Unsupervised learning in the brain | Timoleon Moraitis

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Dr TIMOLEON MORAITIS

Neuroscience, Artificial Intelligence, Neuromorphic Engineering

Deep Learning Accelerators, Edge AI, Tiny-ML

Neuro-AI, State-Of-The-Art AI, Bio-inspired Neural Networks

timosmoraitis@gmail.com

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Models of unsupervised learning in the brain

Hebbian Deep Learning Without Feedback

Journé, A., Rodriguez, H. G., Guo, Q., & Moraitis, T. (2023). ICLR 2023 - Notable top 25%

SoftHebb: Bayesian inference in unsupervised Hebbian soft winner-take-all networks.

Moraitis, T., Toichkin, D., Journé, A., Chua, Y., & Guo, Q. (2022). Neuromorphic Computing and Engineering, 2(4), 044017.

Optimality of short-term synaptic plasticity in modelling certain dynamic environments

Self-supervised learning through efference copies

Scherr, F., Guo, Q., & Moraitis, T. (2022). NeurIPS 2022

Short-Term Plasticity Neurons Learning to Learn and Forget

Rodriguez, Hector Garcia, Qinghai Guo, and Timoleon Moraitis. International Conference on Machine Learning. PMLR, 2022. ICML 2022

Moraitis, T., Sebastian, A., & Eleftheriou, E. (2020). arXiv preprint arXiv:2009.06808.

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