A Neuromorphic CMOS Family and its Application

نویسندگان

  • Tetsuya Asai
  • Yusuke Kanazawa
  • Masayuki Ikebe
  • Yoshihito Amemiya
چکیده

Silicon circuits that mimic the nervous systems of insects and other animals represent the future of neurocomputing. They can perform various neural functions because the microstructures of a nervous system are replicated on their silicon chips. Since recent functional models of spiking neural networks tend to use spiking neurons, neuromorphic engineers have developed CMOS neural systems with several types of spiking neural circuits to investigate the effect of spike timing and synchrony on the network’s computational properties. In this report, we briefly review our recent collection of neuromorphic circuits, which we call a neuromorphic CMOS family, as well as its application to modern neural networks.

برای دانلود رایگان 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 Compact CMOS Memristor Emulator Circuit and its Applications

Conceptual memristors have recently gathered wider interest due to their diverse application in non-von Neumann computing, machine learning, neuromorphic computing, and chaotic circuits. We introduce a compact CMOS circuit that emulates idealized memristor characteristics and can bridge the gap between concepts to chip-scale realization by transcending device challenges. The CMOS memristor circ...

متن کامل

2-input Neuromorphic and Logic Gate Based on Integrate-and-fire Neuron Using Cmos Technology

This paper presents a report of a simple neural network implementation that performs a 2-input AND bolean operation. The corresponding neuromorphic circuit is based on the integrate-and-fire neuron and was realized in CMOS 0,5μm technology.

متن کامل

Bio-inspired visual signal processing based on neuromorphic circuit

This paper describes the bio-inspired visual signal processing by neuromorphic system, mimicking the primitive behaviour of visual cortex. The neuromorphic components are investigated for implementation of the visual signal selectivity of cortex, based on the CMOS conductance-based synaptic connections and neurons of Hodgkin-Huxley formalism. The proposed neuromorphic system exhibits the biolog...

متن کامل

Spin Neurons: A Possible Path to Energy-Efficient Neuromorphic Computers

Recent years have witnessed growing interest in the field of brain-inspired computing based on neural-network architectures. In order to translate the related algorithmic models into powerful, yet energy-efficient cognitive-computing hardware, computing-devices beyond CMOS may need to be explored. The suitability of such devices to this field of computing would strongly depend upon how closely ...

متن کامل

CMOS and Memristor Technologies for Neuromorphic Computing Applications

In this work, I present a CMOS implementation of a neuromorphic system that aims to mimic the behavior of biological neurons and synapses in the human brain. The synapse is modeled with a memristor-resistor voltage divider, while the neuron-emulating circuit (“CMOS Neuron”) comprises transistors and capacitors. The input aggregation and output firing characteristics of a CMOS Neuron are based o...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003