ANULUM / DISCOVERY

Spikes and stochastic computing

Learn how bit streams and spike events represent information, then explore the toolkit’s existing interactive explanations.

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STEP 1

Represent a number with a bit stream

In unipolar stochastic computing, the fraction of ones represents a value between zero and one. Read how stream length and correlation affect the arithmetic.

Read the stochastic computing guide ↗

STEP 2

Understand a spiking neuron

Follow the integrate, fire and reset explanation. Compare an event-based output with a continuously evaluated numerical activation.

Read the spiking networks guide ↗

STEP 3

Change an input and observe the result

Open the interactive introduction. Change one control at a time and describe the difference. Save the settings that helped explain the idea.

Open the experiment ↗

STEP 4

Continue into code

Read the executed quickstart and its installation context. Follow its own launch instructions when you are ready to use the toolkit.

Read the quickstart notebook ↗

What represents the value in a unipolar stochastic stream?

Open glossary