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This course introduces quantitative approaches to understanding brain and cognitive functions
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English
English [CC]
FREE
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Description
Topics include mathematical description of neurons, the response of neurons to sensory stimuli, simple neuronal networks, statistical inference and decision making. It also covers foundational quantitative tools of data analysis in neuroscience: correlation, convolution, spectral analysis, principal components analysis, and mathematical concepts including simple differential equations and linear algebra.
Course content
- Overview and Ionic Currents Unlimited
- RC Circuit and Nernst Potential Unlimited
- Nernst Potential and Integrate and Fire Models Unlimited
- Hodgkin-Huxley Model Part 1 Unlimited
- Hodgkin-Huxley Model Part 2 Unlimited
- Dendrites Unlimited
- Synapses Unlimited
- Spike Trains Unlimited
- Receptive Fields Unlimited
- Time Series Unlimited
- Spectral Analysis Part 1 Unlimited
- Spectral Analysis Part 2 Unlimited
- Spectral Analysis Part 3 Unlimited
- Rate Models and Perceptrons Unlimited
- Matrix Operations Unlimited
- Basis Sets Unlimited
- Principal Components Analysis​ Unlimited
- Recurrent Networks Unlimited
- Neural Integrators Unlimited
- Hopfield Networks Unlimited
Instructor
Massachusetts Institute of Technology
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