# Neural Correspondence Mapping (NCM)
Neural Correspondence Mapping (NCM) Project Reports and Presentations

These Reports and Presentations explain the Steps taken to generate
the NCM pyton package and explore the Neural Data sources.

# Process followed

## Step 1: Understanding the Challenge
 - [x] ### [[REPORT 1](https://github.com/voytek/NCM/blob/master/Reports/Report%201.pdf)] 

## Step 2: Designing the Data Acquisition and Preparation Pipelines

- [x] ### REPORT 2 - https://github.com/voytek/NCM/blob/master/Reports/Report%202.pdf
- [x] ### PRESENTATION 1

## Step 3: Exploring Data

- [x] ### REPORT 3 - https://github.com/voytek/NCM/blob/master/Reports/Report%203.pdf

## Step 4: Defining Your Hypothesis and Minimum Viable Modeling Product

- [x] ### REPORT 4 - https://github.com/voytek/NCM/blob/master/Reports/Report%204.pdf
- [x] ### PRESENTATION 2

## Step 5: Creating a Solution Architecture for Modeling and Optimization

- [x] ### REPORT 5 - https://github.com/voytek/NCM/blob/master/Reports/Report%205.pdf

## Step 6: Modeling and Visualization

- [x] ### REPORT 6 - https://github.com/voytek/NCM/blob/master/Reports/Report%206.pdf

## Step 7: Evaluating and Interpreting Modeling Results 

- [x] ### PRESENTATION 3
- [x] ### REPORT 7 - https://github.com/voytek/NCM/blob/master/Reports/Report%207.pdf

## Step 8: Deploying a Robust and Scalable Solution 

- [ ] ### REPORT 8

## Step 9: Developing a Communication Plan and Monitoring Dashboard

- [ ] ### REPORT 9

## Step 10: Optimization 

- [ ]  ### PRESENTATION 4

- [ ]  ### REPORT 10

# FINAL REPORT AND POSTER

# FINAL PRESENTATION AND DEMO