Please use this forum to introduce yourself!

[jeromelecoq]

If you are interested in joining this effort, please feel free to says so on this forum:

• Just state who you are and where you work.
• Explain what contributions you are interested in making

We will do our best to guide you through.

[Sarruedi]

Hi everyone, I’m Sarah Ruediger, a junior group leader at University College London. My lab is interested in how brain circuits support the learning and performance of visually guided actions. We look forward to collaborating — both by helping to analyze shared datasets and by contributing data from the lab that can complement the work being done at the Allen Institute. It is exciting to be part of a global community with shared interests and I really look forward to meeting and working with y'all.

[rcpeene]

Howdy all, I'm Carter. I'm an analyst at the Allen Institute and have been working with Jerome to collect and process and package our slap2 data into NWB. Let me know if there's any questions or suggestions for the data.

[kma-code]

Hi, I'm Kevin Max, Postdoc in comp neuro with Kenji Doya at OIST, Japan.

I'm in the "backpropagation and the brain" camp, studying network models of cortex with the aim of including as much biological detail as needed, while maintaining an understanding how such networks learn to solve complex tasks.

Because "backprop and the brain" is controversial, I want to test it against competing theories like dendritic Predictive Coding using experimental data. I think this community is interested in this as well, see e.g. a recent paper by H. Choi et al.

We are also running 2p-CA behavioral experiments with mice here at OIST. Happy to contribute and share data as it gets available.

I will not be able to attend weekly meetings due to the time shift, but please hit me up if you'd like to discuss.

[ido4848]

Hey everyone,
I'm Ido Aizenbud, a PhD Candidate in Computational Neuroscience with Idan Segev and Mickey London, The Hebrew University of Jerusalem, Israel.

My research focuses on the theoretical and computational aspects of dendritic computation, combining detailed biophysical neuron models with machine learning frameworks. I aim to characterize not only the input–output complexity of single neurons, but also their learning capabilities, the functional space they can realize, and how input encoding influences these capacities.

I’m particularly interested in collaborating on the SLAP2 dataset to dissect the types of inputs dendrites receive across spatial locations, and to explore how this organization contributes to single-neuron computation. I look forward to exchanging ideas and building collaborations within this community.

[KasparP]

Hi Ido! Welcome. I would be excited for you to participate. Happy to discuss details here on what to get started on and how best to make progress. Most of the current SLAP2 recordings have only mediocre or absent calcium signals for the output; this will improve a lot in coming months. I recommend focusing on the glutamate data, thinking about the experiments themselves (which there is still some small opportunity to expand or change), and trying out some analyses.

[KasparP]

My introduction: I'm a Scientist at the Allen Institute, my team is performing SLAP2 measurements and contributing data to the project. We are interested in how dendritic computations may (or may not) contribute to predictive processing and how patterns of input to individual neurons change across contexts.

[ido4848]

Thank you, @KasparP, and sorry for the delay.

What is the current state of data (i.e., do we now have some experiments with both glutamate and calcium?)
And what is the state-of-the-art analysis notebook I could build upon?

[jeromelecoq]

Hi Ido,
We currently have a few session with calcium and glutamate but we know that glutamate typically bleach out quickly.
It would be interested for someone to take a closer look at that. I believe some of the recent sessions have the calcium channel as well as the glutamate channel.

Some others here might have been looking at this but I have not seen recent plots on it.
I am curious whether @Dedalus9 or @lrudelt have more thoughts there.

[ido4848]

Thanks @jeromelecoq.
I'm indeed interested in taking a closer look at that.
I'll try to find a session with both calcium and glutamate.

[kshtjkumar]

Hi everyone, I’m Kshitij Kumar from IIT Kanpur. My work focuses on neuroscience and predictive processing, and I’m interested in contributing to data analysis and modeling for SLAP2 and related projects.

[jeromelecoq]

Hi Kshitij, The best way to get started is to start looking at some of our latest data.

We do have some recent SLAP2 data on the DANDI repository. Among the open questions are how the tuning properties are distributed across space.
For example, we have not analyzed receptive field location for every synapse. I would be curious to see if those receptive fields are systematically different between apical and proximal dendrites.

Hi everyone, I’m Kshitij Kumar from IIT Kanpur. My work focuses on neuroscience and predictive processing, and I’m interested in contributing to data analysis and modeling for SLAP2 and related projects.

[yuwie10]

Hello, my name is Yuwen Wu, my PhD was in molecular neurobiology but I have been working in the tech industry since 2018 as an AI/ML engineer and currently at a small startup (see my LinkedIn profile for more info). I'm interested in applying my AI/ML modeling experience to neural data and curious if there are any relevant projects I could contribute to here.

[jeromelecoq]

Hi Yuwen, Thanks for reaching out. I wonder if some members of @farznaj would be interested in working with you on the analysis of oddballs responses in our multi-units recordings.

[farznaj]

Hi all. I’m sorry for being slow. I had two upcoming deadlines in a few weeks. I’ll tell my student about this.

…

On Tue, Jan 27, 2026 at 12:26 AM Jérôme Lecoq ***@***.***> wrote: Hi Yuwen, Thanks for reaching out. I wonder if some members of @farznaj <https://github.com/farznaj> would be interested in working with you on the analysis of oddballs responses in our multi-units recordings. — Reply to this email directly, view it on GitHub <#72 (reply in thread)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ADTJ7QVVDQOZQFNS3S6W7XL4I3ZIDAVCNFSM6AAAAAB5RNCWT2VHI2DSMVQWIX3LMV43URDJONRXK43TNFXW4Q3PNVWWK3TUHMYTKNRRGM2DIMA> . You are receiving this because you were mentioned.Message ID: <AllenNeuralDynamics/openscope-community-predictive-processing/repo-discussions/72/comments/15613440 @github.com>

[GabrielaIwama]

Hi everyone!

Congratulations for the effort to create and maintain community-based project. I am a PhD student at University of Tübingen, Germany, currently working with ECoG and sEEG data from patients performing a simple predictive sequence task. I am particularly interested in sequence and sensory-motor mismatches. I am definitely on the computational side and would love to work with population dynamics and the interaction between single units and LFP. I am also happy to contribute with organizational tasks. :)

[maierav]

Welcome! I also did my PhD in Tübingen (a long time ago).

We already have data and code that can get you started on spikes and LFP, if you are interested:
https://colab.research.google.com/drive/1uKzv9i3MJoz_i7yP3A42iDWE7jsgLsG7?usp=sharing

Please do not hesitate to reach out if you have any questions.

[manavponnekanti]

Hi everyone,

I'm a BSc student in Dr Ruediger's lab. I'm attempting to map RF and investigate the topographic relationship between ROIs in dendritic space and the region of the visual field they encode.

[TimStamm]

Hi everyone, I'm Tim Stamm. I work as engineer/technician/research support at @farznaj 's lab.

I developed our lab's equipment setup for the OpenScope experiments using the existing Bonsai code. Interested in collaborating on the data analysis as well, my experience is mostly with 2-photon imaging data.

[pavi-rajes]

Hi everyone, I'm Pavi. I'm a postdoc at AI2 - Allen Institute for AI and a visiting scientist at the Allen - Neural Dynamics Institute. I'm interested to try AI tools like AutoDiscovery on this incredible dataset.

[anoushka-ch]

Hi everyone,

My name is Anoushka Chandra, I'm a rising high school senior from Seattle, currently in Hyderabad, India. I reached out to Dr. Lecoq about an independent computational project I've been developing, and he kindly invited me to join this community.

My project models the network-level consequences of complement-mediated (C4A-driven) excitatory synaptic pruning on E/I balance in cortical microcircuits. Dr. Lecoq suggested I start by working with the V1 electrophysiology datasets, which is exactly what I'm doing now.

Looking forward to contributing and learning from everyone here!

[jeromelecoq]

Welcome. Please feel free to share any plots you are making !

[yhcheah804]

Hi everyone,

My name is Yuheng Cheah and I'm an MSci student in Dr. Ruediger's lab. I'm interested in learning about electrophysiology data and would like to contribute to the data validation and quality control aspects for the data release paper.

Looking forward to learning from and working with everyone!

[VishnuSreekumar]

Hi all, I run a human memory research lab in India (www.mandalab.org). I was part of the original position paper but withdrew as I didn't feel like I was able to contribute due to other commitments, but I think I have a bit more time now. So I'm just checking in to see if you can use any input from us. I'd be interested in seeing if some propagating wave analysis can be done since people have proposed a role for waves in predictive processing. https://pmc.ncbi.nlm.nih.gov/articles/PMC6776254/ We have developed a MATLAB toolbox that can help detect various types of propagating waves in neural recordings. Any suggestions for existing datasets we could look at to see if propagating waves have a clear role in predictive processing would be greatly appreciated.

Also, we recently set up a high-density (128-channel) EEG system and would be able to contribute human EEG data if analogous experiments can be done in humans (and non-Western participants).

[aaryakarmarkar]

Hi everyone!

My name is Aarya Karmarkar, and I am a rising junior from Virginia, in the United States. I previously worked at a University of Richmond lab analyzing behavioral neuroplasticity in rats, including E/I balance in the limbic system. During my own research in BCIs, I came across more in computational neuroscience and this community-sourced project.

I would first love to learn more about current developments in the study and eventually contribute to the ROI SNR metric model.

[jeromelecoq]

Our meeting are broadly available on Youtube. If you want to contribute SNR analysis, could you join one of our weekly meeting?
Those are listed in the meeting schedule.

[anthonysego77]

Hello everyone,

I am a 4th-year graduate student at the University of Georgia in Dr. Jesse Schank's lab, where we study the role of Substance P in stress-induced alcohol consumption. I have been focusing on a specific Substance P projections from the PVT to the NAc. I have been performing translating ribosome affinity purification on Tac1-Cre mice with PVT punches to get a transcriptional profile of these neurons and using RNAscope to verify in brain tissue. I am the most computational person in the lab and have been trying to find and introduce everyone to more computational aspects and resources of research. I have relied on the Allen Brain Atlas and connectivity resources for many sources for my hypothesis and am excited to explore more resources and contribute as much as possible. Please reach out to start a conversation about collaboration or just science in general. I am open to new connections and friends. Nice to meet you all!

[jeromelecoq]

Hi Anthony,
Please feel free to attend our weekly meeting. We are currently shaping a few analysis figure for the data release manuscript.
Next week we will have a roundtable on ongoing figures and we can certainly briefly chat what would be helpful to the effort
Link is here : https://allenneuraldynamics.github.io/openscope-community-predictive-processing/meetings/2026-08-11/

[carolinehaoud]

Hi everyone, my name is Caroline. I studied computer science at Columbia University and have several years of research experience in neuroscience, computer science, and cancer research, and I’m preparing to apply to PhD programs in applied mathematics, computer science, and computational/theoretical neuroscience. I am currently a computational research assistant at Columbia.

I’d like to contribute to Project 6. I’m most interested in a well-scoped computational task involving predictive-coding or dynamical-systems models, recurrent networks, parameter fitting/cross-validation, model comparison, or reproducible analysis code. I don’t have prior experience with EEG or this project’s specialized recording methods, but I’m comfortable learning the data structure and working from the project documentation and existing code.

Is there a currently unclaimed task with a concrete deliverable, expected time commitment, and timeline? I would also appreciate knowing which planned manuscript the task would support and how contributions are documented for authorship consideration under the collaboration policy.

I’m happy to attend the Tuesday community meeting and discuss where my skills and effort could be most useful. Thank you!

[jeromelecoq]

Hi Caroline,
Please feel free to attend our weekly meeting. We are currently shaping a few analysis figure for the data release manuscript.
Next week we will have a roundtable on ongoing figures and we can certainly briefly chat what would be helpful to the effort
Link is here : https://allenneuraldynamics.github.io/openscope-community-predictive-processing/meetings/2026-08-11/

[carolinehaoud]

Great, thanks so much. I'll be there next Tuesday, cheers!

[antonio-velazquezr]

Hello Everyone,

My name is Antonio, and I am a third-year PhD student in Fatuel Tecuepetla's lab at UNAM (Mexico City).

I have done most of my work on LFP and spatially modulated oscillatory signatures of uncertainty. I also work with optogenetics, calcium imaging, and fiber photometry.

I had the opportunity to work with the predictive processing dataset at NeuroDataReHack 2026, and I would like to keep contributing.

I want to work with LFP-based error signals and how they propagate through the cortical hierarchy. I'm also open to working with other people.

[jeromelecoq]

Hi Antonio feel free to join our 9am pst meeting next week if available. Those are Public open to all.

Today we presented a centralized repo for the first manuscript on the data. The contribution guidelines are on the repo : https://github.com/AllenNeuralDynamics/openscope_p3_data_release_paper

This should facilitate. A figure on lfp data would be great !

[antonio-velazquezr]

Thanks Jerome! I'll be at the meeting next. I've started working through the LFP data (VISp and a few PFC areas so far) and I'm happy to post a discussion with some figures once I have something worth sharing — if you have any more specific suggestions on what would be most useful for the data release paper, I'd gladly incorporate that too.

[SSOLOMONUCL]

Hi my name is Sam Solomon, I am a Professor at UCL in London. I have worked on adaptation and related issues over many years. I learnt about the project through Sarah Ruediger and am excited about the aims of the project. I would love to be able to help in understanding the spiking data, especially in multi-area contexts. Looking forward to meeting you all sometime. Sam

[jeromelecoq]

Dear Sam,

Welcome. We would be excited to allow you to dive into this data.
Please feel free to join us at our next weekly meeting: https://allenneuraldynamics.github.io/openscope-community-predictive-processing/meetings/2026-08-25/

Those are regular meeting open to all. The neuropixel data is mostly packaged now and available to explore. We are working on the data release manuscript here : https://allenneuraldynamics.github.io/openscope_p3_data_release_paper/

[mariannasidiropoulou]

Hi everyone! I’m Marianna Sidiropoulou, part of the Ruediger Lab at University College London. I’ve been working on behavioural and electrophysiology experiments looking at how mice learn and adapt their behaviour during visually guided tasks. I’m especially interested in the electrophysiology side of this dataset and excited to contribute to the analysis and explore different ways of making sense of the data. Looking forward to meeting you all and collaborating with everyone! 😊