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Chris Chatham is a postdoctoral researcher at Brown University.
[ Artificial Intelligence, Comparative Psychology, Computational Modeling ]
Stimulating the brain with high frequency electrical noise can supersede the beneficial effects observed from transcranial direct current stimulation, either anodal or cathodal (as well as those observed from sham stimulation), in perceptual learning, as newly reported by Fertonani, Pirully...
Posted by Chris Chatham at 11:04 AM • 0 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Developmental Psychology ]
Somehow, support vector machines learned the characteristic features of functional change in neural connectivity between the ages of 7 and 30 years. How exactly did they manage this?
Posted by Chris Chatham at 9:20 AM • 0 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Computational Modeling, Developmental Psychology ]
Two seemingly contradictory trends characterize brain development during childhood and adolescence: Diffuse to focal: a shift from relatively diffuse recruitment of neural regions to more focal and specific patterns of activity, whether in terms of the number of regions recruited,...
Posted by Chris Chatham at 1:06 PM • 0 Comments • 0 TrackBacks
[ Artificial Intelligence, Computational Modeling ]
"What we're seeking is not just one algorithm or one cool new trick - we're seeking a platform technology. In other words, we're not seeking the entirety of a collection of point solutions, what we're seeking is a platform technology...
Posted by Chris Chatham at 3:20 PM • 5 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Recent work has leveraged increasingly sophisticated computational models of neural processing as a way of predicting the BOLD response on a trial-by-trial basis. The core idea behind much of this work is that reinforcement learning is a good model for...
Posted by Chris Chatham at 6:08 PM • 0 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Computational Modeling, Developmental Psychology ]
How can we enhance perception, learning, memory, and cognitive control? For this we need a rigorous integration of neurobiological development with cognitive change - that is, a computational developmental cognitive neuroscience.
Posted by Chris Chatham at 11:35 AM • 2 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Thanks to an ingenious mistake, researchers functionally reverse the apparent organization of prefrontal cortex in a way predicted by theory.
Posted by Chris Chatham at 8:25 PM • 2 Comments • 0 TrackBacks
[ Artificial Intelligence, Cognitive Neuroscience, Computational Modeling ]
Difficulty-based explanations of hierarchical prefrontal recruitment are ruled-out in Badre et al's 2010 Neuron paper. They also highlight how a prefrontal circuit could support "parallel search" in discovering rules to govern behavior.
Posted by Chris Chatham at 3:11 PM • 4 Comments • 0 TrackBacks
[ 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 • 2 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
