Details of ID4108 (Autumn 2013)
| Level: 4 | Type: Theory | Credits: 3.0 |
| Course Code | Course Name | Instructor(s) |
|---|---|---|
| ID4108 | Neurobiology | Jayasri Das Sarma |
| Syllabus |
|---|
| Cell and Molecular Biology of the Neuron
Development of nervous system: Development of nervous system (introduction and patterning of nervous system), the generation and survival of nerve cells, the guidance of axons to their targets. Synthesis and trafficking of neuronal proteins. Ion Channels, Membrane Potential and generation of Action potential Ion Channels: What are ion channels? There importance for signaling in Nervous system. Ion channels as membrane proteins, how they can be investigated using functional methods? Patch Clamp technique. Different gating pathways for opening and closing of channels. Structure of Ion channels. Different families of K+ -selective ion channels. Membrane Potentials: Resting potential and its origin. Recording membrane potential. Equilibrium potential: Nernst Equation. Passive flux of Na+ and K+ through the ion channels. Action potential, its generation after depolarization. Goldman Equation. Neuron and its equivalence to electrical circuit. Current flow in neuron. and cable theory Elementary Interactions between Neurons: Synaptic transmission: Overview of synaptic transmission; formation and regeneration of synapse, fine tuning of synaptic connections). Signaling at the nerve-Muscle Synapse: Directly Gated Transmission. Synaptic integrationModulation of synaptic-Transmission: Second messenger. Transmitter release, Neurotransmitters and Diseases of the altered Chemical Transmission. Neuroanatomy (Anatomic organization of the Central and peripheral nervous system): Gross Anatomy and general Organization of the Central nervous system. Meningial Coverings of the Brain and spinal cord. Ventricles and cerebrospinal fluid. Blood supply of the brain Plasticity and Learning: Molecular and cellular basis of learning; handing over to AB/AG: Basic Hebb rule-supervised and unsupervised learning-classical conditioning and reinforcement learning-representational learning. Complexity of the nervous system: Network Models: firing rate models - feed-forward - recurrent networks - network stability - associative memory - excitatory-inhibitory networks - stochastic networks. Neuroimaging Neurobiological Diseases |
| References |
|---|
| 1.Principles of neural science / edited by Eric R. Kandel, James H. Schwartz, Thomas M. Jessell.4th ed. New York: McGraw-Hill, Health Professions Division, c2000.
2.The human brain: an introduction to its functional anatomy / John Nolte; three-dimensional brain reconstruction by John Sundsten.5th Ed. Missouri: Mosby, c2002. |
Course Credit Options
| Sl. No. | Programme | Semester No | Course Choice |
|---|---|---|---|
| 1 | IP | 1 | Elective |
| 2 | IP | 3 | Elective |
| 3 | MS | 7 | Elective |
| 4 | RS | 1 | Elective |