Leaky Integrate-and-Fire spiking and Equivalent rate networks.

<p>In standard spiking networks, each neuron has a membrane voltage governed by linear dynamics. Once this voltage crosses a threshold, a spike is fired by the neuron which is then filtered by a set of double exponential filter equations. The resulting filtered spike current or post-synaptic c...

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Detalles Bibliográficos
Autor principal:	Thomas Robert Newton (21756023) (author)
Otros Autores:	Wilten Nicola (4951927) (author)
Publicado:	2025
Materias:	Cell Biology Neuroscience Science Policy Biological Sciences not elsewhere classified supervised learning tasks slower learning rates slow learning rates longer fully interchangeable fast learning rates force hyperparameters identical force effectively act trial firing rate spiking network could matched instantaneous rate applied force training fire spiking networks spiking networks approximate force trained spiking decoding solutions learned rate network matched rate force training spiking networks rate networks training networks weights trained spiking neurons weight solutions weight matrices vice versa successful convergence selectively stabilizing results indicate principal components pass filter neural bases little effect leaky integrate inherent spike increasing instability findings suggest analytic derivation
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Leaky Integrate-and-Fire spiking and Equivalent rate networks.

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