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In this paper the autonomous behaviour of neural networks detecting straight lines is investigated. At this purpose the role of the synaptic junctions in ...
The resulting system is trained to recognize specific orientation by a Hebb-like rule reinforcing the synaptic strengths activated by the input stimulus.
Missing: detecting | Show results with:detecting
It is based on assemblies of 32 elements like neurons arranged in an isotropic mode with antisymmetrical synaptic patterns. The dynamicisms of the system ...
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A synaptic pattern model of neuronal small assembly units for segments detection is proposed and some results of its simulation are shown.
Nov 14, 2022 · Four spiking pattern recognition platforms for recognizing digits and letters of EMNIST, patterns of YALE, and ORL datasets are proposed.
Missing: oriented slabs.
In this paper, we proposed a new supervised learning algorithm for multiple-layer spiking neural networks based on the typical SpikeProp method.
Bibliographic details on Synaptic patterns in neural network detecting oriented slabs.
Oct 11, 2024 · In this work, we extend the model to detect and learn sequences of various spatio-temporal patterns (STPs) by incorporating plastic connections in the input ...
Synaptic strength is modified by a proposed synaptic state matching (SSM) process that ensures equivalence of spike statistics between the two network states.
Missing: slabs. | Show results with:slabs.
Jan 14, 2024 · We propose reference spikes as new plastic parameters for spiking neural networks. The number and timings of reference spikes are modifiable by learning rules.
Missing: oriented slabs.