Please use this identifier to cite or link to this item:
http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4694
Title: | Full CMOS Circuit for Brain-Inspired Associative Memory With On-Chip Trainable Memristive STDP Synapse |
Authors: | Vohra, S K Thomas, S A. Shivdeep Sakare, M Das, D M |
Keywords: | In situ learning memristor crossbar spiketiming-dependent plasticity (STDP) spiking neural associative memory (NAM) spiking neural network (SNN) |
Issue Date: | 12-Jul-2024 |
Abstract: | Abstract: Spiking neural networks (SNNs) implemented in neuromorphic computing architectures promise a high degree of bio-plausibility and energy efficiency compared to the artificial neural network (ANN). Thus, SNN-based spiking associative memories are preferred for high capacity, area, and energy-efficient neural associative memories (NAMs). While most previously published works focused on ANN-based NAM, this work implements the full CMOS circuit of memristor crossbar-based spiking NAM for the first time. Instead of using any software-based memristive SPICE model or memristive devices that are yet not available in standard CMOS technology process design kits (PDKs), in our work, the CMOS-based memristive synapse circuit is employed to address practical circuit implementation challenges. The complete ON-chip learning of the system is demonstrated using the bio-plausible spike-timing-dependent plasticity (STDP) learning mechanism without employing any external coprocessor, e.g., microprocessor, field-programmable gate array (FPGA). The entire system is implemented at the transistor level using 180-nm standard CMOS technology to demonstrate the pattern recognition application. The robustness of the proposed circuit is also evaluated to demonstrate the tolerance against the CMOS fabrication non-idealities. |
URI: | http://dspace.iitrpr.ac.in:8080/xmlui/handle/123456789/4694 |
Appears in Collections: | Year-2023 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Full Text.pdf | 7.65 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.