Blake Richards

Blake Richards

McGill University

H-index: 30

North America-Canada

About Blake Richards

Blake Richards, With an exceptional h-index of 30 and a recent h-index of 28 (since 2020), a distinguished researcher at McGill University, specializes in the field of Machine Learning, Learning and Memory, Neural Networks, Neural Circuits.

His recent articles reflect a diverse array of research interests and contributions to the field:

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Formalizing locality for normative synaptic plasticity models

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL

A unified, scalable framework for neural population decoding

Learning better with Dale’s Law: A Spectral Perspective

Responses to pattern-violating visual stimuli evolve differently over days in somata and distal apical dendrites

Sequential predictive learning is a unifying theory for hippocampal representation and replay

Addressing Sample Inefficiency in Multi-View Representation Learning

Blake Richards Information

University

Position

Assistant Professor

Citations(all)

5931

Citations(since 2020)

4528

Cited By

2753

hIndex(all)

30

hIndex(since 2020)

28

i10Index(all)

49

i10Index(since 2020)

45

Email

University Profile Page

Google Scholar

Blake Richards Skills & Research Interests

Machine Learning

Learning and Memory

Neural Networks

Neural Circuits

Top articles of Blake Richards

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

arXiv preprint arXiv:2404.02258

2024/4/2

Blake Richards
Blake Richards

H-Index: 18

Formalizing locality for normative synaptic plasticity models

Advances in Neural Information Processing Systems

2024/2/13

Contrastive Retrospection: honing in on critical steps for rapid learning and generalization in RL

Advances in Neural Information Processing Systems

2024/2/13

A unified, scalable framework for neural population decoding

Advances in Neural Information Processing Systems

2024/2/13

Learning better with Dale’s Law: A Spectral Perspective

Advances in Neural Information Processing Systems

2024/2/13

Arna Ghosh
Arna Ghosh

H-Index: 4

Blake Richards
Blake Richards

H-Index: 18

Responses to pattern-violating visual stimuli evolve differently over days in somata and distal apical dendrites

Journal of Neuroscience

2024/1/31

Sequential predictive learning is a unifying theory for hippocampal representation and replay

bioRxiv

2024

Addressing Sample Inefficiency in Multi-View Representation Learning

arXiv preprint arXiv:2312.10725

2023/12/17

Temporal encoding in deep reinforcement learning agents

Scientific Reports

2023/12/15

Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites

arXiv preprint arXiv:2312.05484

2023/12/9

Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses

Behavioral and Brain Sciences

2023/12/6

On the Information Geometry of Vision Transformers

2023/11/29

On the Varied Faces of Overparameterization in Supervised and Self-Supervised Learning

2023/11/29

Sufficient conditions for offline reactivation in recurrent neural networks

2023/10/13

The study of plasticity has always been about gradients

2023/8

The neuroconnectionist research programme

2023/7

Synaptic weight distributions depend on the geometry of plasticity

The Twelfth International Conference on Learning Representations

2024/5

Responses of pyramidal cell somata and apical dendrites in mouse visual cortex over multiple days

Scientific Data

2023/5/17

See List of Professors in Blake Richards University(McGill University)

Co-Authors

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