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
Publications
11 items
Reasoning with Neural Cellular Automata
2026
Cited
0
Diffusion as a Training Curriculum for Timestep-Free Iterative Reasoning
2026
Cited
0
A game theory for foundation models shows new paths to rational cooperation through similarity inference
2026
Cited
0
Balancing Plasticity and Stability with Fast and Slow Successor Features
2026
Cited
0
NeuroAI and Beyond: Bridging Between Advances in Neuroscience and ArtificialIntelligence
2026
Cited
0
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
Resume
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
4 total
Timothy P. Lillicrap
Timothy P. Lillicrap
Director of Research, Google DeepMind
Adam Santoro
Adam Santoro
Google DeepMind
Konrad Paul Kording
Konrad Paul Kording
Nathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMB
Danilo Bzdok
Danilo Bzdok
Canada CIFAR AI Chair at McGill University & Mila Quebec AI Institute, Montreal