We would like to invite you to a virtual workshop on the Human Neocortical Neurosolver (HNN), jointly organized by the Stephanie Jones Lab and MetaCell, scheduled for May 8th. The workshop is aimed at researchers and clinicians with an interest in neuroscience but without formal computational modeling or coding experience. It will offer a detailed exploration of HNN, a tool designed to interpret the neural origins of human MEG/EEG data.
Workshop Highlights:
The workshop will take place online on Wednesday, May 8th from 9am to noon ET. The number of participants will be limited to ensure a productive learning environment. Given the specialized nature of this workshop, we anticipate high interest. To secure your participation, we recommend signing up as soon as possible. A registration fee of $25.00 is required to help us cover the costs of organizing the event. Register here >>
About the Workshop Content:
MEG/EEG signals are critical to our understanding of both healthy and pathological brain functions, but interpreting these signals at the cellular and circuit levels remains challenging. The HNN software was developed to address this challenge, providing both a graphical and a programmable Python interface to an anatomically detailed model of neocortical circuits. The workshop will offer practical tutorials to guide participants through the process of using HNN to explore the origins of sensory ERPs and low-frequency brain rhythms.
We look forward to your participation in this workshop, which promises to be an enriching experience for those looking to enhance their skills in computational neuroscience and the interpretation of MEG/EEG data.
Click here to find out more and save your place >>
Workshop Highlights:
- Comprehensive Overview: The workshop will begin with a didactic presentation on the background and development of HNN, providing a foundation for its application in neuroscience research.
- Practical Application: Participants will learn how to utilize the HNN graphical user interface (GUI) to investigate the circuit origins of commonly measured signals, including event-related potentials (ERPs) and low-frequency brain rhythms.
- Advanced Interface Training: Discover how to use the HNN-core Python interface.
The workshop will take place online on Wednesday, May 8th from 9am to noon ET. The number of participants will be limited to ensure a productive learning environment. Given the specialized nature of this workshop, we anticipate high interest. To secure your participation, we recommend signing up as soon as possible. A registration fee of $25.00 is required to help us cover the costs of organizing the event. Register here >>
About the Workshop Content:
MEG/EEG signals are critical to our understanding of both healthy and pathological brain functions, but interpreting these signals at the cellular and circuit levels remains challenging. The HNN software was developed to address this challenge, providing both a graphical and a programmable Python interface to an anatomically detailed model of neocortical circuits. The workshop will offer practical tutorials to guide participants through the process of using HNN to explore the origins of sensory ERPs and low-frequency brain rhythms.
We look forward to your participation in this workshop, which promises to be an enriching experience for those looking to enhance their skills in computational neuroscience and the interpretation of MEG/EEG data.
Click here to find out more and save your place >>
Best regards,
Paolo Lenotti
on behalf of MetaCell & the Stephanie Jones Lab
