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A research-to-reproducibility library. Articles are written with a "code angle" first: concrete steps to implement, reproduce, and extend.

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2026-02-04 7 min read

#spiking-neural-networks#computational-neuroscience#neuromorphic#deep-learning

Introduction to Spiking Neural Networks

Learn how spiking neural networks mimic real brain computation with discrete spikes instead of continuous values.

2026-02-04 8 min read

#hebbian-learning#synaptic-plasticity#stdp#learning-rules#computational-neuroscience

Hebbian Learning and Synaptic Plasticity

Discover how neurons that fire together wire together - the foundational principle behind learning and memory in biological and artificial systems.

2026-02-04 8 min read

#lif-neuron#computational-neuroscience#neuron-models#spiking-neural-networks

The Leaky Integrate-and-Fire Neuron Model

Master the LIF neuron model - the workhorse of computational neuroscience that balances biological realism with mathematical tractability.

2026-02-04 9 min read

#neural-coding#rate-coding#temporal-coding#spike-trains#computational-neuroscience

Neural Coding: Rate vs Temporal Coding

Explore how the brain encodes information - through firing rates, precise spike timing, or both. The answer shapes our understanding of neural computation.

2026-02-04 8 min read

#neuromorphic-computing#hardware#loihi#spiking-neural-networks#edge-ai

Neuromorphic Computing Hardware: Building Brains in Silicon

Explore the chips designed to compute like brains - from Intel Loihi to IBM NorthPole. Learn why neuromorphic hardware could revolutionize AI efficiency.

2026-02-03 1 min read

#neural-coding#snn#tooling

Welcome: From Brain to Code

What this project is building, and how to use the simulators + pipeline.