mlsanityData to 7 Oct 2026

Brain-inspired computing: We need a master plan

arXiv 2104.14517 ↗First posted 29 Apr 2021cs.ET cs.AI eess.IVcited by 51

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Abstract (arXiv)

New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realise this promise requires a brave and coordinated plan to bring together disparate research communities and to provide them with the funding, focus and support needed. We have done this in the past with digital technologies; we are in the process of doing it with quantum technologies; can we now do it for brain-inspired computing?

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). Builds on 7 of its 52 references that are in the map. First posted on arXiv 29 Apr 2021.

Builds on

7 of 52 references.

References · 7

  1. 2017A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)cited by 51
  2. 2016Acceleration of Deep Neural Network Training with Resistive Cross-Point Devicescited by 28
  3. 2017Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale Systemcited by 19
  4. 2018Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the braincited by 19
  5. 2017Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Acceleratorcited by 15
  6. 2020Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computingcited by 10
  7. 2015A neuromorphic hardware architecture using the Neural Engineering Framework for pattern recognitioncited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 7; 2023: 13; 2024: 14; 2025: 6; 2026: 7.

51 papers.

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  1. 2023Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipelinecited by 50
  2. 2022Large Language Models and the Reverse Turing Testcited by 38
  3. 2021Accurate online training of dynamical spiking neural networks through Forward Propagation Through Timecited by 33
  4. 2024SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanismscited by 31
  5. 2024SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spikingcited by 29
  6. 2021Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligencecited by 21
  7. 2021Silicon Photonic Architecture for Training Deep Neural Networks with Direct Feedback Alignmentcited by 17
  8. 2022Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inferencecited by 16
  9. 2024Controlling Chaos Using Edge Computing Hardwarecited by 11
  10. 2023Genes in Intelligent Agentscited by 9
  11. 2023Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagationcited by 8
  12. 2024HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processingcited by 7
38 more
  1. 2022Intelligent Computing: The Latest Advances, Challenges and Futurecited by 6
  2. 2023Leveraging dendritic properties to advance machine learning and neuro-inspired computingcited by 6
  3. 2024A Review of Neuroscience-Inspired Machine Learningcited by 6
  4. 2022Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processingcited by 5
  5. 2022Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physicscited by 5
  6. 2023Human Body Digital Twin: A Master Plancited by 5
  7. 2024Physical Reservoir Computing Enabled by Solitary Waves and Biologically-Inspired Nonlinear Transformation of Input Datacited by 5
  8. 2024A&B BNN: Add&Bit-Operation-Only Hardware-Friendly Binary Neural Networkcited by 5
  9. 2024A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmissioncited by 4
  10. 2023Measurement-driven neural-network training for integrated magnetic tunnel junction arrayscited by 3
  11. 2023Conflict-free joint decision by lag and zero-lag synchronization in laser networkcited by 2
  12. 2023A differentiable brain simulator bridging brain simulation and brain-inspired computingcited by 2
  13. 2025Blending Optimal Control and Biologically Plausible Learning for Noise-Robust Physical Neural Networkscited by 2
  14. 2025Function regression using the forward forward training and inferring paradigmcited by 2
  15. 2025Energy-Efficient and Dequantization-Free Q-LLMs: A Spiking Neural Network Approach to Salient Value Mitigationcited by 2
  16. 2022Vision for Bosnia and Herzegovina in Artificial Intelligence Age: Global Trends, Potential Opportunities, Selected Use-cases and Realistic Goalscited by 1
  17. 2023Intelligence-Endogenous Management Platform for Computing and Network Convergencecited by 1
  18. 2023From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challengescited by 1
  19. 2024Polariton lattices as binarized neuromorphic networkscited by 1
  20. 2024Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environmentscited by 1
  21. 2024When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-designcited by 1
  22. 2024STOP: Spatiotemporal Orthogonal Propagation for Weight-Threshold-Leakage Synergistic Training of Deep Spiking Neural Networkscited by 1
  23. 2025Neuromorphic Intelligencecited by 1
  24. 2026Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architecturescited by 1
  25. 2026Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descentcited by 1
  26. 2021Spatiotemporal Pattern Recognition in Single Mixed-Signal VLSI Neurons with Heterogeneous Dynamic Synapsescited by 0
  27. 2022A Relative Church-Turing-Deutsch Thesis from Special Relativity and Undecidabilitycited by 0
  28. 2023A method for the ethical analysis of brain-inspired AIcited by 0
  29. 2023Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Reviewcited by 0
  30. 2023Metalearning-Informed Competence in Children: Implications for Responsible Brain-Inspired Artificial Intelligencecited by 0
  31. 2024Topology Optimization of Random Memristors for Input-Aware Dynamic SNNcited by 0
  32. 2024Skewed Neuronal Heterogeneity Enhances Efficiency On Various Computing Systemscited by 0
  33. 2025Low-power Spike-based Wearable Analytics on RRAM Crossbarscited by 0
  34. 2025Neuromorphic-based metaheuristics: A new generation of low power, low latency and small footprint optimization algorithmscited by 0
  35. 2026Emerging Threats and Countermeasures in Neuromorphic Systems: A Surveycited by 0
  36. 2026Physical Analogue Kolmogorov-Arnold Networks based on Reconfigurable Nonlinear-Processing Unitscited by 0
  37. 2026Globally Optimal Training of Spiking Neural Networks via Parameter Reconstructioncited by 0
  38. 2026Embodied Neurocomputation: A Framework for Interfacing Biological Neural Cultures with Scaled Task-Driven Validationcited by 0

50 most cited of 51 All 51 (JSON)