SPSNN: nth Order Sequence-Predicting Spiking Neural Network

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A sequence machine built with an asynchronous spiking neural network

In this paper we present the design of a sequence machine, a finite state automaton that can learn and predict sequences of symbols, built out of a network of asynchronous spiking neurons. We concentrate on aspects of building synchronous systems out of asynchronous neural components, such as stability and coherence of spike bursts forming symbols.

متن کامل

Sequence Learning and Planning on Associative Spiking Neural Network

We have been building an auto/heteroassociative spiking neural network combined with a working memory model. In this model, a statedriven forward sequence and a goal-driven backward sequence on the associative network are respectively represented by a sequence of synchronous firing in a particular gamma subcycle during a theta oscillation. These forward and backward sequence firings are transmi...

متن کامل

Spiking Neural Network Architecture

ARM microprocessors are found in nearly every consumer device, from smartphones to gameboxes to e-readers and digital televisions. But did you know that, combined, these same ARM microprocessor cores can simulate the human brain? The Spiking Neural Network Architecture (SpiNNaker), a massively parallel neurocomputer architecture, aims to use more than one million ARM microprocessor cores to mod...

متن کامل

A regenerating spiking neural network

Due to their distributed architecture, artificial neural networks often show a graceful performance degradation to the loss of few units or connections. Living systems also display an additional source of fault-tolerance obtained through distributed processes of self-healing: defective components are actively regenerated. In this paper, we present results obtained with a model of development fo...

متن کامل

Evolving spiking neural network – A survey

This paper provides a comprehensive literature survey on the evolving Spiking Neural Network (eSNN) architecture since its introduction in 2006 as a further extension of the ECoS paradigm introduced by Kasabov in 1998. We summarize the functioning of the method, discuss several of its extensions and present a number of applications in which the eSNN method was employed. We focus especially on s...

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

ژورنال

عنوان ژورنال: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.3001296