Time Window, Spike Time and Threshold Boundary for Spiking Neural Network Applications

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

Spike-Time Dependant Plasticity in a Spiking Neural Network for Robot Path Planning

Abstract. This paper will present a path planning technique for autonomous mobile robot, based on the representation of the environment as a cognitive map through a spiking neural network (SNN) of O’Keefe place cells. The method is based on the concept of the travelling wave. For this purpose, we use a biologically plausible neural model (Izhikevitch model) which is the medium of a travelling w...

متن کامل

Real-Time Spiking Neural Network: An Adaptive Cerebellar Model

A spiking neural network modeling the cerebellum is presented. The model, consisting of more than 2000 conductance-based neurons and more than 50 000 synapses, runs in real-time on a dual-processor computer. The model is implemented on an event-driven spiking neural network simulator with table-based conductance and voltage computations. The cerebellar model interacts every millisecond with a t...

متن کامل

Hardware spiking neural network with run-time reconfigurable connectivity in

A cellular hardware implementation of a spiking neural network with run-time reconfigurable connectivity is presented. It is implemented on a compact custom FPGA board which provides a powerful reconfigurable hardware platform for hardware and software design. Complementing the system, a CPU synthesized on the FPGA takes care of interfacing the network with the external world. The FPGA board an...

متن کامل

Real-time computing platform for spiking neurons (RT-spike)

A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is adopted that uses both software and hardware components to manage the tradeoff between flexibility and computational power; the neuron model is implemented in hardware and the network model and the learning are implemented in software. The incremental transition of t...

متن کامل

Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting

In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using resistive random access memory (RRAM) technology for the implementation of synapses whose low latency (<1μs) enables real-time spike sorting. This offers promising advantages to conv...

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: Journal of Applied Sciences

سال: 2014

ISSN: 1812-5654

DOI: 10.3923/jas.2014.317.324