Neuro-RAM unit with applications to similarity testing and compression in spiking neural networks
© Nancy Lynch, Cameron Musco, and Merav Parter;. We study distributed algorithms implemented in a simplified biologically inspired model for stochastic spiking neural networks. We focus on tradeoffs between computation time and network complexity, along with the role of noise and randomness in effic...
Main Authors: | Lynch, Nancy (Author), Parter, Merav (Author), Musco, Cameron (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
2021-11-04T12:02:47Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Random sketching, clustering, and short-term memory in spiking neural networks
by: Hitron, Y, et al.
Published: (2021) -
Spiking Neural Networks based on OxRAM Synapses for Real-time Unsupervised Spike Sorting
by: Thilo Werner, et al.
Published: (2016-11-01) -
Corrigendum: Spiking Neural Networks Based on OxRAM Synapses for Real-Time Unsupervised Spike Sorting
by: Thilo Werner, et al.
Published: (2017-08-01) -
NEURO-EVOLUTIONARY OF SPIKING NEURAL NETWORKS APPLIED TO PRE-DIAGNOSIS OF VOCAL AGING
by: MARCO AURELIO BOTELHO DA SILVA
Published: (2014) -
Computing in Additive Networks with Bounded-Information Codes
by: Censor-Hillel, Keren, et al.
Published: (2017)