PEI206: COGNITIVE ENGINEERING

 

L	T	P	Cr
3	1	0	3.5

 

Course Objectives: To understand the concepts of Cognitive Neuroscience, to enable design experiments related to Cognitive Engineering

Overview of Nervous System: Cellular components of Nervous system; Organizational Principles of Neural System: Organelles and Their Functions; Membrane Potential and Action Potential; Synaptic transmission and Cellular signalling (Basic Neurochemistry)

Introduction to Cognitive Neuroscience: General Introduction and philosophy of Mind; Cellular/Molecular Basis of Cognition; Visual perception and Object recognition; Spatial Processing and Attention; Concept Formation, Logic and Decision Making; Problem Solving, Creativity and Intelligence; Learning Memory (I) Memory Models and Short Term Memory; Learning Memory (II) Long term potentiation and Long Term Memory

Psychophysiology: Tools of physiology experimental approach; Electroencephalography for cognitive perspectives; Event related potentials (ERP) for cognitive events; Electrodermal Activity(EDA)and Cardiovascular psychophysiology; Polysomnography for Sleep research

Functional neuroimaging of cognition and Image processing: PET (Positron Emission Tomography); Concepts of NMR (Nuclear Magnetic Resonance) and fMRI (Functional MRI); DTI (Diffusion Tensor Imaging); Image processing for brain functioning

Signal Processing and Neural engineering: Physiological signals– Generation and Sensing; Biosignal acquisition; Data pre-processing; Feature Extraction; Applications: Brain Computer Interface and Neurofeedback

Research Methodology: Designing an experiment; Issues in Human research and Ethics; Statistical data analysis

 

Minor Project (if any):

Development of cognitive assessment techniques around PEBL

 

Course Learning Outcomes (CLO):

After the completion of the course the students will be able to 

1.      Acquire basic knowledge of cognitive neuroscience.

2.      Acquire basic knowledge of psychophysiology

3.      Acquire basic knowledge of functional neuroimaging of cognition and image processing

4.      Use signal processing and neural engineering in relation to cognitive engineering.

5.      Design experiments related to cognitive engineering

 

Recommended Books:

1.      Dale Purves, Neuroscience, Sinauer Associates, Inc (2001).

2.      Handbook of Psychophysiology, Cambridge University Press (2007).

3.      Michael S. Gazzaniga, The Cognitive Neurosciences, MIT, (2009).

4.      Robert L. Solso,Otto H. MacLin, M. Kimberly MacLin, Cognitive Psychology,  Pearson (2007).

5.      Petter Laake, Haakon Breien Benestad, Research Methodology in the Medical and Biological Sciences, Academic Press (2007)