Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288558891> ?p ?o ?g. }
Showing items 1 to 66 of
66
with 100 items per page.
- W4288558891 abstract "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 a sufficiently high membrane potential. This potential is induced by spikes from neighboring neurons that fired in the previous round, which can have either an excitatory or inhibitory effect. We first consider a deterministic implementation of a neural timer and show that $Theta(log t)$ (deterministic) threshold gates are both sufficient and necessary. This raised the question of whether randomness can be leveraged to reduce the number of neurons. We answer this question in the affirmative by considering neural timers with spiking neurons where the neuron $y$ is required to fire for $t$ consecutive rounds with probability at least $1-delta$, and should stop firing after at most $2t$ rounds with probability $1-delta$ for some input parameter $delta in (0,1)$. Our key result is a construction of a neural timer with $O(loglog 1/delta)$ spiking neurons. Interestingly, this construction uses only one spiking neuron, while the remaining neurons can be deterministic threshold gates. We complement this construction with a matching lower bound of $Omega(min{loglog 1/delta, log t})$ neurons. This provides the first separation between deterministic and randomized constructions in the setting of spiking neural networks. Finally, we demonstrate the usefulness of compressed counting networks for synchronizing neural networks." @default.
- W4288558891 created "2022-07-29" @default.
- W4288558891 creator A5022875077 @default.
- W4288558891 creator A5044915753 @default.
- W4288558891 date "2019-02-27" @default.
- W4288558891 modified "2023-10-17" @default.
- W4288558891 title "Counting to Ten with Two Fingers: Compressed Counting with Spiking Neurons" @default.
- W4288558891 doi "https://doi.org/10.48550/arxiv.1902.10369" @default.
- W4288558891 hasPublicationYear "2019" @default.
- W4288558891 type Work @default.
- W4288558891 citedByCount "0" @default.
- W4288558891 crossrefType "posted-content" @default.
- W4288558891 hasAuthorship W4288558891A5022875077 @default.
- W4288558891 hasAuthorship W4288558891A5044915753 @default.
- W4288558891 hasBestOaLocation W42885588911 @default.
- W4288558891 hasConcept C105795698 @default.
- W4288558891 hasConcept C114614502 @default.
- W4288558891 hasConcept C11731999 @default.
- W4288558891 hasConcept C125112378 @default.
- W4288558891 hasConcept C154945302 @default.
- W4288558891 hasConcept C162932704 @default.
- W4288558891 hasConcept C168976158 @default.
- W4288558891 hasConcept C173018170 @default.
- W4288558891 hasConcept C184720557 @default.
- W4288558891 hasConcept C2776633867 @default.
- W4288558891 hasConcept C33010914 @default.
- W4288558891 hasConcept C33923547 @default.
- W4288558891 hasConcept C41008148 @default.
- W4288558891 hasConcept C49937458 @default.
- W4288558891 hasConcept C50644808 @default.
- W4288558891 hasConcept C63553672 @default.
- W4288558891 hasConcept C9390403 @default.
- W4288558891 hasConceptScore W4288558891C105795698 @default.
- W4288558891 hasConceptScore W4288558891C114614502 @default.
- W4288558891 hasConceptScore W4288558891C11731999 @default.
- W4288558891 hasConceptScore W4288558891C125112378 @default.
- W4288558891 hasConceptScore W4288558891C154945302 @default.
- W4288558891 hasConceptScore W4288558891C162932704 @default.
- W4288558891 hasConceptScore W4288558891C168976158 @default.
- W4288558891 hasConceptScore W4288558891C173018170 @default.
- W4288558891 hasConceptScore W4288558891C184720557 @default.
- W4288558891 hasConceptScore W4288558891C2776633867 @default.
- W4288558891 hasConceptScore W4288558891C33010914 @default.
- W4288558891 hasConceptScore W4288558891C33923547 @default.
- W4288558891 hasConceptScore W4288558891C41008148 @default.
- W4288558891 hasConceptScore W4288558891C49937458 @default.
- W4288558891 hasConceptScore W4288558891C50644808 @default.
- W4288558891 hasConceptScore W4288558891C63553672 @default.
- W4288558891 hasConceptScore W4288558891C9390403 @default.
- W4288558891 hasLocation W42885588911 @default.
- W4288558891 hasLocation W42885588912 @default.
- W4288558891 hasOpenAccess W4288558891 @default.
- W4288558891 hasPrimaryLocation W42885588911 @default.
- W4288558891 hasRelatedWork W182571550 @default.
- W4288558891 hasRelatedWork W2036074840 @default.
- W4288558891 hasRelatedWork W2165454971 @default.
- W4288558891 hasRelatedWork W2740633916 @default.
- W4288558891 hasRelatedWork W2782362212 @default.
- W4288558891 hasRelatedWork W2916599322 @default.
- W4288558891 hasRelatedWork W2945144713 @default.
- W4288558891 hasRelatedWork W2977422592 @default.
- W4288558891 hasRelatedWork W4288558891 @default.
- W4288558891 hasRelatedWork W4317438634 @default.
- W4288558891 isParatext "false" @default.
- W4288558891 isRetracted "false" @default.
- W4288558891 workType "article" @default.