Towards spike-based machine intelligence with neuromorphic computing

Going Deeper in Spiking Neural Networks: VGG and Residual Architectures

(2019) Abhronil Sengupta et al.   Frontiers in Neuroscience

A 4 + 2T SRAM for Searching and In-Memory Computing With 0.3-V $V_{\mathrm {DDmin}}$

(2018) Qing Dong et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

X-SRAM: Enabling In-Memory Boolean Computations in CMOS Static Random Access Memories

(2018) Amogh Agrawal et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS

Computing in Memory With Spin-Transfer Torque Magnetic RAM

(2018) Shubham Jain et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

STDP-based spiking deep convolutional neural networks for object recognition

(2018) Saeed Reza Kheradpisheh et al.   NEURAL NETWORKS

A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training

(2018) Sujan K. Gonugondla et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning

(2018) Chankyu Lee et al.   Frontiers in Neuroscience

Deep Supervised Learning Using Local Errors

(2018) Hesham Mostafa et al.   Frontiers in Neuroscience

Deep Learning With Spiking Neurons: Opportunities and Challenges

(2018) Michael Pfeiffer et al.   Frontiers in Neuroscience

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Sparse coding with memristor networks

(2017) Patrick M. Sheridan et al.   Nature Nanotechnology

Temporal correlation detection using computational phase-change memory

(2017) Abu Sebastian et al.   Nature Communications

High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays

(2017) Farnood Merrikh-Bayat et al.   IEEE Transactions on Neural Networks and Learning Systems

An Online Unsupervised Structural Plasticity Algorithm for Spiking Neural Networks

(2017) Subhrajit Roy et al.   IEEE Transactions on Neural Networks and Learning Systems

Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing

(2017) Abhronil Sengupta et al.   Applied Physics Reviews

Learning to Generate Sequences with Combination of Hebbian and Non-hebbian Plasticity in Recurrent Spiking Neural Networks

(2017) Priyadarshini Panda et al.   Frontiers in Neuroscience

An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

(2017) Evangelos Stromatias et al.   Frontiers in Neuroscience

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

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

Conversion of Continuous-Valued Deep Networks to Efficient Event-Driven Networks for Image Classification

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Large-scale neuromorphic computing systems

(2016) Steve Furber   Journal of Neural Engineering

The chips are down for Moore’s law

(2016) M. Mitchell Waldrop   NATURE

Stochastic phase-change neurons

(2016) Tomas Tuma et al.   Nature Nanotechnology

A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors

(2016) Anup Vanarse et al.   Frontiers in Neuroscience

A Dataset for Visual Navigation with Neuromorphic Methods

(2016) Francisco Barranco et al.   Frontiers in Neuroscience

Recent Progress in Phase-Change_newline Memory Technology

(2016) Geoffrey W. Burr et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems

(2015) Adrien F. Vincent et al.   IEEE Transactions on Biomedical Circuits and Systems

HFirst: A Temporal Approach to Object Recognition

(2015) Garrick Orchard et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Training and operation of an integrated neuromorphic network based on metal-oxide memristors

(2015) M. Prezioso et al.   NATURE

Memory leads the way to better computing

(2015) H.-S. Philip Wong et al.   Nature Nanotechnology

Unsupervised learning of digit recognition using spike-timing-dependent plasticity

(2015) Peter U. Diehl et al.   Frontiers in Computational Neuroscience

Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms

(2015) Evangelos Stromatias et al.   Frontiers in Neuroscience

A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses

(2015) Ning Qiao et al.   Frontiers in Neuroscience

Spin dice: A scalable truly random number generator based on spintronics

(2014) Akio Fukushima et al.   Applied Physics Express

Neural Networks and Neuroscience-Inspired Computer Vision

(2014) David Daniel Cox et al.   CURRENT BIOLOGY

Statistical Fluctuations in HfOx Resistive-Switching Memory: Part I - Set/Reset Variability

(2014) Stefano Ambrogio et al.   IEEE TRANSACTIONS ON ELECTRON DEVICES

Spiking Deep Convolutional Neural Networks for Energy-Efficient Object Recognition

(2014) Yongqiang Cao et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale Neural Simulations

(2014) Ben Varkey Benjamin et al.   PROCEEDINGS OF THE IEEE

A million spiking-neuron integrated circuit with a scalable communication network and interface

(2014) P. A. Merolla et al.   SCIENCE

Event-driven contrastive divergence for spiking neuromorphic systems

(2014) Emre Neftci et al.   Frontiers in Neuroscience

Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets

(2013) J. A. Perez-Carrasco et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Vision meets robotics: The KITTI dataset

(2013) A Geiger et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

STDP and STDP variations with memristors for spiking neuromorphic learning systems

(2013) T. Serrano-Gotarredona et al.   Frontiers in Neuroscience

Finding a roadmap to achieve large neuromorphic hardware systems

(2013) Jennifer Hasler et al.   Frontiers in Neuroscience

The Memristive Magnetic Tunnel Junction as a Nanoscopic Synapse-Neuron System

(2012) Patryk Krzysteczko et al.   ADVANCED MATERIALS

Exploring Flow, Factors, and Outcomes of Temporal Event Sequences with the Outflow Visualization

(2012) K. Wongsuphasawat et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm

(2012) Fabien Alibart et al.   NANOTECHNOLOGY

The economy of brain network organization

(2012) Ed Bullmore et al.   NATURE REVIEWS NEUROSCIENCE

Arithmetic and Biologically-Inspired Computing Using Phase-Change Materials

(2011) C. David Wright et al.   ADVANCED MATERIALS

Floating Gate Synapses With Spike-Time-Dependent Plasticity

(2011) Shubha Ramakrishnan et al.   IEEE Transactions on Biomedical Circuits and Systems

Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing

(2011) Duygu Kuzum et al.   NANO LETTERS

Asynchronous frameless event-based optical flow

(2011) Ryad Benosman et al.   NEURAL NETWORKS

Asynchronous Event-Based Binocular Stereo Matching

(2011) P. Rogister et al.   IEEE Transactions on Neural Networks and Learning Systems

Neuromorphic sensory systems

(2010) Shih-Chii Liu et al.   CURRENT OPINION IN NEUROBIOLOGY

‘Memristive’ switches enable ‘stateful’ logic operations via material implication

(2010) Julien Borghetti et al.   NATURE

Redox-Based Resistive Switching Memories - Nanoionic Mechanisms, Prospects, and Challenges

(2009) Rainer Waser et al.   ADVANCED MATERIALS

An electrically modifiable synapse array of resistive switching memory

(2009) Hyejung Choi et al.   NANOTECHNOLOGY

Competitive STDP-Based Spike Pattern Learning

(2009) Timothée Masquelier et al.   NEURAL COMPUTATION

Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting

(2009) Filip Ponulak et al.   NEURAL COMPUTATION

A configurable simulation environment for the efficient simulation of large-scale spiking neural networks on graphics processors

(2009) Jayram Moorkanikara Nageswaran et al.   NEURAL NETWORKS

A new supervised learning algorithm for multiple spiking neural networks with application in epilepsy and seizure detection

(2009) Samanwoy Ghosh-Dastidar et al.   NEURAL NETWORKS

Stochastic dynamics as a principle of brain function

(2009) Gustavo Deco et al.   PROGRESS IN NEUROBIOLOGY

Spike-Based Reinforcement Learning in Continuous State and Action Space: When Policy Gradient Methods Fail

(2009) Eleni Vasilaki et al.   PLoS Computational Biology

A 128$\times$128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor

(2008) Patrick Lichtsteiner et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

The missing memristor found

(2008) Dmitri B. Strukov et al.   NATURE

Compact hardware liquid state machines on FPGA for real-time speech recognition

(2007) Benjamin Schrauwen et al.   NEURAL NETWORKS