Cambridge NeuroTech

Neural Probe Techniques Webinars

Join us for a tour de force webinar series discussing a range of neuro-techniques and best practices for using our silicon neural probes in a variety of species and settings from in vitro to head-fixed to free-behaving.

Learn first-hand from experts in the field as they describe their own experimental challenges and how they successfully addressed them using our neural probes. Each webinar includes an interactive Q+A session with discussion.


In systems neuroscience, datasets are multimodal and include data-streams of various origins: multichannel electrophysiology, 1- or 2-p calcium imaging, behavior, etc. Often, the exact nature of data streams are unique to each lab, if not each project. Analyzing these datasets in an efficient and open way is crucial for collaboration and reproducibility. In this combined webinar and tutorial, Adrien Peyrache and Guillaume Viejo will present Pynapple, a Python-based data analysis pipeline for systems neuroscience. Designed for flexibility and versatility, Pynapple allows users to perform cross-modal neural data analysis via a common programming approach which facilitates easy sharing of both analysis code and data.

Pynapple Webinar : Part 1 - Introduction and Overview (June 28th)

Adrien Peyrache will start with an overview of the historical context that led to the development of  Pynapple. A brief demonstration of Pynapple, as a prelude to the more advanced tutorial session, will cover the main components of the package. Adrien will first cover the current challenges that many are facing in systems neuroscience to share data and code and the solutions that were developed to mitigate these issues. Adrien and Guillaume will then present the context that led to the development of Pynapple and provide the audience with a description of the package, especially the object-oriented approach of data analysis and the support of the Neurodata Without Border file format.


Pynapple Webinar: Part 2 - Tutorial (June 29th)

In part 2, Guillaume Viejo will provide an in-depth hands-on demo and tutorial session. This presentation will show how to use Pynapple on a couple of example datasets (electrophysiology and 1-p calcium imaging), how to design project-specific data loaders, and how to structure an analysis pipeline. Finally, Guillaume will present additional modules of the Pynapple environment, many of which are still under development but will eventually make data analysis easy for all.

To install Pynapple, please visit: Here you will find the package, installation instructions, as well as an example electrophysiological recording to test the pipeline.


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PeyracheAdrien Peyrache is an assistant professor at the Montreal Neurological Institute, McGill University. His research focuses on the organization of neuronal population activity underlying spatial navigation and memory formation. To this end, his lab uses multichannel and multi-site electrophysiological recordings, calcium imaging, and optogenetics to monitor and interrogate neuronal circuits in vivo.


Guillaume Viejo is the main developer of Pynapple and a research associate at the Peyrache lab. After completing his PhD in Computational Neuroscience at the Pierre et Marie Curie University in Paris, he moved to the Montreal Neurological Institute in 2017. He combines electrophysiology and calcium imaging in mice to study the head-direction system, a brain circuit crucial for spatial navigation. 


Catch-Up on Previous Webinars...

How often have you really been able to replicate an experiment just from the methods-section in a paper? Our expert-led webinars aim to capture and document novel techniques, insights and essential know-how for successful experiments... exactly the kind of stuff you really need to know yet can rarely find in published papers.


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