Ordered thought and behavior rests on the brain's capacity to absorb the structure of experience associated with favorable outcomes, i.e., rules. This allows us to imagine possible goals and provides mental navigation to reach them. These mechanisms are dysfunctional or lost following frontal lobe stroke and in schizophrenia and Parkinson's disease. They are also co-opted by drugs of addiction. During the last funding period, we used multiple electrodes (up to 50) to compare and contrast brain areas in the frontal lobe and temporal lobe of monkeys, areas critical for goal-directed behavior and implicated in neuropsychiatric disorders and drug addiction, while monkeys performed disparate rule-guided behaviors. We now aim to use our lab's expertise in multiple electrode recording and complex behaviors to test major hypotheses of their role in goal-directed rule learning. Our results so far are in line with models suggesting that the basal ganglia is specialized for fast acquisition of simple associations and that it helps train slower acquisition of more elaborate rules in the executive prefrontal cortex: Thus, is critical to know how ubiquitous or rare these effects are. Finding the same pattern for different types of learning would strongly support these hypotheses, while determining its limitations would provide insight into functional specializations. We will record simultaneously from the prefrontal cortex and striatum during different types of stimulus-response (SR) learning, compare SR and stimulus-stimulus learning, and determine the influence of reversal learning, which is known to be prefrontal cortex-dependent. We will also test the hypothesis that the prefrontal cortex and striatum are specialized for elaborate versus simple rules, respectively. Our monkeys will switch between applying three different rules, the basic logical operations, AND, OR, and XOR, while we record from the prefrontal and striatum. These rules bridge a critical distinction (linear versus non-linear) yet share a logical relation (one can be built from the other two). This allows head-to-head comparison between rules that have different complexities but have the same formal requirements. Because rule-learning is a fundamental cognitive function, data from this project has the potential to impact on a wide range of human behaviors and disorders and by doing so open a path to drug and behavioral therapies that will alleviate them. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
5R01NS035145-12
Application #
7465373
Study Section
Special Emphasis Panel (ZRG1-IFCN-E (03))
Program Officer
Babcock, Debra J
Project Start
1997-01-01
Project End
2012-05-31
Budget Start
2008-06-01
Budget End
2009-05-31
Support Year
12
Fiscal Year
2008
Total Cost
$318,935
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Other Basic Sciences
Type
Schools of Arts and Sciences
DUNS #
001425594
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Jia, Nan; Brincat, Scott L; Salazar-Gómez, Andrés F et al. (2017) Decoding of intended saccade direction in an oculomotor brain-computer interface. J Neural Eng 14:046007
Puig, M Victoria; Miller, Earl K (2015) Neural Substrates of Dopamine D2 Receptor Modulated Executive Functions in the Monkey Prefrontal Cortex. Cereb Cortex 25:2980-7
Puig, M V; Antzoulatos, E G; Miller, E K (2014) Prefrontal dopamine in associative learning and memory. Neuroscience 282:217-29
Puig, M Victoria; Miller, Earl K (2012) The role of prefrontal dopamine D1 receptors in the neural mechanisms of associative learning. Neuron 74:874-86
Cromer, Jason A; Machon, Michelle; Miller, Earl K (2011) Rapid association learning in the primate prefrontal cortex in the absence of behavioral reversals. J Cogn Neurosci 23:1823-8
Warden, Melissa R; Miller, Earl K (2010) Task-dependent changes in short-term memory in the prefrontal cortex. J Neurosci 30:15801-10
Siegel, Markus; Warden, Melissa R; Miller, Earl K (2009) Phase-dependent neuronal coding of objects in short-term memory. Proc Natl Acad Sci U S A 106:21341-6
Buschman, Timothy J; Miller, Earl K (2009) Serial, covert shifts of attention during visual search are reflected by the frontal eye fields and correlated with population oscillations. Neuron 63:386-96
Histed, Mark H; Pasupathy, Anitha; Miller, Earl K (2009) Learning substrates in the primate prefrontal cortex and striatum: sustained activity related to successful actions. Neuron 63:244-53
Fusi, Stefano; Asaad, Wael F; Miller, Earl K et al. (2007) A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales. Neuron 54:319-33

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