Eldar et al show that neural gain influences learning style. Subjects learned associations between pictures and reward. The association could be based on different stimulus dimensions and different people had different predispositions for one dimension or the other. Eldar et al assessed neural gain by pupil dilation (which is correlated with locus coeruleus norepinephrine activity) and found that the higher the gain, the more likely subjects were to follow their predispositions. The increase in gain was thought to boost the asymmetry of strength between different functional networks which are responsible for the predisposition in learning style.
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Miller Lab graduate student Simon Kornblith publishes a paper in Neuron from work in his old lab. By combining FMRI with electrode recording and stimulation, they found an area in the occipitotemporal cortex that has many scene-selective neurons, the lateral place patch (LPP). By stimulating it, they discover connections to several other cortical areas, including a medial place patch (MPP) in the parahippocampal gyrus. Elegant and important work, Simon, congratulations! Now, get back to work. ?
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A flurry of articles about Picower Institute’s Susumu Tonegawa’s paper implanting false memories in the mouse brain. They identified and tagged a memory engram for one environment, then activated that engram in a different environment while pairing it with shock. Later, the animals showed fear in the first environment as if they were shocked there.
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The journal Cortex will peer-review your experimental plan. If accepted, they agree to publish your results, regardless of how they turn out. But you must release your raw data so others can have at it.
Article in the Guardian -
Shenhav, Botvinick, and Cohen tie together a number of observations and notions into a new theory of ACC function: allocation of control based on an evaluation of the expected value of control (EVC).
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Dave Eagleman spells it out for us.
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Pinto et al, despite enough statistical power, fail to see any correlation between performance of a top-down attention task (search) and a bottom-up attention task (singleton capture). They argue that top-down and bottom-up attention systems operate independently.
They cite our work, which suggests that top-down vs bottom up attention signals originate from prefrontal vs parietal cortex:
Buschman, T.J. and Miller, E.K. (2007) Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science. 315: 1860-1862 The Scientist’s “Hot Paper” for October 2009. View PDF » -
Dipoppa and Gutkin propose a model of working memory in which gamma-beta oscillations gates access, theta oscillations protects working memory from distractions, and alpha oscillations clears out old memories.
This is consistent with our observations that beta helps from ensembles for rules held in working memory while alpha clears out a dominant ensemble so that a weaker one can be used:
Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D. and Miller, E.K. (2012) Synchronous oscillatory neural ensembles for rules in the prefrontal cortex. Neuron, 76: 838-846. View PDF -
Radiologists looking for lung nodules miss the a gorilla inserted into the images. Even experts doing their job are subject to inattentional blindness.
Drew et al -
Zhang et al studied rule-based behavior by either having human subjects choose the rule themselves or by instructing them to the rule. They found context-dependent and context-independent (chosen vs instructed) rule representations in frontal and parietal cortex. This gives insight into the architecture of cognitive control.