Neuromorphic analogue VLSI.

نویسندگان

  • R Douglas
  • M Mahowald
  • C Mead
چکیده

Neuromorphic systems emulate the organization and function of nervous systems. They are usually composed of analogue electronic circuits that are fabricated in the complementary metal-oxide-semiconductor (CMOS) medium using very large-scale integration (VLSI) technology. However, these neuromorphic systems are not another kind of digital computer in which abstract neural networks are simulated symbolically in terms of their mathematical behavior. Instead, they directly embody, in the physics of their CMOS circuits, analogues of the physical processes that underlie the computations of neural systems. The significance of neuromorphic systems is that they offer a method of exploring neural computation in a medium whose physical behavior is analogous to that of biological nervous systems and that operates in real time irrespective of size. The implications of this approach are both scientific and practical. The study of neuromorphic systems provides a bridge between levels of understanding. For example, it provides a link between the physical processes of neurons and their computational significance. In addition, the synthesis of neuromorphic systems transposes our knowledge of neuroscience into practical devices that can interact directly with the real world in the same way that biological nervous systems do.

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 VLSI neuromorphic device for implementing spike-based neural networks

We present a neuromorphic VLSI device which comprises hybrid analog/digital circuits for implementing networks of spiking neurons. Each neuron integrates input currents from a row of multiple analog synaptic circuit. The synapses integrate incoming spikes, and produce output currents which have temporal dynamics analogous to those of biological post synaptic currents. The VLSI device can be use...

متن کامل

Micropower Analogue Building Blocks for Template Matching in Implantable Devices

The design of analogue low power VLSI building block is very important for implantable devices, like cochlear implants and implantable cardioverter deebril-lators(ICD). In this paper we describe the micropower analogue building blocks for implementing the template matcher used for intracardiac electrogram (ICEG) clas-siication and data compression in an ICD. These blocks were fabricated using O...

متن کامل

Synaptic Rewiring in Neuromorphic VLSI for Topographic Map Formation

OF THE TALK The term neuromorphic was coined by Carver Mead, in the late 1980s to describe Very Large Scale Integration (VLSI) systems containing electronic analog circuits that mimic neuro-biological architectures present in the nervous system. I will talk about topographic, largely neuronal maps in biology, how I've modelled their development, and how I've implemented this model in neurmorphi...

متن کامل

Design and basic blocks of a neuromorphic VLSI analogue vision system

In this paper we present a complete neuromorphic image processing system and we report the development of an integrated CMOS low-power circuit to test the feasibility of its different stages. The image system consists of different parallel-processing stages: phototransduction, non-linear filtering, oscillatory segmentation network and post-processing to extract fundamental characteristics. The ...

متن کامل

Neuromorhic Silicon Neuron and Synapse: Analog VLSI Implemetation of Biological Structures

Neuromorphic Silicon neurons and synapses are very large scale integration (VLSI) circuits that emulate or mimic the electrophysiological behavior of their biological counterparts. These analog circuits can be used for the qualitative analysis of the functioning of neural circuits; and also for making intelligent systems that can perform the tasks that can be easily performed by biolological or...

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:
  • Annual review of neuroscience

دوره 18  شماره 

صفحات  -

تاریخ انتشار 1995