Lecture 01 : Neuron Structure

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Lecture 02 : Networks of Neurons and Synapses

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Lecture 03 : Basic Structures in the Brain

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Lecture 04 : Systems of neural processing

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Lecture 05 : Methods of Recording Neural Activity

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Lecture 06 : Membrane Potential and All or None Spike

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Lecture 07 : Patch Clamp Measurements

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Lecture 08 : Ion channels

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Lecture 09 : Current injection: Synapses

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Lecture 10 : Single Neuron Acitivity

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Lecture 11 : Point and compartmental models of neurons

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Lecture 12 : Hodgkin Huxley Equations - I

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Lecture 13 : Hodgkin Huxley Equations – II

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Lecture 14 : Reducing the HHE and Moris-Lecar Equations (MLE)

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Lecture 15 : Properties of MLE

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Lecture 16 : Phase Plane Analysis - I

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Lecture 17 : Phase Plane Analysis - II

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Lecture 18 : Phase Plane Analysis - III

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Lecture 19 : Analysing HHE with Phase Plane Analysis -I

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Lecture 20 : Analysing HHE with Phase Plane Analysis -II

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Lecture 21 : Random variables and random process

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Lecture 22 : Spike train statistics and response measure

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Lecture 23 : Receptive fields and models of receptive fields

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Lecture 24 : Stimulus to Response mapping(Coding) - I

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Lecture 25 : Stimulus to Response mapping(Coding) - II

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Lecture 26: Stimulus to Response Mapping(Coding) - III

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Lecture 27: Response to Stimulus Mapping (Decoding)

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Lecture 28: Basics of Information Theory - I

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Lecture 29: Basics of Information Theory - II

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Lecture 30: Maximally Informative Dimensions

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Lecture 31 : Intro to Discrimination based methods

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Lecture 32 : Kullback Leibler Distance

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Lecture 33 : Measuring Spike Train Distances - I

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Lecture 34 : Measuring Spike Train Distances - II

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Lecture 35 : Signal and Noise Correlations

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Lecture 36: Statistical Methods in Discrimination

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Lecture 37: Single Cell Deocoding - I: Two Alternative Forced Choice task in Monkeys

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Lecture 38: Single Cell Decoding - II: Using ROC Curves for discrimination

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Lecture 39: Single Cell Encoding - I: Operant Conditioning Task in Ferrets

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Lecture 40: Single Cell Encoding - II: Learning in avoidance and approach methods in Ferrets

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Lecture 41: Plasticity - Synaptic Transmission and Synaptic Strength

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Lecture 42: Ways of modification of Synaptic Strength

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Lecture 43: Type of Plasticity

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Lecture 44: Short Term Plasticity - I

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Lecture 45: Short Term Plasticity - II

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Lecture 46 : Long Term Plasticity

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Lecture 47 : Spike Time Dependent Plasticity

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Lecture 48 : Hebbian Plasticity

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Lecture 49 : BCM Rule

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Lecture 50 : Synaptic Normalization

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Lecture 51 : Adaptation

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Lecture 52 : Models of Short Term Plasticity

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Lecture 53 : Attention - I

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Lecture 54 : Attention - II

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Lecture 55 : Developmental Cicuits

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Lecture 56 : Optimal Coding in Visual System

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Lecture 57 : Optimal Coding in Auditory System

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Lecture 58 : Optimal Coding of Deviant Stimuli in Development

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Lecture 59 : Spike Timing Dependent Plasticity - a theoretical Perspective

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Lecture 60 : Important Problems in Neuroscience

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