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This paper presents a modified Izhikevich neuron model replacing complex multiplication and division operations with simple binary-based shift operations.
Abstract— This paper presents a modified Izhikevich neuron model replacing complex multiplication and division operations with simple binary-based shift ...
This paper presents the implementation of a multilayer neural network with finite physical quantities on a FPGA. The FPGA implementation extensively reduces ...
This proposed modelworks in a low-cost state to achieve a correct digital implementation of the Izhikevich model, one of the main neuron models (i.e. decreasing ...
Aug 6, 2018 · The Izhikevich's simple model (ISM) for neural activity presents a good compromise between waveform quality and computational cost. FPGAs ...
Here for large scale simulations of the Izhikevich model we explore the expediency of using FPGAs. It has been observed that due to the accuracy, efficiency, ...
From this perspective, this paper describes an efficient implementation of a realistic spiking neuron model on a Field Programmable Gate. Array (FPGA). A ...
A modularized processing element is developed to evaluate a large number of Izhikevich spiking neurons in a pipelined manner and indicates that FPGAs are ...
In this paper, we present a highly combinational, low latency implementation of ISM for FPGA. In the absence of official benchmark to compare different ...
Feb 28, 2024 · This section discusses hardware design and implementation of the proposed duplex neuron models on FPGA and interpretation of results. 4.1 ...