A deep learning framework for neuroscience - PMC
Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In the ...
Nat Neurosci . Author manuscript; available in PMC: 2020 Aug 12. Published in final edited form as: Nat Neurosci. 2019 Oct 28;22(11):1761–1770. doi: 10.1038/s41593-019-0520-2 A deep learning framework for neuroscience Blake A Richards Blake A Richards 1 Mila, Montréal, QC, Canada 2 School of Computer Science, McGill University, Montréal, QC, Canada 3 Department of Neurology & Neurosurgery, McGill University, Montréal, QC, Canada 4 Canadian Institute for Advanced Research, Toronto, ON, Canada Find articles by Blake A Richards 1, 2, 3, 4, # , Timothy P Lillicrap Timothy P Lillicrap 5 DeepMind, I
related reading
- Could a Neuroscientist Understand a Microprocessor? | PLOS Computational Biologyjournals.plos.org
- Neuroscience is pre-paradigmatic. Consciousness is whytheintrinsicperspective.com
- Neural networks and deep learningneuralnetworksanddeeplearning.com
- So how does learning work?cs.mcgill.ca
- Multimodal Neurons in Artificial Neural Networksdistill.pub
- No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuitbiorxiv.org
- Computational and systems neuroscience: The next 20 yearspmc.ncbi.nlm.nih.gov
- nn-notes.pdfboris-hanin.github.io
- Dimensionality reduction in neural data analysisxcorr.net
- Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findingsnature.com
- Trading places: What happens when neuroscience turns into machine learning, and machine learning turns into neuroscience?thetransmitter.org
- My computational framework for the brain — LessWronglesswrong.com