This list serves as a record of how I’m self-learning neuroscience and its intersections with AI. There are resources listed here that aren’t about neuroscience. However, I’ve included them because they helped broaden my understanding of biology. Timeline IPR = In Progress TBD = To be done Media Type Resource Completion Date Book A Thousand Brains: A New Theory of Intelligence 2022 Book The Selfish Gene 2023 Paper Why Neurons Have Thousands of Synapses 2023 Lecture Series HTM School 2023 Paper Tolman-Eichenbaum Machine 2023 Paper A Theory of How Columns in the Neocortex Enable Learning the Structure of the World 2023 Paper Companion paper to A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex 2023 Paper A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex 2023 Paper Locations in the Neocortex: A Theory of Sensorimotor Object Recognition Using Cortical Grid Cells 2023 Paper Grid Cell Path Integration For Movement-Based Visual Object Recognition IPR Paper A thousand brains: toward biologically constrained AI TBD Paper Going Beyond the Point Neuron: Active Dendrites and Sparse Representations for Continual Learning TBD Paper Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments TBD Paper Flexible and generalizable representations of touch TBD Book The Neuroscience of Intelligence TBD Book IQ in the Meritocracy TBD Book The Age of Insight TBD Book How to Build a Brain TBD

This year was a year of chaotic growth. It also marks 1 year since I started my ML journey - looking back it’s incredible seeing what I’ve built in such a short time. I’m pumped to see what I can build in 2023. Here’s a list of my learnings of 2022: There is life beyond your bubble For years, I followed the herd. I stayed on the traditional path: Get good grades....

I’ll periodically update this with new pieces of art I come across. I don’t have a strict selection criteria to determine what art makes it on the list. Rather, I listen to my gut and my emotional response after I see it. Viktor Vasnetsov, Knight at the Crossroads, 1882. (Image source: Russian Museum, Saint Petersburg). The writing on the stone says: “If you go straight ahead, there will be no life; there is no way forward for he who travels past, walks past or flies past....

Introduction Vision forecasting is something I’ve been fascinated with so this post serves as a reflection of my understanding. This post will take you through the latest advancements in deep learning techniques used for sequential modelling, in particular with the use case of time-series vision forecasting. I’ll start with the ideas behind staple architectures, like a vanilla RNN, LSTM, and GRU, and then discuss the advancements made by their successors and why/how each new development did better than the previous one....

Overview Climatehack.ai was an international hackathon themed around fighting climate change. This post will dissect some of the thought process behind our decisions and also show methods we used to build our solution. Much credit goes to my teammates Tony Liu and Andy Cai. Background Better near-term forecasting of solar electricity generation will enable electricity grid operators around the world to do a better job of scheduling their grids. For example, the UK National Energy Grid Operator currently use a combination of solar and natural gas sources to generate power....