Description
Our Memristor Discovery Kit is the best way to introduce yourself to the new world of memristor electronics.
The Memristor Discovery kit includes:
- Analog Discovery 2 USB oscilloscope and multi-function instrument
- Knowm Memristor Discovery V2 Board
- 1X16 W-SDC Memristor chip
- Chip Breakout board
- Cross-platform easy to install software (Mac, Windows 10 and Linux)
- 60 page user manual (provided on USB drive)
Open-source and extensible Memristor Discovery Software includes multiple experiment like ‘Hysteresis’, ‘DC’, ‘Pulse’, ‘Synapse’ and ‘Classify’.
Experiments Included
BoardCheck Experiment: Self-test the functionality of your board and memristor chips.
Hysteresis Experiment: Drive a memristor in series with a resistor with a sinusoidal or triangle waveform and observe the response as either a time series, I-V or G-V plot, revealing the signature hysteresis behavior of the memristor. The user can adjust the input signal voltage, frequency and offset and observe the response in real-time.
DC Experiment: Drive a memristor in series with a resistor with various ramping functions including sawtooth, sawtoothupdown, triangle and triangleupdown at time scale from 10 to 1000ms.
Pulse Experiment: Drive a memristor in series with a resistor with one or more tunable pulse waveforms ( Square, Sine, Triangle, etc) and observe the instantaneous and post-pulse response. The instantaneous response is displayed on the upper chart as a time series of voltage, current or conductance. The lower plot shows the conductance of the memristor, as measured by a low-voltage (.1V) read pulses. The sampling rate of these measurements can be set on the control panel.
Shelf Life Experiment: Used to measure the switching function of memristors over very long durations of time, recording the measured data into a CSV text file at specified intervals.
Synapse Experiment: Allows you to drive 8 differential synapses with elemental kT-RAM instructions and observe a continuous response in synaptic state and synaptic pair conductances via repeated read instructions.
Classify Experiment: Performs online-learning supervised classification with an eight synapse memristor neuron.
