Blake Richards
Scholar

Blake Richards

Google Scholar ID: 1CPY1LsAAAAJ
Mila + McGill University
Machine LearningLearning and MemoryNeural NetworksNeural Circuits
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Citations & Impact
All-time
Citations
7,186
 
H-index
36
 
i10-index
63
 
Publications
20
 
Co-authors
45
list available
Contact
No contact links provided.
Publications
6 items
Inhibitory normalization of error signals improves learning in neural circuits
2026
Cited
0
Interpreting Physics in Video World Models
2026
Cited
0
Know Thyself by Knowing Others: Learning Neuron Identity from Population Context
2025
Cited
0
Embedded Universal Predictive Intelligence: a coherent framework for multi-agent learning
2025
Cited
0
Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware SSL
2025
Cited
0
Steering CLIP's vision transformer with sparse autoencoders
2025
Cited
0
Resume (English only)
Background
  • Researcher at McGill University
  • Affiliated with Mila and The Neuro
  • Research interests: general principles of learning and memory in neural networks
  • Aims to understand how real and artificial brains can optimise behaviour
  • Motivated by fascination with memory and the brain’s unmatched general-purpose learning capabilities compared to current AI systems
Co-authors
45 total
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Timothy P. Lillicrap
Timothy P. Lillicrap
Director of Research, Google DeepMind
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