Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks

Synaptic Plasticity Forms and Functions

(2020) Jeffrey C. Magee et al.   Annual Review of Neuroscience

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

(2020) Jacques Kaiser et al.   Frontiers in Neuroscience

Low-Power Neuromorphic Hardware for Signal Processing Applications: A Review of Architectural and System-Level Design Approaches

(2019) Bipin Rajendran et al.   IEEE SIGNAL PROCESSING MAGAZINE

MorphIC: A 65-nm 738k-Synapse/mm$^2$ Quad-Core Binary-Weight Digital Neuromorphic Processor With Stochastic Spike-Driven Online Learning

(2019) Charlotte Frenkel et al.   IEEE Transactions on Biomedical Circuits and Systems

A 65-nm Neuromorphic Image Classification Processor With Energy-Efficient Training Through Direct Spike-Only Feedback

(2019) Jeongwoo Park et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Learning in the machine: Random backpropagation and the deep learning channel

(2018) Pierre Baldi et al.   ARTIFICIAL INTELLIGENCE

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning

(2018) Georgios Detorakis et al.   Frontiers in Neuroscience

Deep Supervised Learning Using Local Errors

(2018) Hesham Mostafa et al.   Frontiers in Neuroscience

Large-Scale Neuromorphic Spiking Array Processors: A Quest to Mimic the Brain

(2018) Chetan Singh Thakur et al.   Frontiers in Neuroscience

Towards deep learning with segregated dendrites

(2017) Jordan Guerguiev et al.   eLife

Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

(2017) Emre O. Neftci et al.   Frontiers in Neuroscience

Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System

(2017) Moritz B. Milde et al.   Frontiers in Neurorobotics

Random synaptic feedback weights support error backpropagation for deep learning

(2016) Timothy P. Lillicrap et al.   Nature Communications

Deep learning

(2015) Yann LeCun et al.   NATURE

Diverse synaptic plasticity mechanisms orchestrated to form and retrieve memories in spiking neural networks

(2015) Friedemann Zenke et al.   Nature Communications

Learning by the Dendritic Prediction of Somatic Spiking

(2014) Robert Urbanczik et al.   NEURON

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE