A novel un-supervised burst time dependent plasticity learning approach for biologically pattern recognition networks
Bio-inspired computing is an appropriate platform for developing artificial intelligent
machines based on the behavioral and functional principles of the brain. Bio-inspired …
machines based on the behavioral and functional principles of the brain. Bio-inspired …
Recognizing intertwined patterns using a network of spiking pattern recognition platforms
Artificial intelligence computing adapted from biology is a suitable platform for the
development of intelligent machines by imitating the functional mechanisms of the nervous …
development of intelligent machines by imitating the functional mechanisms of the nervous …
Neuromorphic circuit based on the un-supervised learning of biologically inspired spiking neural network for pattern recognition
S Nazari, A Keyanfar, MM Van Hulle - Engineering Applications of Artificial …, 2022 - Elsevier
One of the most sophisticated platforms for hosting intelligent systems is bio-inspired. This
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
study proposes pattern recognition hardware using a biologically inspired Spiking Neural …
Spiking pattern recognition using informative signal of image and unsupervised biologically plausible learning
S Nazari - Neurocomputing, 2019 - Elsevier
The recent progress of low-power neuromorphic hardware provides exceptional conditions
for applications where their focus is more on saving power. However, the design of spiking …
for applications where their focus is more on saving power. However, the design of spiking …
Information transmitted from bioinspired neuron–astrocyte network improves cortical spiking network's pattern recognition performance
We trained two spiking neural networks (SNNs), the cortical spiking network (CSN) and the
cortical neuron–astrocyte network (CNAN), using a spike-based unsupervised method, on …
cortical neuron–astrocyte network (CNAN), using a spike-based unsupervised method, on …
A Novel Unsupervised Spatial–Temporal Learning Mechanism in a Bio-inspired Spiking Neural Network
Bio-inspired computing is a powerful platform that develops intelligent machines based on
principles of the behavioral and functional mechanisms of the human nervous system. Such …
principles of the behavioral and functional mechanisms of the human nervous system. Such …
Positive role of fractional Gaussian noise in FitzHugh–Nagumo neuron model
F Gao, Y Kang - Chaos, Solitons & Fractals, 2021 - Elsevier
Determining the complex mechanisms of process information in the neural activity is found
to be especially challenging. The noise with a 1/f power spectrum has been observed in …
to be especially challenging. The noise with a 1/f power spectrum has been observed in …
Establishing the flow of information between two bio-inspired spiking neural networks
In this article, four bio-inspired spiking neural networks (emitter1&2, receiver1&2) were
presented. Using the proposed brain-compatible learning, spiking networks were trained …
presented. Using the proposed brain-compatible learning, spiking networks were trained …
Spiking image processing unit based on neural analog of Boolean logic operations
S Nazari, A Keyanfar, MM Van Hulle - Cognitive Neurodynamics, 2023 - Springer
McCulloch and Pitts hypothesized in 1943 that the brain is entirely composed of logic gates,
akin to current computers' IP cores, which led to several neural analogs of Boolean logic …
akin to current computers' IP cores, which led to several neural analogs of Boolean logic …
Novel systematic mathematical computation based on the spiking frequency gate (SFG): Innovative organization of spiking computer
The idea that the brain is composed of logical gates similar to IP cores of today's computers
were provided by McCulloch and Pitts in 1943. In this paper, six structures for the interaction …
were provided by McCulloch and Pitts in 1943. In this paper, six structures for the interaction …