Results 21 to 30 of about 574,330 (219)
Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays [PDF]
, 2012 Sheik S, Chicca E, Indiveri G. Exploiting Device Mismatch in Neuromorphic VLSI Systems to Implement Axonal Delays. Presented at the International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.Axonal delays are used in neural ...
Chicca, Elisabetta +2 more
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Cellular computation and cognition
Frontiers in Computational Neuroscience, 2023 Contemporary neural network models often overlook a central biological fact about neural processing: that single neurons are themselves complex, semi-autonomous computing systems.
W. Tecumseh Fitch
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Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor [PDF]
, 2018 Neuromorphic computing is a new paradigm for design of both the computing hardware and algorithms inspired by biological neural networks. The event-based nature and the inherent parallelism make neuromorphic computing a promising paradigm for building ...
Glatz, Sebastian +4 more
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CHOOSING THE MODEL OF BIOLOGICAL NEURAL NETWORK FOR IMAGE SEGMENTATION OF A BIO-LIQUID FACIE
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2019 In the paper, the biological neural network models are analyzed with a purpose to solve the problems of segmentation and pattern recognition when applied to the bio-liquid facies obtained by the cuneiform dehydration method.
M. E. Semenov, T.Yu. Zablotskaya
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Predefined-time synchronization of inertial memristive neural networks
Nantong Daxue xuebao. Ziran kexue ban, 2023 Based on a novel control protocol, the synchronization problem of predefined-time of neural networks with inertia and memristor is studied. The network model considered in this paper can be widely used to simulate biological synapses, and has good ...
JIANG Zhuyan; LIU Xiaoyang
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Unsupervised Spiking Neural Network with Dynamic Learning of Inhibitory Neurons
Sensors, 2023 A spiking neural network (SNN) is a type of artificial neural network that operates based on discrete spikes to process timing information, similar to the manner in which the human brain processes real-world problems.
Geunbo Yang +7 more
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Neural Sampling by Irregular Gating Inhibition of Spiking Neurons and Attractor Networks [PDF]
, 2016 A long tradition in theoretical neuroscience casts sensory processing in the brain as the process of inferring the maximally consistent interpretations of imperfect sensory input.
Indiveri, Giacomo, Muller, Lorenz K.
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BMC Medical Genomics, 2019 Background Understanding the complex biological mechanisms of cancer patient survival using genomic and clinical data is vital, not only to develop new treatments for patients, but also to improve survival prediction.
Jie Hao +4 more
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Stability of a neural network model with small-world connections
, 2004 Small-world networks are highly clustered networks with small distances among the nodes. There are many biological neural networks that present this kind of connections.
C. Aguirre +15 more
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Innate Orientating Behavior of a Multi-Legged Robot Driven by the Neural Circuits of C. elegans
BiomimeticsThe objective of this research is to achieve biologically autonomous control by utilizing a whole-brain network model, drawing inspiration from biological neural networks to enhance the development of bionic intelligence.
Kangxin Hu +7 more
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