Zobrazeno 1 - 10
of 392
pro vyhledávání: '"O'Reilly, Randall"'
Autor:
Yoo, S. J. Ben, El-Srouji, Luis, Datta, Suman, Yu, Shimeng, Incorvia, Jean Anne, Salleo, Alberto, Sorger, Volker, Hu, Juejun, Kimerling, Lionel C, Bouchard, Kristofer, Geng, Joy, Chaudhuri, Rishidev, Ranganath, Charan, O'Reilly, Randall
The human brain has immense learning capabilities at extreme energy efficiencies and scale that no artificial system has been able to match. For decades, reverse engineering the brain has been one of the top priorities of science and technology resea
Externí odkaz:
http://arxiv.org/abs/2403.19724
Autor:
Webb, Taylor W., Frankland, Steven M., Altabaa, Awni, Segert, Simon, Krishnamurthy, Kamesh, Campbell, Declan, Russin, Jacob, Giallanza, Tyler, Dulberg, Zack, O'Reilly, Randall, Lafferty, John, Cohen, Jonathan D.
A central challenge for cognitive science is to explain how abstract concepts are acquired from limited experience. This has often been framed in terms of a dichotomy between connectionist and symbolic cognitive models. Here, we highlight a recently
Externí odkaz:
http://arxiv.org/abs/2309.06629
Bayesian interpretations of neural processing require that biological mechanisms represent and operate upon probability distributions in accordance with Bayes' theorem. Many have speculated that synaptic failure constitutes a mechanism of variational
Externí odkaz:
http://arxiv.org/abs/2210.01691
Autor:
Webb, Taylor W., Frankland, Steven M., Altabaa, Awni, Segert, Simon, Krishnamurthy, Kamesh, Campbell, Declan, Russin, Jacob, Giallanza, Tyler, O’Reilly, Randall, Lafferty, John, Cohen, Jonathan D.
Publikováno v:
In Trends in Cognitive Sciences September 2024 28(9):829-843
Publikováno v:
CogSci 2022, 44
Neural networks struggle in continual learning settings from catastrophic forgetting: when trials are blocked, new learning can overwrite the learning from previous blocks. Humans learn effectively in these settings, in some cases even showing an adv
Externí odkaz:
http://arxiv.org/abs/2202.04773
The transitive inference (TI) task assesses the ability to generalize learned knowledge to new contexts, and is thought to depend on the hippocampus (Dusek & Eichenbaum, 1997). Animals or humans learn in separate trials to choose stimulus A over B, B
Externí odkaz:
http://hdl.handle.net/10150/610021
http://arizona.openrepository.com/arizona/handle/10150/610021
http://arizona.openrepository.com/arizona/handle/10150/610021
The Bayesian brain hypothesis postulates that the brain accurately operates on statistical distributions according to Bayes' theorem. The random failure of presynaptic vesicles to release neurotransmitters may allow the brain to sample from posterior
Externí odkaz:
http://arxiv.org/abs/2111.09780
Autor:
Rohrlich, John, O'Reilly, Randall C.
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 mechanism for this learning is general but computationally local. We hypoth
Externí odkaz:
http://arxiv.org/abs/2108.06065
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 inferences and actions (generativity). Here, we propose that the human b
Externí odkaz:
http://arxiv.org/abs/2108.03387
The neural mechanisms supporting flexible relational inferences, especially in novel situations, are a major focus of current research. In the complementary learning systems framework, pattern separation in the hippocampus allows rapid learning in no
Externí odkaz:
http://arxiv.org/abs/2105.08944