85 citations · 116 across the 5 of their papers we have counts for
7 papers
Adaptive Synaptic Failure Enables Sampling from Posterior Predictive Distributions in the Brain
Kevin McKee, Ian Crandell, Rishidev Chaudhuri +1
Bayesian interpretations of neural processing require that biological mechanisms represent and operate upon probability distributions in accordance with Bayes' theorem. Many have s…
Statistical Learning in Speech: A Biologically Based Predictive Learning Model
John Rohrlich, Randall C. O'Reilly
Infants, adults, non-human primates and non-primates all learn patterns implicitly, and they do so across modalities. The biological evidence supports the hypothesis that the mecha…
The Structure of Systematicity in the Brain
Randall C. O'Reilly, Charan Ranganath, Jacob L. Russin
A hallmark of human intelligence is the ability to adapt to new situations, by applying learned rules to new content (systematicity) and thereby enabling an open-ended number of in…
Deep Predictive Learning in Neocortex and Pulvinar
Randall C. O'Reilly, Jacob L. Russin, Maryam Zolfaghar +1
How do humans learn from raw sensory experience? Throughout life, but most obviously in infancy, we learn without explicit instruction. We propose a detailed biological mechanism f…
Neural Mechanisms of Human Decision-Making
Seth Herd, Kai Krueger, Ananta Nair +2
We present a computational and theoretical model of the neural mechanisms underlying human decision-making. We propose a detailed model of the interaction between brain regions, un…
Compositional generalization in a deep seq2seq model by separating syntax and semantics
Jake Russin, Jason Jo, Randall C. O'Reilly +1
Standard methods in deep learning for natural language processing fail to capture the compositional structure of human language that allows for systematic generalization outside of…