A Low-Power Spike-Like Neural Network Design
نویسندگان
چکیده
منابع مشابه
Low Power Clock Network Design
Power is a primary concern in modern circuits. Clock distribution networks, in particular, are an essential element of a synchronous digital circuit and a significant power consumer. Clock distribution networks are subject to clock skew due to process, voltage, and temperature (PVT) variations and load imbalances. A target skew between sequentially-adjacent registers can be obtained in a balanc...
متن کاملA New Recurrent Fuzzy Neural Network Controller Design for Speed and Exhaust Temperature of a Gas Turbine Power Plant
In this paper, a recurrent fuzzy-neural network (RFNN) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. Since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...
متن کاملA neural network-based spike discriminator.
A software routine to reconstruct individual spike trains from multi-neuron, single-channel extracellular recordings was designed. Using a neural network algorithm that automatically clusters and sorts the spikes, the only user input needed is the threshold level for spike detection and the number of unit types present in the recording. Adaptive features are included in the algorithm to allow f...
متن کاملPower efficient Spiking Neural Network Classifier based on memristive crossbar network for spike sorting application
In this paper authors have presented a power efficient scheme for implementing a spike sorting module. Spike sorting is an important application in the field of neural signal acquisition for implantable biomedical systems whose function is to map the Neural-spikes (N-spikes) correctly to the neurons from which it originates. The accurate classification is a pre-requisite for the succeeding syst...
متن کاملA Multi-Channel Low-Power System-on-Chip for in vivo Neural Spike Recording
This paper reports a multi-channel neural spike recording system-on-chip (SoC) with digital data compression and wireless telemetry. The circuit consists of a 64-channel low-power low-noise analog front-end, a single 8-bit analog-todigital converter (ADC), followed by digital signal compression and transmission units. The 400-MHz transmitter employs a Manchester-Coded Frequency Shift Keying (MC...
متن کاملذخیره 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: Electronics
سال: 2019
ISSN: 2079-9292
DOI: 10.3390/electronics8121479