Results 41 to 50 of about 68,187 (284)
Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons [PDF]
, 2019 We consider the task of measuring time with probabilistic threshold gates implemented by bio-inspired spiking neurons. In the model of spiking neural networks, network evolves in discrete rounds, where in each round, neurons fire in pulses in response to
Hitron, Yael, Parter, Merav
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Sa-SNN: spiking attention neural network for image classification [PDF]
PeerJ Computer ScienceSpiking neural networks (SNNs) are known as third generation neural networks due to their energy efficient and low power consumption. SNNs have received a lot of attention due to their biological plausibility. SNNs are closer to the way biological neural
Yongping Dan +3 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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Power laws, memory capacity, and self-tuned critical branching in an LIF model with binary synapses [PDF]
, 2011 Both fluctuations and distributions of spontaneous neural spiking activity have been observed to closely follow a variety of power laws. Multiple explanations have been offered for each observation, but few lead to mechanisms that encompass their ...
Bryan Kerster, Christopher T. Kello
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Phase diagram of spiking neural networks [PDF]
Frontiers in Computational Neuroscience, 2015 oscillations are studied in this ...
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Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
, 2022 Accepted by ...
Guo, Yufei +7 more
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Equivalence of Additive and Multiplicative Coupling in Spiking Neural Networks
IEEE Access, 2023 Spiking neural network models characterize the emergent collective dynamics of circuits of biological neurons and help engineer neuro-inspired solutions across fields. Most dynamical systems’ models of spiking neural networks typically exhibit one
Georg Borner +2 more
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Encountering Spiking Neural Networks
Visual Anthropology Review, 2023 AbstractOver the past two decades, the term “intelligent media” has surfaced to describe media that take on problematics of cognition, communication, and sensory perception loosely modeled after human intelligence. Taking the form of hardware‐software assemblages, these novel media demonstrate forms of autonomy that challenge human control and herald a
Alexandre Saunier, David Howes
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Stochastic dynamics of a finite-size spiking neural network
, 2006 We present a simple Markov model of spiking neural dynamics that can be analytically solved to characterize the stochastic dynamics of a finite-size spiking neural network.
Chow, C. C., Soula, H.
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Spiking Neural Network Pressure Sensor
Neural ComputationAbstract Von Neumann architecture requires information to be encoded as numerical values. For that reason, artificial neural networks running on computers require the data coming from sensors to be discretized. Other network architectures that more closely mimic biological neural networks (e.g., spiking neural networks) can be simulated ...
Markiewicz, Michał +2 more
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