Course Plan
(Spring Semester)
CBCT
BE-522: Basic Neuro-engineering (CBCT) |
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The integration of biomolecules with electronic elements to yield functional devices attracts substantial research efforts because of the basic fundamental scientific questions and the potential practical applications of the systems. The research field gained the buzzword "bioelectronics" aimed at highlighting that the world of electronics could be cross fertilized with biology and biotechnology. The major activities in the field of bioelectronics relate to the development of biosensors that transduce biorecognition or biocatalytic processes in the form of electronic signals. Neuroengineering, or more precisely Bio-neuroengineering which is inseparable part of Bioelectronics, is an interdisciplinary area, with the common goal of analyzing the function of the nervous system, developing methods to restore damaged neurological function & creating artificial neuronal systems by integrating physical, chemical, mathematical & engineering tools. The development of artificial circuit models that simulate the behavior of biological neuron is one of today's most promising directions of investigation in the field of neurobio and neuromorphic engineering. |
Objective vis-a-vis Lecture Modules |
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Modules |
Topic | Learning Objectives | |
1 |
Introduction |
Biology of the neuron, Biophysical description of the action potential, Synapses |
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2 |
Membrane |
Membrane transport, Membrane capacitance |
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3 |
Hodgkin-Huxley (H-H) Model |
H-H model of membrane, Membrane currents, Cable equation. |
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4 |
Myelinated Nerve |
Electric circuit model of myelinated nerve |
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5 |
Neural modeling |
Linear dendritic model, Varicosities & impulse conduction, Information processing in dendrites |
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6 |
Silicon model of neuron |
H-H model, synapse model, simple neuron logic gates. |
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7 |
Neuronal networks |
Neuronal networks, Neural coding |
Prerequisites of the course |
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Basic understanding of Biology, Physiology of human body and basic knowledge of electronics is desired but not essential. |
Lecture Plan |
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Tentative Lecture | Topics | ||
1 |
Introduction | ||
2-3 |
Biology of the neuron | ||
4-5 |
Biophysical description of the action potential | ||
6-8 |
Synapses: Chemical Synapse, Electrical circuit model of synapse | ||
9 |
Membrane transport | ||
10 |
Membrane capacitance | ||
11- 12 |
Hodgkin-Huxley (H-H) Model of membrane | ||
13-14 |
Membrane currents | ||
15-16 |
Cable equation | ||
17 |
Myelinated Nerve | ||
18-19 |
Electric circuit model of myelinated nerve | ||
20-21 |
Neural modeling: Linear dendritic model | ||
22-23 |
Varicosities & impulse conduction | ||
24-25 |
Information processing in dendrites | ||
26-27 |
Silicon model of neuron: H-H model | ||
28-29 |
Synapse model, simple neuron logic gates | ||
30-31 |
Neuronal networks | ||
32-33 |
Neural coding |
Pedagogy |
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Class Room Lectures
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Expected outcome |
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After completing the course BE 522, student is expected to have the basic knowledge of the Bio neuro-engineering and students are expected to work in the field of Bio-neuro-engineering as project work or as per their interest.
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Text/Reference Book |
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1. Grattarola, M.
Massobrio, G. Bioelectronics Handbook, MOSFETs, Biosensors & Neurons;
McGraw Hill 4. Metin, A. Neural Engineering; Wiley/IEEE Press,Vol 1-6 |