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Chris Chatham is a grad student at the University of Colorado, Boulder.
[ Artificial Intelligence, Developmental Psychology, Link Posts ]
I've been busy writing up a new paper, and expect the reviews back on another soon, so ... sorry for the lack of posts. But this should be of interest: The Dana Foundation has just posted an interview with Terrence...
Posted by Chris Chatham at 4:05 PM • 1 Comments • 0 TrackBacks
[ 
, Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Most computational models of working memory do not explicitly specify the role of the parietal cortex, despite an increasing number of observations that the parietal cortex is particularly important for working memory. A new paper in PNAS by Edin et...
Posted by Chris Chatham at 11:26 AM • 0 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
A principal insight from computational neuroscience for studies of higher-level cognition is rooted in the recurrent network architecture. Recurrent networks, very simply, are those composed of neurons that connect to themselves, enabling them to learn to maintain information over time...
Posted by Chris Chatham at 2:57 PM • 2 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Reductionism in the neurosciences has been incredibly productive, but it has been difficult to reconstruct how high-level behaviors emerge from the myriad biological mechanisms discovered with such reductionistic methods. This is most clearly true in the case of the motor...
Posted by Chris Chatham at 12:22 PM • 1 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience, Computational Modeling, Developmental Psychology ]
A new artificial neural network revives an old debate on the benefits of constraints in learning.
Posted by Chris Chatham at 11:36 AM • 0 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience ]
An early classic in computational neuroscience was a 1993 paper by Elman called "The Importance of Starting Small." The paper describes how initial limitations in a network's memory capacity could actually be beneficial to its learning of complex sentences, relative...
Posted by Chris Chatham at 11:00 AM • 8 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience ]
What if training ourselves on one task yielded improvements in all other tasks we perform? This is the promise of the cognitive training movement, which is increasingly showing that such "far transfer" of training is indeed possible, while short of...
Posted by Chris Chatham at 11:23 AM • 8 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience ]
Much evidence supports the idea that parietal cortex is involved in the simple maintenance of information, such as in object permanence paradigms (also here) and other tasks. This evidence is part of the justification for the "parietofrontal integration theory", which...
Posted by Chris Chatham at 1:01 PM • 1 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience, Developmental Psychology ]
To enhance any system, one first needs to identify its capacity-limiting factor(s). Human cognition is a highly complex and multiply constrained system, consisting of both independent and interdependent capacity-limitations. These "bottlenecks" in cognition are reviewed below as a coherent framework...
Posted by Chris Chatham at 9:23 AM • 5 Comments • 0 TrackBacks
[ , Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Working memory - the ability to hold information "in mind" in the face of environmental interference - has traditionally been associated with the prefrontal cortices (PFC), based primarily on data from monkeys. High resolution functional imaging (such as fMRI) have...
Posted by Chris Chatham at 12:43 PM • 0 Comments • 0 TrackBacks
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