[visionlist] FINAL call to register for neuroscience workshops!

[Mary]

 With just 2 weeks to go, this is the final call for participants to register for upcoming neuroscience online courses, organized by ScienceBeam Academy, as described below:
1) “Deep Dive into Event Related Potentials (ERPs) Technique” Online Course
Prospective overview of the sessions:
1. Basics of EEG signal and EEG recordings 
➢ Overview of the theory behind neural signals (History)
➢ Generation and Propagation of ERP and EEG
➢ Different EEG Recording Systems with its specifics (Amplifier, Electrodes etc.)
➢ 10/20 Electrode System, Reference, Montages, Impedance, etc.
➢ Brain Rhythms and Cognition (Based on Clinical and Research Studies) 

2. Basics of ERP Components 
➢ ERP Components (MMN, P300, N400, N170, VPP, CNV, Sensory ERP Components, etc.)
➢ Difference Wave, Forward-Inverse Problem
➢ Challenges in ERP Source Localization 
➢ Peaks and Components

3. EEG-ERP Prepossessing with Various Preprocessing Pipelines
➢ Basic Principles and Challenges
➢ Filtering, Baseline Correction, Interpolation, Artifact Rejection and Correction, Re-referencing, ICA etc.
➢ Pipelines: MAKATO, HAPPE, BEAP and etc.

4. Experimental Design
➢ Principles of Experimental design for ERP in Clinical and Research Settings
➢ Significance of Measurement Window 
➢ Common Design Problems and Solutions 
➢ Case Studies on research articles with good and bad design

5. Basic Analysis
➢ Quantifying ERP Amplitudes and Latencies 
➢ Introduction to the Analysis tool boxes (EEGLAB, ERPLAB)
➢ FFT, Time Frequency Analysis

6. Common Mistakes (in lack of parameters)
➢ Overlapping
➢ Filtering 
➢ Epoching
➢ Baseline Correction
➢ Measurement Window

• Instructor: Mrs. Pragati Gupta, M.Sc. in Neuro-psychology from Gujarat Forensic Sciences University, India and a Student Member at Indian Academy of Neuroscience
• Course Length: 7-sessions online course
• Introductory webinar: https://sciencebeam.com/erplab-webinar/ 
• Registration: https://sciencebeam.com/pragati-gupta-course/ 
o Deadline: May 5, 2021

2) “Modeling Electrophysiological Activities: From Single Neuron to Nervous Tissue” Online Course. Theoretical and experimental hands-on course including lab sessions, in which you will learn about extracellular recording from rat models and also working with single-unit and Local Field Potential (LFP) data.
Prospective overview of the sessions:
1. Session 1:
➢ Systems and complex system in neurosciences
➢ Origins of electrophysiological signals and measurements
➢ Electrophysiology and relevant features for computational modeling:
o Membrane potential
o Raster plot
o Local field potential
2. Session 2:
➢ Understanding the time evolution of the electrophysiological signals from a dynamical systems point of view.
➢ Introduction to dynamical systems for neurosciences:
o Differential equations
o Phase space representation
o Stability and domain of attraction
➢ Unidimensional and bidimensional models
o Dynamics of integrate-and-fire models
o Repertoire of 2 D models
o Reduction of Hodgkin-Huxley model
3. Session 3:
➢ 2D and Higher dimensions models:
o Particular role of the reset
o Possibility of chaos
➢ Models of synapses
➢ Limits of models:
o Biophysical and mechanistic description
o Phenomenology
➢ Introduction to the first lab session (with Brian2 simulator)
4. Session 4:
➢ First Lab Session:
o Repertoire of electrophysiological patterns
o Models of networks
o Global measure on simulations
5. Session 5:
➢ Second lab session:
o analysis of the results
o relations to the data
➢ Conclusive discussion

• Instructor: Dr. Damien Depannmaecker, Post-Doc researcher at Department of Integrative and Computational Neuroscience, Paris Saclay Institute of Neuroscience, France 
• Course Length: 5-sessions hands-on online course
• Introductory webinar: https://sciencebeam.com/modeling-electrophysiological-activities/ 
• Registration: https://sciencebeam.com/online-course-modeling-electrophysiological-activities-from-single-neuron-to-nervous-tissue/ 
o Deadline: May 20, 2021

If you require any further information, feel free to contact us: workshop at sciencebeam.com 
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