#  Neuro 120 Intro to Computational Neuroscience 

 





 Semester:   Fall 

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 Year offered:  2021 

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 Link: [Course Website](https://canvas.harvard.edu/courses/93380) 

 

 

 

 This is a class I help TA/TFed in Harvard. It covered the basic computational models and relevant mathematical tools for sensory processing, neuron excitability, memory and learning etc.

- Sensory encoding, decoding, dimensionality reduction;
- Visual system, from Retina to visual hierarchy
- Single neuron models
- Recurrent Neural Networks, dynamic system, for working memory and long term memory
- Synaptic plasticity
- Reinforcement learning

 Here are some tutorials and review slides I made for the class.

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## Class Materials:

### Section 4 Encoding Model: STA, LNP

### Section 5 PCA, Decoding and Intro to Early Vision

### Section 11 Reinforcement Learning

### Section 10 Synaptic Plasticity and Hebbian Learning Rules

### Section 9 Head Direction Cells, Hopfield Network and Learning Rules

### Section 7 Dynamic System and Hodgkin-Huxley Model

### Section 6 Cortical Vision and Deep Learning

### Section 8 Recurrent Neural Networks and Linear Dynamical System



 

 

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 Attachments- [  file\_download  Section4\_brief\_conceptual\_review\_for\_hw1.pptx ](/sites/g/files/omnuum11221/files/binxuw/files/brief_conceptual_review_for_hw1_section4.pptx)
- [  picture\_as\_pdf  Section4\_brief\_conceptual\_review\_for\_hw1.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/brief_conceptual_review_for_hw1_section4.pdf)
- [  picture\_as\_pdf  Section5\_brief\_conceptual\_review\_for\_hw2.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/brief_conceptual_review_for_hw2_section5.pdf)
- [  picture\_as\_pdf  Section5\_brief\_conceptual\_review\_for\_hw2.pptx ](/sites/g/files/omnuum11221/files/binxuw/files/brief_conceptual_review_for_hw2_section5.pptx)
- [  picture\_as\_pdf  section\_11\_reinforcement\_learning.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_11_reinforcement_learning.pdf)
- [  picture\_as\_pdf  section\_10\_hebbian\_learning\_rules.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_10_hebbian_learning_rules.pdf)
- [  picture\_as\_pdf  section\_9\_head\_direction\_cells\_hopfield\_network\_and\_learning\_rules.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_9_head_direction_cells_hopfield_network_and_learning_rules.pdf)
- [  picture\_as\_pdf  section\_9\_head\_direction\_cells\_hopfield\_network\_and\_learning\_rules.pptx ](/sites/g/files/omnuum11221/files/binxuw/files/section_9_head_direction_cells_hopfield_network_and_learning_rules.pptx)
- [  picture\_as\_pdf  section\_7\_brief\_conceptual\_review\_dynamic\_system\_and\_hh\_model\_re.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_7_brief_conceptual_review_dynamic_system_and_hh_model_re.pdf)
- [  picture\_as\_pdf  section\_7\_brief\_conceptual\_review\_dynamic\_system\_and\_hh\_model.pptx ](/sites/g/files/omnuum11221/files/binxuw/files/section_7_brief_conceptual_review_dynamic_system_and_hh_model.pptx)
- [  picture\_as\_pdf  section\_6\_brief\_conceptual\_review\_cortical\_vision\_and\_deep\_learning.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_6_brief_conceptual_review_cortical_vision_and_deep_learning.pdf)
- [  picture\_as\_pdf  section\_8\_brief\_conceptual\_review\_rnn\_and\_dynamic\_system.pdf ](/sites/g/files/omnuum11221/files/binxuw/files/section_8_brief_conceptual_review_rnn_and_dynamic_system.pdf)
 
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