Hi, I'm Michael Kwabena Mireku. I write about my machine learning research and software engineering. This blog focuses on practical insights and clear explanations of complex concepts.
You can find my code and projects on GitHub.
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Memory as Surprisal: A Relevance-Gated Learning
Framework
Exploring a bio-inspired learning framework using Convolutional Neural Networks that models memory formation through surprisal, salience, and dopamine modulation.
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Memory as Surprisal Analysis: Dopamine and What Gets Remembered
Exploring how memory functions as a surprisal analysis of cognition, with dopamine serving as the computational mechanism that determines what gets encoded into long-term memory.
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From Struggle to Discovery: Learned Helplessness, Reward
Prediction Error, and My Path to ML Research
A personal exploration of how discovering learned helplessness theory and its connection to reward prediction error in reinforcement learning transformed my understanding of my own learning struggles and ignited my passion for ML research.