Fetching the paper…
Reading the bibliography…
This study introduces BrainTransformers, an innovative Large Language Model (LLM) implemented using Spiking Neural Networks (SNN).
Networks of spiking neurons: The third generation of neural network models
Wolfgang Maass · 1997
Earlier work this paper cites.
Spiking neuron models: Single neurons, populations, plasticity
Wulfram Gerstner and Werner M Kistler · 2002
Earlier work this paper cites.
Error-backpropagation in temporally encoded networks of spiking neurons
Sander M Bohte, Joost N Kok, and Han La Poutre · 2002
Earlier work this paper cites.
Which model to use for cortical spiking neurons?
Eugene M Izhikevich · 2004
Earlier work this paper cites.
Synaptic computation
LF Abbott and Wade G Regehr · 2004
Earlier work this paper cites.
Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing
Peter U Diehl et al · 2015
Earlier work this paper cites.
Conversion of continuous-valued deep networks to efficient event-driven networks for image classification
Bodo Rueckauer et al · 2017
Cited alongside, same era.
Deep learning with spiking neurons: opportunities and challenges
Michael Pfeiffer and Thomas Pfeil · 2018
Cited alongside, same era.
Loihi: A neuromorphic manycore processor with on-chip learning
Mike Davies et al · 2018
Cited alongside, same era.
Towards spike-based machine intelligence with neuromorphic computing
Kaushik Roy, Akhilesh Jaiswal, and Priyadarshini Panda · 2019
Cited alongside, same era.
Artifact-based rendering: harnessing natural and traditional visual media for more expressive and engaging 3D visualizations
Seth Johnson et al · 2019
Cited alongside, same era.
Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks
Emre O Neftci, Hesham Mostafa, and Friedemann Zenke · 2019
Later among the works it cites.
Going deeper in spiking neural networks: VGG and residual architectures
Abhronil Sengupta et al · 2019
Later among the works it cites.
Energy-efficient time-domain vector-by-matrix multiplier for neurocomputing and beyond
Mohammad Bavandpour, Mohammad Reza Mahmoodi, and Dmitri B Strukov · 2019
Later among the works it cites.
Abhimanyu Dubey et al · 2024
Closest in time.
NVIDIA announces financial results for first quarter fiscal 2025, 2024
NVIDIA Corporation · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…