Introduction
- Read the syllabus
- Read: Buzsaki and Draguhn, Neuronal Oscillations in Cortical Networks, Science, 2004
- Read: Riquelme and Gjorgjieva, Towards readable code in neuroscience, Nat Rev Neuro, 2021
- Read: Wing, Computational Thinking, Comm ACM, 2006
- Read: Chapter 4 (Intro to Programming) @ Cohen, Analyzing Neural Time Series Data, 2014
- Read: Chapter 37 (Themes & Advice) @ Cohen, Analyzing Neural Time Series Data, 2014
- Lecture Slides: Rhythms, Programming Habits
- Code: Intro to Python
Hopfield
- Read: Kleinfeld, Nobel honors for John Hopfield, Neuron, 2024
- Read: Imagining 2076: Connect Your Brain to the Internet, NYT, 2011
- Read: Scientists See Promise in Deep-Learning Programs, NYT, 2012
- *Bonus Read: Hopfield, Neural networks and physical systems…, PNAS, 1982
- Lecture Slides: Hopfield Part 1, Linear Algebra Part 1, Hopfield Part 2
- Code: Hopfield Examples
- Code: Linear Algebra Examples
Recurrent Neural Networks
Leaky Integrate & Fire Neuron
- Read: Abbott, Brain Res Bull, 1999
- Read: Chapter 1, pages 5-12 @ C. Koch, Biophysics of computation, 1998
- Read: Learning How Little We Know About the Brain, NYT, 2014
- Read: Relax, the Terminator Is Far Away, NYT, 2015
- Read: Barbie Wants to Get to Know Your Child, NYT, 2015
- Note Taker: LIF
- Code: LIF in Python
Hodgkin-Huxley Neuron
- Read: Chapter 2, pages 25-42 @ E. Izhikevich, Dynamical Systems in Neuroscience, 2007.
- Read: Hodgkin-Huxley 1-page cheat sheet
- Read: A Dying Young Woman’s Hope in Cryonics and a Future, NYT, 2015
- Read: The Race Is On to Control Artificial Intelligence, and Tech’s Future, NYT, 2016
- Read: When Is the Singularity? Probably Not in Your Lifetime, NYT, 2016
- Lecture Slides: HH
- Code: Hodgkin-Huxley Neuron in Python