Abstract
This paper details an application-specific integrated circuit (ASIC) with an array of switched-resistor-based memristors (resistor with memory) and integrate & fire (I & F) neuron circuits for the development of memristor-based pattern recognition. Since real memristors are not commercially available, a compact memristor emulator is needed for device study. The designed ASIC has five memristor emulators with one having a conductance range from 4.88[Formula: see text]ns to 4.99[Formula: see text][Formula: see text]s (200[Formula: see text]k[Formula: see text] to 204.8[Formula: see text]M[Formula: see text]) and other four having conductance ranging from 195[Formula: see text]ns to 190[Formula: see text][Formula: see text]s (5.2[Formula: see text]k[Formula: see text] to 5.12[Formula: see text]M[Formula: see text]). Signal processing has been planned to be off-chip to get the freedom of programmability of a wide range of memristive behavior. This paper introduces the memristor emulator and the realization of synapse functionalities used in neuromorphic circuits such as long term potentiation (LTP), Long Term depression (LTD) and synaptic plasticity. The ASIC has two I & F neuron circuits which are intended to be used in conjunction with memristors in a multiple chip network for pattern recognition. This paper explains the memristor emulator, I & F neuron circuit and a respective neuromorphic system for pattern recognition simulated in LTspice. The ASIC has been fabricated in AMS 350[Formula: see text]nm process.
Highlights
The memristor wasrst postulated by Chua in 19711 as the fourth fundamental element like resistor, capacitor and inductor
This paper introduces the memristor emulator and the realization of synapse functionalities used in neuromorphic circuits such as long term potentiation (LTP), Long Term depression (LTD) and synaptic plasticity
Keeping the requirements of neuromorphic circuit in mind, an array of memristor emulators has been designed which can be used within a bigger network for the proof of concept of biologically inspired memristive learning; at the same time, any memristor model can be implemented for analyzing its impact on learning
Summary
The memristor wasrst postulated by Chua in 19711 as the fourth fundamental element like resistor, capacitor and inductor. Lots of research have been done tond such a device with nonlinear voltage–current relation and memory of applied voltages It was 2008, when a device was fabricated in the Hewlett–Packard (HP) lab which had the fundamental property of a memory–resistor, it was not based on the °ux– charge relation. This nanoscale device was TiO2-based, where the conductance changes with the applied voltage.
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