For the past few months, I’ve been working on a machine learning research project, which I just submitted to NeurIPS. The scale is, all things considered, fairly small: the output limited to one paper and a handful of figures. Yet, I still needed to distribute the work along a mini-cluster in the cloud, keep track […]
As a scientist, interacting with data allows you to gain new insight into the phenomena you’re studying. If you read the New York Times, the D3 docs or you browse distill, you’ll see impressive browser-based visualizations – interactive storytelling that not only accurately represent data but bring your attention to surprising aspects of it. Making […]
In Stevenson and Kording (2011), the authors estimated that every 7.4 years, the number of neurons we can record with doubles. Think of it as Moore’s law for brain recordings. Since then, Stevenson has updated the estimate, which now stands at 6 years. Could it be that progress itself is accelerating? Matteo Carandini raised a […]
Early convolutional neural net (CNNs) architectures like the Neocognitron, LeNet and HMAX were inspired by the brain. But how much like the brain are modern CNNs? I made a pretty strong claim on Twitter a few weeks ago that the early visual processing is nothing like a CNN: In typical Twitter fashion, my statement was […]
Neuromatch Academy 2020 is a three-week online summer school in computational neuroscience that took place in July of 2020. We created interactive notebooks covering all aspects of computational neuroscience – from signals and models of spikes to machine learning and behaviour. We hired close to 200 TAs to teach this material to 1,700 students from […]
Megan Peters, Konrad Kording and the people behind neuromatch are building an online summer school for computational neuroscience (July 13 – 31st). If you’re reading this blog – chances are you should be a student in this class or a TA. It’s going to be awesome! 3 straight weeks of computational neuro education. Designed for […]
There’s a lot of interesting statistics you can do by scraping websites, whether it’s reading tables from Wikipedia, grabbing and aggregating climate change tables from government websites, or quantifying the exponential growth of covid-19 articles on Medium. Many of these pages will have easy-to-use methods to download the data in a develop-friendly format, for example […]
Reverse correlation is a tried-and-tested nonlinear systems identification method to understand biological neurons. The idea is to open the black box that is a biological neuron by using random stimuli to probe how the neuron responds. We present a series of random stimuli to a sensory neuron. By averaging those that generated a response, we […]
This was part 3 of my guide on transitioning from Matlab to Python. Read part 1: a curriculum to learn Python and part 2: choosing environments, IDEs and packages.
I was surprised by the amount of positive response to my last article on transitioning away from Matlab. Many people are ready to switch – but they’re facing some significant challenges. One of the biggest things I’ve heard beginners say is that they are overwhelmed with the number of choices they have to make with […]
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