#!/usr/bin/env python
# coding: utf-8
#
# # Tutorial 4: Model Discussions
# **Week 1, Day 1: Model Types**
#
# **By Neuromatch Academy**
#
# __Content creators:__ Matt Laporte, Byron Galbraith, Konrad Kording
#
# __Post-production team:__ Gagana B, Spiros Chavlis
#
#
# ___
# # Tutorial Objectives
#
# *Estimated timing of tutorial: 45 minutes*
#
# In this tutorial, you will reflect on what/how/why models in a group discussion and discuss your preferences and thoughts on modeling.
# In[ ]:
# @title Tutorial slides
# @markdown These are the slides for the videos in all tutorials today
from IPython.display import IFrame
link_id = "6dxwe"
print(f"If you want to download the slides: https://osf.io/download/{link_id}/")
IFrame(src=f"https://mfr.ca-1.osf.io/render?url=https://osf.io/{link_id}/?direct%26mode=render%26action=download%26mode=render", width=854, height=480)
# ---
# # Setup
# In[ ]:
# @title Install and import feedback gadget
get_ipython().system('pip3 install vibecheck datatops --quiet')
from vibecheck import DatatopsContentReviewContainer
def content_review(notebook_section: str):
return DatatopsContentReviewContainer(
"", # No text prompt
notebook_section,
{
"url": "https://pmyvdlilci.execute-api.us-east-1.amazonaws.com/klab",
"name": "neuromatch_cn",
"user_key": "y1x3mpx5",
},
).render()
feedback_prefix = "W1D1_T4"
# ---
# # Section 1: Model discussions
#
#
# ## Think! 1: Model discussions
#
# Please spend the next **45 minutes** or so discussing the following questions.
#
# - What is your favorite model ever
# - Every student contributes one. Can not reuse the same
# - Which models when?
# - For which questions do you prefer what models?
# - How models?
# - Why models?
# - Which model kinds do you like best?
# - Why?
# - Would you be missing something if the other models did not exist?
# In[ ]:
# @title Submit your feedback
content_review(f"{feedback_prefix}_Model_discussions_Discussion")