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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
[ BPR 
, Cognitive Neuroscience, Computational Modeling ]
In their wonderful Neuroimage article, Braun & Mattia present a comprehensive introduction to the possible neuronal implementations and cognitive sequelae of a particular dynamical phenomenon: the attractor state. In another excellent paper, just recently out in Frontiers, Itskov, Hansel and...
Posted by Chris Chatham at 4:18 PM • 0 Comments • 0 TrackBacks
[ BPR , Cognitive Neuroscience, Computational Modeling ]
Owing to the low signal-to-noise ratio of functional magnetic resonance imaging, it is difficult to get a good estimate of neural activity elicited by task novelty: by the time one has collected enough trials for a good estimate, the task...
Posted by Chris Chatham at 10:41 AM • 4 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
[ Cognitive Neuroscience, Computational Modeling ]
One idea is that the brain might divvy up responsibility for tracking these goals & rewards between the hemispheres; but this simple division of labor smells like lots of ridiculous and outdated asymmetry theories. And that's why I'm dumbfounded.
Posted by Chris Chatham at 1:45 PM • 5 Comments • 0 TrackBacks
