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06/21/2023
Synaptic metaplasticity with multi-level memristive devices
Deep learning has made remarkable progress in various tasks, surpassing ...
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03/21/2022
Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential
This study proposes voltage-dependent-synaptic plasticity (VDSP), a nove...
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11/14/2021
Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse Based Deep Neural Networks
We demonstrate that extremely low resolution quantized (nominally 5-stat...
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07/23/2021
Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations
Deep learning has an increasing impact to assist research, allowing, for...
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03/16/2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Equilibrium Propagation (EP) is an algorithm intrinsically adapted to th...
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10/15/2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Neuromorphic systems achieve high energy efficiency by computing with sp...
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06/06/2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Equilibrium Propagation (EP) is a biologically-inspired algorithm for co...
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04/29/2020
Equilibrium Propagation with Continual Weight Updates
Equilibrium Propagation (EP) is a learning algorithm that bridges Machin...
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04/29/2020
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation
Equilibrium Propagation (EP) is a biologically inspired alternative algo...
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03/07/2020
Synaptic Metaplasticity in Binarized Neural Networks
While deep neural networks have surpassed human performance in multiple ...
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08/12/2019
Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction
One of the most exciting applications of Spin Torque Magnetoresistive Ra...
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05/31/2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input
Equilibrium Propagation (EP) is a biologically inspired learning algorit...
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05/10/2019
Role of non-linear data processing on speech recognition task in the framework of reservoir computing
The reservoir computing neural network architecture is widely used to te...
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09/12/2017
Spatio-temporal Learning with Arrays of Analog Nanosynapses
Emerging nanodevices such as resistive memories are being considered for...
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01/25/2017
Neuromorphic computing with nanoscale spintronic oscillators
Neurons in the brain behave as non-linear oscillators, which develop rhy...
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06/27/2016