A Review of Spiking Neural Networks

نویسندگان

چکیده

Spiking neuron network (SNN) attaches much attention to researchers in neuromorphic engineering and brain-like computing because of its advantages Spatio-temporal dynamics, diverse coding mechanisms, event-driven properties. This paper is a review SNN order help from other areas know became familiar with the field or even interested SNN. Neuron models, methods, training algorithms, platforms will be introduced this paper. analyzes disadvantages several kinds neural learning platforms, according these propose some expected development, such as improving balance between bio-mimicry cost for compounding unsupervised algorithms SNN, digital-analog platform.

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 Review of Biologically Plausible Neuron Modelsfor Spiking Neural Networks

In this paper, five mathematical models of single neurons are discussed and compared. The physical meanings, derivations, and differential equations of each model are provided. Since for many applications the spiking rates of neurons are of great importance, we compare the spiking rate patterns under different sustained current inputs. Numerical stability and accuracy are also considered. The c...

متن کامل

A Review of Epidemic Forecasting Using Artificial Neural Networks

Background and aims: Since accurate forecasts help inform decisions for preventive health-careintervention and epidemic control, this goal can only be achieved by making use of appropriatetechniques and methodologies. As much as forecast precision is important, methods and modelselection procedures are critical to forecast precision. This study aimed at providing an overview o...

متن کامل

Modeling spiking neural networks

A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematical framework, but it can also be illustrated graphically and can be extended into a language in order to be automated. Its basic building blocks are processing entities, finer grained than neurons, connected by instant ...

متن کامل

Embedded spiking neural networks

In this paper we introduce the ongoing research at our department concerning hardware implementations of spiking neural networks on embedded systems. Our goal is to implement a spiking neural network in reconfigurable hardware, more specifically embedded systems. Keywords— Hardware neural networks, embedded sys-

متن کامل

Applications of spiking neural networks

We are pleased to introduce this issue of Information Processing Letters presenting state-of-the-art articles on Applications of Spiking Neural Networks. Spiking neural networks are a class of neural networks that is increasingly receiving attention as both a computationally powerful and biologically more plausible model of distributed computation. Much work so far has focused on fundamental is...

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: SHS web of conferences

سال: 2022

ISSN: ['2261-2424', '2416-5182']

DOI: https://doi.org/10.1051/shsconf/202214403004