SlowGuess/NeurIPS_2023_OCR huggingface dataset:
[1] David E Rumelhart, Geoffrey E Hinton, and Ronald J Williams. Learning representations by back-propagating errors. Nature, 323(6088):533-536, 1986.
[2] James CR Whittington and Rafal Bogacz. Theories of error back-propagation in the brain. Trends in cognitive sciences, 23(3):235-250, 2019.
[3] Francis Crick. The recent excitement about neural networks. Nature, 337:129-132, 1989.
[4] Stephen Grossberg. Competitive learning: From interactive activation to adaptive resonance. Cognitive science, 11(1):23-63, 1987.
[5] Xiaohui Xie and H Sebastian Seung. Equivalence of backpropagation and contrastive hebbian learning in a layered network. Neural computation, 15(2):441-454, 2003.
[6] Benjamin Scellier and Yoshua Bengio. Equilibrium propagation: Bridging the gap between energy-based models and backpropagation. Frontiers in computational neuroscience, 11:24, 2017.
[7] Matthew Larkum. A cellular mechanism for cortical associations: an organizing principle for the cerebral cortex. Trends in neurosciences, 36(3):141-151, 2013.
[8] Robert Urbanczik and Walter Senn. Learning by the dendritic prediction of somatic spiking. Neuron, 81(3):521-528, 2014.
[9] João Sacramento, Rui Ponte Costa, Yoshua Bengio, and Walter Senn. Dendritic cortical microcircuits approximate the backpropagation algorithm. Advances in neural information processing systems, 31, 2018.
[10] Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan Sengupta, and Dmitri Chklovskii. Constrained predictive coding as a biologically plausible model of the cortical hierarchy. Advances in Neural Information Processing Systems, 35:14155-14169, 2022.
[11] Bariscan Bozkurt, Ateş İsfendiyaroglu, Cengiz Pehlevan, and Alper Tunga Erdoğan. Correlative information maximization based biologically plausible neural networks for correlated source separation. In The Eleventh International Conference on Learning Representations, 2023.
[12] Leopoldo Petreanu, Tianyi Mao, Scott M Sternson, and Karel Svoboda. The subcellular organization of neocortical excitatory connections. Nature, 457(7233):1142-1145, 2009.
[13] Blake A Richards and Timothy P Lillicrap. Dendritic solutions to the credit assignment problem. Current opinion in neurobiology, 54:28-36, 2019.
[14] Joanna Urban-Ciecko and Alison L Barth. Somatostatin-expressing neurons in cortical networks. Nature Reviews Neuroscience, 17(7):401-409, 2016.
[15] Jordan Guerguiev, Timothy P Lillicrap, and Blake A Richards. Towards deep learning with segregated dendrites. *Elife*, 6:e22901, 2017.
[16] Stephen Grossberg. Competitive learning: From interactive activation to adaptive resonance. Cogn. Sci., 11:23-63, 1987.