Eric Shea-Brown
6 papers · 2016–2023 · 1 conference · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
NIPS (6)
Top co-authors
Keywords
recurrent neural network
(3)
credit assignment
(2)
gradient descent
(2)
brain connectivity
(1)
loss landscape
(1)
hierarchical representation
(1)
brain imaging
(1)
singular value decomposition
(1)
matrix completion
(1)
biological plausibility
(1)
score matching
(1)
neural representation
(1)
biologically plausible learning
(1)
probabilistic sampling
(1)
convolutional neural network
(1)
learning dynamics
(1)
stochastic differential equation
(1)
langevin sampling
(1)
backpropagation through time
(1)
deep linear network
(1)
Papers
Expressive probabilistic sampling in recurrent neural networks
NIPS 2023
Biologically-plausible backpropagation through arbitrary timespans via local neuromodulators
NIPS 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules
NIPS 2022
Learning dynamics of deep linear networks with multiple pathways
NIPS 2022
Comparison Against Task Driven Artificial Neural Networks Reveals Functional Properties in Mouse Visual Cortex
NIPS 2019
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression
NIPS 2016