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09/27/2021
Analysis of Trade-offs in RF Photonic Links based on Multi-Bias Tuning of Silicon Photonic Ring-Assisted Mach Zehnder Modulators
Recent progress in silicon-based photonic integrated circuits (PICs) hav...
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05/03/2020
Continuous Learning in a Single-Incremental-Task Scenario with Spike Features
Deep Neural Networks (DNNs) have two key deficiencies, their dependence ...
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02/26/2020
A Deep Unsupervised Feature Learning Spiking Neural Network with Binarized Classification Layers for EMNIST Classification
End user AI is trained on large server farms with data collected from th...
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03/28/2019
Deep Convolutional Spiking Neural Networks for Image Classification
Spiking neural networks are biologically plausible counterparts of the a...
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02/07/2018
Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip
Emerging non-volatile memory (NVM), or memristive, devices promise energ...
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01/09/2018
Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses
Brain-inspired learning mechanisms, e.g. spike timing dependent plastici...
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12/05/2016
Enabling Bio-Plausible Multi-level STDP using CMOS Neurons with Dendrites and Bistable RRAMs
Large-scale integration of emerging nanoscale non-volatile memory device...
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06/02/2015
Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
A neuromorphic chip that combines CMOS analog spiking neurons and memris...
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06/02/2015
A CMOS Spiking Neuron for Dense Memristor-Synapse Connectivity for Brain-Inspired Computing
Neuromorphic systems that densely integrate CMOS spiking neurons and nan...
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05/28/2015