Writings
I wrote a bunch of notes during my time as a master's student in cognitive science. The program was fairly unstructured, so I found that I ended up taking courses where I didn't have some of the background knowledge, and either had to play catch up, learn a simplified version of the concepts being taught, or a combination of the two. I write about some of the topics that I wish had been explained differently here, mainly written from my software perspective. I have very little background in things like dynamical systems, chemistry, and even circuits.
From AI Ethics to Human Rights
A few thoughts after attending the Mila Summer School on Responsible AI and Human Rights.
Understanding Synaptic Plasticity Algorithms
How do synapses learn without backpropagation? A look at spike-timing-dependent plasticity.
Hodgkin Huxley Model
The electricity and biochemistry I had to learn before this model of the neuron made any sense.
Representational Similarity Analysis (RSA)
A student's guide to comparing how brains and models represent information, explained with concrete examples.