capacity with ongoing commitments. I expect my schedule to ease in about a month, at which point I’d be glad to jump in and get more actively involved.

[jeromelecoq]

Hi Dimitra, Thanks for reaching out. I suspect the neuropixel data that we plan to collect might be very helpful there.
We plan to start recording it after this summer.