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Notebooks

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Simulations

Chaos Graphs

Jun 28, 25

Small Spiking Systems

Jun 28, 25

Tiny Recurrent Spiking Neural Network

May 03, 25

Boltzmann Machines

May 02, 25

Inequality Models

May 01, 25

Tiny Spiking Neural Network

Apr 27, 25

Neuron Playground

Apr 15, 25

Ising Model

Dec 12, 24

Maze Solving with Free Energy Principle

Nov 29, 24

Boids Simulation

Nov 03, 24

RSNNs with SNNTorch

Spiking Neural Network on MNIST

Primers

Primer on Backpropagation

Apr 12, 25

Backpropagation Through Time in SNNs

Apr 12, 25

Primer on Lagrangians

Apr 09, 25

Primer on Linear Algebra for Quantum

Mar 12, 25

Deriving Entropy from Self-Information

Mar 12, 25

Primer on Ordinary Differential Equations

Feb 12, 25

Primer on Partial Differential Equations

Feb 12, 25

Primer on Logarithms

Feb 01, 25

Linear Regression with Gradient Descent

Oct 12, 24

Derivation of the Boltzmann Distribution

Oct 12, 24

Primer on Common Derivatives and Integrals

Oct 12, 24

Aliens and Self-Information

Oct 01, 24

Mean Estimation with Bayesian Inference

Sep 07, 24

Cross-Entropy Loss w.r.t. Output Spike Count

Apr 15, 24

Derivation of Bayes' Theorem

Apr 15, 24

Writings

inequality

Jun 20, 25

For the Doubtbound

Jun 12, 25