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Explores the importance of real-time sensory feedback in enhancing the control and functional impact of prosthetic hands through various neuroengineering methods.
Explores machine learning models for neuroscience, focusing on understanding brain function and core object recognition through convolutional neural networks.
Explores vision research, optic nerve regeneration, and bio-realistic models in the mouse visual cortex, focusing on optic nerve stimulation and visual learning.
Explores phase transitions in physics and computational problems, highlighting challenges faced by algorithms and the application of physics principles in understanding neural networks.
Explores neuron classification in in silico neuroscience, emphasizing challenges in reconstructing neuronal morphologies and the importance of accurate classifications.
