Richards, Blake

A deep learning framework for neuroscience

Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 1,027

Hippocampal Neurogenesis Regulates Forgetting During Adulthood and Infancy

Akers, K. G., Martinez-Canabal, A., Restivo, L., Yiu, A. P., De Cristofaro, A., Hsiang, H.-L. (., Wheeler, A. L., Guskjolen, A., Niibori, Y., Shoji, H., et al. (2014) · Science

Neurogenesis and neuroplasticity mechanismsMemory and Neural Mechanisms

Cited by 761

Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets

Schulz, M.-A., Yeo, B. T. T., Vogelstein, J. T., Mourao-Miranada, J., Kather, J. N., Kording, K., Richards, B., & Bzdok, D. (2020) · Nature Communications

Machine Learning in HealthcareNeural Networks and Applications

Cited by 315

The neuroconnectionist research programme

Doerig, A., Sommers, R. P., Seeliger, K., Richards, B., Ismael, J., Lindsay, G. W., Kording, K. P., Konkle, T., van Gerven, M. A. J., Kriegeskorte, N., et al. (2023) · Nature Reviews Neuroscience

Neural Networks and ApplicationsNeural dynamics and brain function

Cited by 233

Patterns across multiple memories are identified over time

Richards, B. A., Xia, F., Santoro, A., Husse, J., Woodin, M. A., Josselyn, S. A., & Frankland, P. W. (2014) · Nature Neuroscience

Memory and Neural MechanismsMemory Processes and Influences

Cited by 150

The application of artificial intelligence to biology and neuroscience

Richards, B., Tsao, D., & Zador, A. (2022) · Cell

Artificial Intelligence ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 38

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution

Zador, A., Escola, S., Richards, B., Ölveczky, B., Bengio, Y., Boahen, K., Botvinick, M., Chklovskii, D., Churchland, A., Clopath, C., et al. (2022) · arXiv

Embodied and Extended CognitionPsychiatry, Mental Health, Neuroscience

Cited by 34

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

Golan, T., Taylor, J., Schütt, H., Peters, B., Sommers, R. P., Seeliger, K., Doerig, A., Linton, P., Konkle, T., van Gerven, M., et al. (2023) · Behavioral and Brain Sciences

Visual perception and processing mechanismsVisual Attention and Saliency Detection

Cited by 12

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

Raposo, D., Ritter, S., Richards, B., Lillicrap, T., Humphreys, P. C., & Santoro, A. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 8

The overfitted brain hypothesis

Prince, L. Y., & Richards, B. A. (2021) · Patterns

Sleep and Wakefulness ResearchMemory and Neural Mechanisms

Cited by 4