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/
• 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:
• Membrane potential
• Raster plot
• 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:
• Differential equations
• Phase space representation
• Stability and domain of attraction
• Unidimensional and bidimensional models
• Dynamics of integrate-and-fire models
• Repertoire of 2 D models
• Reduction of Hodgkin-Huxley model

3. Session 3:

• 2D and Higher dimensions models:

• Particular role of the reset
• Possibility of chaos

• Models of synapses
• Limits of models:
• Biophysical and mechanistic description
• Phenomenology

• Introduction to the first lab session (with Brian2 simulator)

4. Session 4:

• First Lab Session:
• Repertoire of electrophysiological patterns
• Models of networks
• Global measure on simulations

5. Session 5:

• Second lab session:
• analysis of the results
• 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/
• Deadline: May 20, 2021

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