Are cortical inhibitory neurons adjusting their cellular properties to local circuits?
Omar Valerio Minero
It is known that inhibitory neurons integrate into cortical circuits following the arrival of excitatory neurons.
Past installment · NeuroDataReHack
NeuroDataReHack 2024
Generate new insights from existing neurophysiology data through secondary analysis.
- Dates
- July 8–12, 2024 · arrive Sunday, July 7
- Venue
- HHMI Janelia Research Campus, Ashburn, Virginia, United States
- Organizers
- Ben Dichter, Oliver Rübel, Ryan Ly
20
participants
16
institutions
9
countries
18
projects
5/5
overall rating
n = 20
About this year
NeuroDataReHack 2024 was the first installment held at HHMI Janelia Research Campus, which has hosted the program every summer since. Twenty participants from 16 institutions completed 18 projects over five days, spanning surface-based parcellation of high-resolution imaging data, neural state space modeling of decision-making data, cross-species comparisons of hippocampal sequence dynamics, and early experiments with pre-training foundation models on NWB data.
Before the workshop, the virtual Open Neurodata Showcase let registrants meet the contributors behind the neurophysiology datasets on DANDI and explore virtual posters. Search API tutorials from this year are in the program GitHub repository.
Instructors
Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory
International Brain Laboratory
Allen Institute for Neural Dynamics
Allen Institute for Neural Dynamics
Allen Institute for Neural Dynamics
Flatiron Institute
HHMI Janelia Research Campus
Flatiron Institute
Recordings
Talks from 2024 were not published as recordings. Slides are available in the shared folder. The event report summarizes the program and projects.
Projects
Baseline Assessment of Cell Type Effects on Interpretable Neural Latent Dynamics
Keith Van Antwerp
How do opto-tagged cell types impact brain dynamics, using state-space modeling with a Poisson hidden Markov model as the baseline?
Building forecasting benchmarks for NeuroTask dataset
Carolina Filipe
Recent studies have shown that neural dynamics are preserved in animals performing different tasks, as well as in different animals performing the same task.
Comparison of spike sorting algorithms with SpikeInterface
Kate Doxey
Spike sorting is the process of extracting the activity of individual neurons from raw extracellular multi-electrode array recordings.
Dynamical modeling of decision-making through integrated behavioral and neural analysis
Luke Gong
Using dynamical systems to unravel the latent brain dynamics underlying decision-making processes.
Emotional and Cognitive Convergence during Naturalistic Movie Watching
Amber X. Chen
Investigate the impacts of emotional processing and cognitive engagement on memory retrieval, leveraging a multimodal dataset of single neuron, iEEG and fMRI data during movie watching and recall.
Estimating Partial Coherence Networks from Neural Spike Trains
Carla Pinkney
Statistically, neural spike trains can be represented by a multivariate point process whose second order structure can be characterised via the spectral density matrix.
Exploring Effective Pre-Training for Neuroscience Foundation Models with Neurodata Without Borders and DANDI
Yunlong Xu
Explore better pretraining tasks for foundation models in neuroscience, combining contrastive and masking pretraining on large-scale datasets.
Identification and distribution of prediction error-like signals in the mouse brain
Georg Raiser
Reward prediction error signals have classically been linked to dopaminergic neurons, but recent findings have uncovered similar signals from norepinephrine releasing neurons in the locus coeruleus.
Mapping spatial receptive fields in mouse visual cortex
Xinyue Ma
Benchmark methods for estimating spatial receptive fields from two-photon calcium imaging of visual cortical neurons.
Multiscale, Supervised Reanalysis of Optogenetically Induced Behavioral Reinforcement
Jack Goffinet
It has recently been shown that optogenetically evoked dopamine release in the dorsolateral striatum can reinforce the use of short behavioral syllables in the mouse.
Neural representation of ambiguity
Sophie Rogers
How does cue ambiguity impact the dynamics of choice formation across brain regions in the IBL Brain-wide Map dataset?
Pareto Optimality to Define the Topology of Brain States
Nils Nyberg
Leverage Pareto optimality to understand trade-offs in neuronal activity space.
Revisiting stability and plasticity in hippocampal sequence firing dynamics
Miles Martinez
Hippocampal place cells need to exhibit both stability and flexibility to support navigation through the world.
Smart neuromodulation approaches for motor control
Miguel Valencia
Developing smart electrical neuromodulation approaches for controlling motor disturbances related to Parkinson's disease.
Surface-based parcellation using high-resolution ex vivo 7 tesla MRI and microscopy imaging
Pulkit Khandelwal
MRI is the standard modality to understand human brain structure and function in vivo, and ex vivo imaging now opens the door to sub-millimeter study of brain structure.
The effect of probability on the structure of neural states
Yun Chen
Does the structure of preparatory neural subspaces in motor cortex geometrically represent reach in physical space, and does the probability distribution of targets change this map?
Understanding kinetics of neuropeptide release in presynaptic terminals
Luciana Gallo
CYbSEP is a novel tool to evaluate neuropeptide release by monitoring fusion of large dense-core vesicles.
Photos
Participants said
“The Hackathon was an incredible experience. I had the opportunity to get familiar with not only NWB but also the expanding NWB ecosystem. Additionally, the week was fantastic for connecting with others working on similar topics. I established potential collaborations and learned from people working on different topics as well.”
“NeuroDataReHack 2024 is an inspiring tour of the ecosystem that NWB and DANDI have supported, including a set of useful tools, datasets, and example notebooks to work with. Great opportunities to meet the organizers who make those things happen, and to connect with other researchers interested in dataset reuse.”
“This workshop was enlightening, and I'm excited to bring these tools back to my research group and my university!”
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