Inteligência Artificial - Aula 14 - Redes Neurais e Neurociência II

Referências:
Florian, Razvan V. "Biologically inspired neural networks for the control of embodied agents." Center for Cognitive and Neural Studies (Cluj-Napoca, Romania), Technical Report Coneural-03-03 (2003).
Jesper Sjöström and Wulfram Gerstner (2010), Scholarpedia, 5(2):1362.
Parhi, Keshab K., and Nanda K. Unnikrishnan. "Brain-inspired computing: Models and architectures." IEEE Open Journal of Circuits and Systems 1 (2020): 185-204.
Rosenblatt, Frank. "The perceptron: a probabilistic model for information storage and organization in the brain." Psychological review 65.6 (1958): 386.
Schmidgall, Samuel, et al. "Brain-inspired learning in artificial neural networks: a review." APL Machine Learning 2.2 (2024).
Confavreux, Basile, et al. "A meta-learning approach to (re) discover plasticity rules that carve a desired function into a neural network." Advances in Neural Information Processing Systems 33 (2020): 16398-16408.
Sayenko, Dimitry G., et al. "Neuromodulation and restoration of motor responses after severe spinal cord injury." Cellular, molecular, physiological, and behavioral aspects of spinal cord injury. Academic Press, 2022. 51-63.
Imagens:
Overall, Rupert W., and Gerd Kempermann. "The small world of adult hippocampal neurogenesis." Frontiers in neuroscience 12 (2018): 641.
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