Adaptive STDP Learning with Lateral Inhibition for Neuromorphic Systems

نویسندگان

چکیده

برای دانلود رایگان 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

STDP and STDP variations with memristors for spiking neuromorphic learning systems

In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual memristors to implement synaptic weight multiplications, in a way such that it is not necessary to (a) introduce global synchronization and (b) to separate memristor learning phases from memristor performing phases. In the ap...

متن کامل

Implementation of STDP in Neuromorphic Analog VLSI

Spike-timing-dependent plasticity (STDP), an asymmetric form of Hebbian learning, shows how synaptic strength between neurons changes corresponding to time difference between preand postspikes [1]. It is widely believed that synaptic plasticity can learn and store information of brain, so understanding STDP helps study of the process of learning in the brain. Moreover, hardware implementation o...

متن کامل

Autonomous Adaptive Brain Systems and Neuromorphic Agents

Models which embody brain design principles and mechanisms that subserve visual perception, cognition, emotion, and action have clarified how the brain can adapt in real time to changing environmental conditions. The brain’s ability to do this in a self-stabilizing fashion employs several different types of predictive mechanisms. The lack of a single such mechanism is clarified by accumulating ...

متن کامل

Adaptive Lateral Inhibition for Non-negative Ica

We consider the problem of decomposing an observed input matrix (or vector sequence) into the product of a mixing matrix with a component matrix , i.e. , where (a) the elements of the mixing matrix and the component matrix are non-negative, and (b) the underlying components are considered to be observations from an independent source. This is therefore a problem of non-negative independent comp...

متن کامل

STDP implementation using memristive nanodevice in CMOS-Nano neuromorphic networks

Implementation of a correlation-based learning rule, SpikeTiming-Dependent-Plasticity (STDP), for asynchronous neuromorphic networks is demonstrated using ‘memristive’ nanodevice. STDP is performed using locally available information at the specific moment of time, for which mapping to crossbar-based CMOS-Nano architectures, such as CMOS-MOLecular (CMOL), is done rather easily. The learning met...

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: Proceedings of International Conference on Artificial Life and Robotics

سال: 2023

ISSN: ['2188-7829', '2435-9157']

DOI: https://doi.org/10.5954/icarob.2023.os12-1