Neuroscience, Artificial Intelligence, Neuromorphic Engineering
Deep Learning Accelerators, Edge AI, Tiny-ML
Neuro-AI, State-Of-The-Art AI, Bio-inspired Neural Networks
SCHOLARLY WORK
Articles, Books and Chapters
AI
Computational Models
-
Improved, embodied self-supervised learning NeurIPS 2022
-
Meta-learning to learn and forget ICML 2022
-
SOTA in plastic and recurrent neural networks ICML 2022
-
Fast inference ICLR 2022
-
Hebbian deep learning arXiv 2022
-
SOTA in efficient, bio-plausible deep learning arXiv 2022
-
Optimal Hebbian plasticity NCE 2022
-
Adversarial robustness through Hebbian plasticity NCE 2022
-
Optimal networks for random but continuous dynamics optimally arXiv 2020
-
Unsupervised elastic clustering for non-stationary data arXiv 2020
SNNs
(Spiking Neural Networks)
-
Short-term STDP can outperform supervised LSTMs arXiv 2020
-
Spike-based inference-speed reaches non-spiking SOTA ICLR 2022
-
SNNs learn to decode a rat's "thoughts" Frontiers in Neuroscience 2016
-
F-STDP
-
2D neurons
-
Kreiser
-
NatCom
AI Hardware / Neuromorphic HW
-
Nat Nano 2022
-
NatCom 2022
-
NatCom 2018
-
IEEE 2018?
-
SoftHebb x2
-
BMI
-
STPN
Neuroscience
-
STP
-
STPN
-
J Neurosci
-
Efference Copy
-
Blinks
-
SoftHebb x2
-
BMI
-
Reflex-tutored motor control
Applications
-
Adversarial robustness
-
Brain-machine interfaces
-
Object detection
-
Image segmentation
-
Speech recognition
-
AI hardware accelerators
-