A hybrid CMOS/memristive nanoelectronic circuit for programming synaptic weights

نویسندگان

  • Arne Heittmann
  • Tobias G. Noll
چکیده

In this paper a hybrid circuit is presented which comprises nanoelectronic resistive switches based on the electrochemical memory effect (ECM) as well as devices from a standard 40nm-CMOS process. A closed ECM device model, which is based on device physics, was used for simulations allowing for a precise prediction of the expected I-V characteristics. The device is used as a non-volatile and/or programmable synapse in a neuromorphic architecture. Expected performance figures are derived such as write time as well as robustness with regard to variations of supply voltage and timing errors. The results show that ECM cells are prospective devices for hybrid neuromorphic systems.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A multiply-add engine with monolithically integrated 3D memristor crossbar/CMOS hybrid circuit

Silicon (Si) based complementary metal-oxide semiconductor (CMOS) technology has been the driving force of the information-technology revolution. However, scaling of CMOS technology as per Moore's law has reached a serious bottleneck. Among the emerging technologies memristive devices can be promising for both memory as well as computing applications. Hybrid CMOS/memristor circuits with CMOL (C...

متن کامل

A Reconfigurable FIR Filter with Memristor-Based Weights

We report on experimental demonstration of a mixed-signal 6-tap finite-impulse response (FIR) filter in which weights are implemented with titanium dioxide memristive devices. In the proposed design weight of a tap is stored with a relatively high precision in a memristive device that can be configured in field. Such approach enables efficient implementation of the most critical operation of an...

متن کامل

Pattern Classification by Memristive Crossbar Circuits with Ex-situ and In-situ Training

The development of artificial neural networks (ANNs) based on emerging non-volatile memory, such as metal oxide memristors, has attracted an increasing interest recently. In the simplest form of such ANNs, the neurons are implemented with conventional (complementary metal-oxide-semiconductor) technology and interconnected by memristors functioning as artificial synapses. We will first introduce...

متن کامل

STDP implementation using memristive nanodevice in CMOS-Nano neuromorphic networks

Implementation of a correlation-based learning rule, SpikeTiming-Dependent-Plasticity (STDP), for asynchronous neuromorphic networks is demonstrated using ‘memristive’ nanodevice. STDP is performed using locally available information at the specific moment of time, for which mapping to crossbar-based CMOS-Nano architectures, such as CMOS-MOLecular (CMOL), is done rather easily. The learning met...

متن کامل

Capacity, Fidelity, and Noise Tolerance of Associative Spatial-Temporal Memories Based on Memristive Neuromorphic Network

We have calculated the key characteristics of associative (content-addressable) spatial-temporal memories based on neuromorphic networks with restricted connectivity -"CrossNets". Such networks may be naturally implemented in nanoelectronic hardware using hybrid CMOS/memristor circuits, which may feature extremely high energy efficiency, approaching that of biological cortical circuits, at much...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012