Name
Affiliation
Papers
BRUNO PEDRONI
Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA
16
Collaborators
Citations 
PageRank 
29
86
8.46
Referers 
Referees 
References 
254
416
189
Search Limit
100416
Title
Citations
PageRank
Year
DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity10.352019
Performance Trade-offs in Weight Quantization for Memory-Efficient Inference00.342019
Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity20.362019
Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting10.352018
Unsupervised Synaptic Pruning Strategies for Restricted Boltzmann Machines.00.342018
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning.20.362017
Pipelined parallel contrastive divergence for continuous generative model learning00.342017
Fast Classification Using Sparsely Active Spiking Networks30.362017
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks.10.352017
Mapping Generative Models onto a Network of Digital Spiking Neurons30.432016
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity.10.352016
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware130.902016
Gibbs Sampling With Low-Power Spiking Digital Neurons60.642015
Unsupervised Learning in Synaptic Sampling Machines20.372015
Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks20.452013
Event-driven contrastive divergence for spiking neuromorphic systems.492.172013