Theoretical neuroscience and deep learning theory
What is cognitive science?
Pattern-Information Analysis: Columnar Sensitivity, Stimulus Decoding, and Computational-Model Testing
Scene Understanding Symposium
The Unreasonable Effectivness Of Deep Learning
Kernel Methods and Perceptual Classification
Correlations and signatures of criticality in neural population models
Learning in Hierarchical Architectures: from Neuroscience to Derived Kernels
State estimation and prediction based on dynamic spike train decoding: noise, adaptation, and multisensory integration
Beyond inspiration: Five lessons from biology on building intelligent machines