Training Spiking Neural Networks Using Lessons From Deep Learning

Bottom-Up and Top-Down Approaches for the Design of Neuromorphic Processing Systems: Tradeoffs and Synergies Between Natural and Artificial Intelligence

(2023) Charlotte Frenkel et al.   PROCEEDINGS OF THE IEEE

BPLC + NOSO: backpropagation of errors based on latency code with neurons that only spike once at most

(2023) Seong Min Jin et al.   Complex & Intelligent Systems

Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time

(2023) Bojian Yin et al.   Nature Machine Intelligence

Embodied neuromorphic intelligence

(2022) Chiara Bartolozzi et al.   Nature Communications

Spiking Neural Networks for Visual Place Recognition via Weighted Neuronal Assignments

(2022) Somayeh Hussaini et al.   IEEE Robotics and Automation Letters

Gooaall!!!: Why we Built a Neuromorphic Robot to Play Foosball

(2022) Gregory Cohen   IEEE SPECTRUM

A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification

(2022) Yikai Yang et al.   IEEE Journal of Biomedical and Health Informatics

Weak self-supervised learning for seizure forecasting: a feasibility study

(2022) Yikai Yang et al.   Royal Society Open Science

Neuromorphic computing hardware and neural architectures for robotics

(2022) Yulia Sandamirskaya et al.   Science Robotics

An Implantable Neuromorphic Sensing System Featuring Near-Sensor Computation and Send-on-Delta Transmission for Wireless Neural Sensing of Peripheral Nerves

(2022) Yuming He et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

Online Spatio-Temporal Learning in Deep Neural Networks

(2022) Thomas Bohnstingl et al.   IEEE Transactions on Neural Networks and Learning Systems

The Remarkable Robustness of Surrogate Gradient Learning for Instilling Complex Function in Spiking Neural Networks

(2021) Friedemann Zenke et al.   NEURAL COMPUTATION

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

(2021) Charlotte Frenkel et al.   Frontiers in Neuroscience

Memristive Stochastic Computing for Deep Learning Parameter Optimization

(2021) Corey Lammie et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook

(2021) Mike Davies et al.   PROCEEDINGS OF THE IEEE

Brain-Inspired Learning on Neuromorphic Substrates

(2021) Friedemann Zenke et al.   PROCEEDINGS OF THE IEEE

Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings

(2021) Nicholas A. Steinmetz et al.   SCIENCE

Memory consolidation and improvement by synaptic tagging and capture in recurrent neural networks

(2021) Jannik Luboeinski et al.   Communications Biology

Wind speed forecasting system based on gated recurrent units and convolutional spiking neural networks

(2021) Danxiang Wei et al.   APPLIED ENERGY

An electronic neuromorphic system for real-time detection of high frequency oscillations (HFO) in intracranial EEG

(2021) Mohammadali Sharifshazileh et al.   Nature Communications

Event-based backpropagation can compute exact gradients for spiking neural networks

(2021) Timo C. Wunderlich et al.   Scientific Reports

DSEC: A Stereo Event Camera Dataset for Driving Scenarios

(2021) Mathias Gehrig et al.   IEEE Robotics and Automation Letters

Neural heterogeneity promotes robust learning

(2021) Nicolas Perez-Nieves et al.   Nature Communications

Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch

(2021) Youngeun Kim et al.   Frontiers in Neuroscience

Nonlinear retinal response modeling for future neuromorphic instrumentation

(2020) Jason K. Eshraghian et al.   IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE

International evaluation of an AI system for breast cancer screening

(2020) Scott Mayer McKinney et al.   NATURE

Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron

(2020) Saeed Reza Kheradpisheh et al.   International Journal of Neural Systems

Backpropagation and the brain

(2020) Timothy P. Lillicrap et al.   NATURE REVIEWS NEUROSCIENCE

Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE)

(2020) Jacques Kaiser et al.   Frontiers in Neuroscience

A solution to the learning dilemma for recurrent networks of spiking neurons

(2020) Guillaume Bellec et al.   Nature Communications

Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing

(2020) Enea Ceolini et al.   Frontiers in Neuroscience

Power-efficient combinatorial optimization using intrinsic noise in memristor Hopfield neural networks

(2020) Fuxi Cai et al.   Nature Electronics

Energy efficient ECG classification with spiking neural network

(2020) Zhanglu Yan et al.   Biomedical Signal Processing and Control

Event-Based Object Detection and Tracking for Space Situational Awareness

(2020) Saeed Afshar et al.   IEEE SENSORS JOURNAL

Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

(2020) Mostafa Rahimi Azghadi et al.   IEEE Transactions on Biomedical Circuits and Systems

On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks

(2020) Melika Payvand et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Event-Based Vision: A Survey

(2020) Guillermo Gallego et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

(2020) Benjamin Cramer et al.   IEEE Transactions on Neural Networks and Learning Systems

Event-based Sensing for Space Situational Awareness

(2019) Gregory Cohen et al.   JOURNAL OF THE ASTRONAUTICAL SCIENCES

Local online learning in recurrent networks with random feedback

(2019) James M Murray   eLife

Towards artificial general intelligence with hybrid Tianjic chip architecture

(2019) Jing Pei et al.   NATURE

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks

(2019) Emre O. Neftci et al.   IEEE SIGNAL PROCESSING MAGAZINE

Grandmaster level in StarCraft II using multi-agent reinforcement learning

(2019) Oriol Vinyals et al.   NATURE

Towards spike-based machine intelligence with neuromorphic computing

(2019) Kaushik Roy et al.   NATURE

A deep learning framework for neuroscience

(2019) Blake A. Richards et al.   NATURE NEUROSCIENCE

Real-Time Ultra-Low Power ECG Anomaly Detection Using an Event-Driven Neuromorphic Processor

(2019) Felix Christian Bauer et al.   IEEE Transactions on Biomedical Circuits and Systems

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

(2018) Mike Davies et al.   IEEE MICRO

Neuromorphic Vision Hybrid RRAM-CMOS Architecture

(2018) Jason Kamran Eshraghian et al.   IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS

Formulation and Implementation of Nonlinear Integral Equations to Model Neural Dynamics Within the Vertebrate Retina

(2018) Jason K. Eshraghian et al.   International Journal of Neural Systems

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

(2018) Rishi Rajalingham et al.   JOURNAL OF NEUROSCIENCE

A Task-Optimized Neural Network Replicates Human Auditory Behavior, Predicts Brain Responses, and Reveals a Cortical Processing Hierarchy

(2018) Alexander J.E. Kell et al.   NEURON

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

(2018) Yujie Wu et al.   Frontiers in Neuroscience

Feature Representations for Neuromorphic Audio Spike Streams

(2018) Jithendar Anumula et al.   Frontiers in Neuroscience

Deep Supervised Learning Using Local Errors

(2018) Hesham Mostafa et al.   Frontiers in Neuroscience

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model

(2018) Alexander Neckar et al.   PROCEEDINGS OF THE IEEE

Deep Learning With Spiking Neurons: Opportunities and Challenges

(2018) Michael Pfeiffer et al.   Frontiers in Neuroscience

The event-camera dataset and simulator: Event-based data for pose estimation, visual odometry, and SLAM

(2017) Elias Mueggler et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

Fully integrated silicon probes for high-density recording of neural activity

(2017) James J. Jun et al.   NATURE

The Brain as an Efficient and Robust Adaptive Learner

(2017) Sophie Denève et al.   NEURON

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

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

(2017) Bodo Rueckauer et al.   Frontiers in Neuroscience

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Convolutional networks for fast, energy-efficient neuromorphic computing

(2016) Steven K. Esser et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Toward an Integration of Deep Learning and Neuroscience

(2016) Adam H. Marblestone et al.   Frontiers in Computational Neuroscience

Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

(2016) Radoslaw Martin Cichy et al.   Scientific Reports

A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder

(2016) Fabio Boi et al.   Frontiers in Neuroscience

DVS Benchmark Datasets for Object Tracking, Action Recognition, and Object Recognition

(2016) Yuhuang Hu et al.   Frontiers in Neuroscience

A Scalable Population Code for Time in the Striatum

(2015) Gustavo B.M. Mello et al.   CURRENT BIOLOGY

A Neuromorphic Event-Based Neural Recording System for Smart Brain-Machine-Interfaces

(2015) Federico Corradi et al.   IEEE Transactions on Biomedical Circuits and Systems

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

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

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

(2015) Bo Zhao et al.   IEEE Transactions on Neural Networks and Learning Systems

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons

(2015) Aboozar Taherkhani et al.   IEEE Transactions on Neural Networks and Learning Systems

Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades

(2015) Garrick Orchard et al.   Frontiers in Neuroscience

Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details

(2015) Teresa Serrano-Gotarredona et al.   Frontiers in Neuroscience

A 240 × 180 130 dB 3 µs Latency Global Shutter Spatiotemporal Vision Sensor

(2014) Christian Brandli et al.   IEEE JOURNAL OF SOLID-STATE CIRCUITS

The SpiNNaker Project

(2014) Steve B. Furber 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

Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices

(2013) Damien Querlioz et al.   IEEE TRANSACTIONS ON NANOTECHNOLOGY

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

Adaptation maintains population homeostasis in primary visual cortex

(2013) Andrea Benucci et al.   NATURE NEUROSCIENCE

A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks

(2013) Yan Xu et al.   NEURAL NETWORKS

Categorization and decision-making in a neurobiologically plausible spiking network using a STDP-like learning rule

(2013) Michael Beyeler et al.   NEURAL NETWORKS

The CaMKII/NMDAR complex as a molecular memory

(2013) Magdalena Sanhueza et al.   Molecular Brain

Computing with Neural Synchrony

(2012) Romain Brette   PLoS Computational Biology

Neural network computation with DNA strand displacement cascades

(2011) Lulu Qian et al.   NATURE

Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses

(2010) Mattia Rigotti   Frontiers in Computational Neuroscience

Stochastic Properties of Coincidence-Detector Neural Cells

(2009) Ram Krips et al.   NEURAL COMPUTATION