Flatiron CCN Software Workshop, February 2025

Due to popular demand for the January 2025 workshop, the Flatiron Center for Computational Neuroscience has added a second session of its workshop on using open source packages to analyze neural data, happening in February 2025! This workshop is intended for neuroscientists who originally applied for the January workshop and are based in NYC.

Note that the schedule is slightly different from the January workshop: in addition to changing the week (see below), we are running from Tuesday to Thursday, will have lunch on all three days, as well as a concluding reception.

Over the course of this two-day workshop, we will teach you how to use pynapple and NeMoS to analyze, model, and visualize neural data.

Where?

In person at the Flatiron Institute, 160 5th Ave, New York, NY 10010.

📆 When?

February 4 – 6, 2025.

🤩 Interested?

Applications have closed. Watch our website for announcements of future workshops!

Important dates

Applicants notified of acceptance by November 8
Applicants must notify us of their attendance by November 18
Workshop: February 4 to 6, 2025

Logistics

The workshop will take place at the Flatiron Institute Center for Computational Neuroscience in midtown Manhattan.
We will accept approximately 30 attendees.
Lunch will be provided.

Workshop contents

Over the course of this workshop, attendees will learn how to use pynapple and NeMoS to explore and analyze electrophysiogical data, making use of real datasets. Users will:

Use pynapple to represent neural data, taking advantage of the shared time axis to perform common manipulations.
Use pynapple to characterize neural responses, e.g., compute tuning curves, cross-correlograms, power spectral densities.
Use NeMoS to fit generalized linear models to spiking data, investigating functional connectivity and comparing among possible models.

To get a sense of the material we will cover, see our workshop from FENS 2024.

Tentative schedule

Day 0 (Tues, Feb 4)
1pm – 2pm	Welcome and networking lunch
2pm – 5pm	Installation help
Day 1 (Wed, Feb 5)	pynapple
10 – 11am	Welcome and introduction to data standards
11 – 11:30am	Coffee break
11:30am – 1pm	Pynapple core
1 – 2pm	Lunch
2 – 3:30pm	Standard analyses in systems neuroscience, part 1: cross-correlations and tuning curves
3:30 – 4pm	Coffee break
4 – 5:45pm	Standard analyses in systems neuroscience, part 2: signal processing
5:45 – 6pm	fastplotlib advertisement
Day 2 (Thurs, Feb 6)	NeMoS
10 – 11am	Introduction to Generalized Linear Models (GLMs)
11 – 11:30am	Coffee break
11:30am – 1pm	Fitting a basic GLM to single neuron patch-clamp recordings
1 – 2pm	Lunch
2 – 4pm	Functional connectivity analysis of head-direction neurons
4 – 4:30pm	Coffee break
4:30 – 6pm	Feature selection and model comparison
6 – 8pm	Concluding reception