Given the same sensory information, we generate different responses in different situations, depending on our goal, task rule, etc. This flexibilit is a hallmark of cognition and involves gated routing of information flow in the brain circuitry, the underlying mechanism remains largely mysterious. The overarching objective of the proposed research is to elucidate computational principles and circuit basis of gated computation and flexible sensori-motor mapping in decision-making. I propose that gating is accomplished by four complementary mechanisms: (a) tunable dendritic inhibition by a subclass of GABAergic neurons for input gating, (b) "pathway-specific excitation-inhibition balance" for processing in discrete stages, (c) top-down signaling from rule representation for network selection, (d) a "STOP" process for inhibitory control of automatic response. I will rigorously investigate these mechanisms in biologically based circuit models, in collaboration with experimentalists who are carrying out single-neuron physiological experiments in which monkeys perform flexible visuo-motor tasks. In a paradigmatic task of controlled action, the appropriate response to a sensory target is to either shift the gaze toward it (pro-saccade) or away from it (anti-saccade) depending on task context. In "colored-target" tasks, a perceptual decision about an ambiguous stimulus or a probabilistic inference based on sensory cues must be made, before the subject knows when and how the decision will be used to guide action selection. Our model will be tested by quantitatively reproducing single-neuron activity data as well as behavioral performance, and uncovering the underlying circuit mechanisms that will be testable in new experiments.
In Aim 1, I will examine circuit mechanisms for gating, including input-specific dendritic inhibition and the idea of "pathway-specific excitation-inhibition balance.
Aim 2 will be devoted to rule-based action selection, by developing a detailed circuit model of the pro-/anti-saccade task.
In Aim 3, I will examine gated neural dynamics when perceptual decision and action selection are temporally separated. We will build spiking network models for versions of the random dot motion direction discrimination task and weather prediction task. The pro-/anti-saccade and colored-target visuo-motor tasks all depend on flexible routing of information from a sensory decision circuit to an action selection circuit, which confers a strong cohesiveness to this application. This research program will shed insights into complex dynamics of neurons endowed with mixed selectivity that underlie adaptive coding in flexible behavior.

Public Health Relevance

Impaired behavioral flexibility and executive control are robust characteristics of schizophrenic and ADHD patients. The parieto-frontal circuitry has been demonstrated to be critical for decision-making and inhibitory control of action, both in human imaging studies and animal physiological experiments. However, we still do not understand core computations and their underlying mechanisms. Brain circuit modeling proposed in this application, with a focus on the parieto-frontal system, will elucidate gating mechanisms that underlie flexible visuo-motor behavior. It will be capable of accounting for single-neuron data and performance data from behaving animals, and provide a platform to elucidate the brain circuit mechanisms of different types of behavioral errors observed in humans. By uncovering the required biological mechanisms for flexible behavior, our work has a high potential for understanding molecular and circuit abnormalities that cause these cognitive deficits associated with mental illness like Schizophrenia and ADHD.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
7R01MH062349-12
Application #
8586352
Study Section
Sensorimotor Integration Study Section (SMI)
Program Officer
Glanzman, Dennis L
Project Start
2000-12-01
Project End
2017-10-31
Budget Start
2013-12-20
Budget End
2014-10-31
Support Year
12
Fiscal Year
2014
Total Cost
$333,945
Indirect Cost
$108,945
Name
New York University
Department
Neurology
Type
Schools of Arts and Sciences
DUNS #
041968306
City
New York
State
NY
Country
United States
Zip Code
10012
Pereira, Jacinto; Wang, Xiao-Jing (2015) A Tradeoff Between Accuracy and Flexibility in a Working Memory Circuit Endowed with Slow Feedback Mechanisms. Cereb Cortex 25:3586-601
Wang, Xiao-Jing; Krystal, John H (2014) Computational psychiatry. Neuron 84:638-54
Yang, Genevieve J; Murray, John D; Repovs, Grega et al. (2014) Altered global brain signal in schizophrenia. Proc Natl Acad Sci U S A 111:7438-43
Anticevic, Alan; Yang, Genevieve; Savic, Aleksandar et al. (2014) Mediodorsal and visual thalamic connectivity differ in schizophrenia and bipolar disorder with and without psychosis history. Schizophr Bull 40:1227-43
Bernacchia, Alberto; Wang, Xiao-Jing (2013) Decorrelation by recurrent inhibition in heterogeneous neural circuits. Neural Comput 25:1732-67
Engel, Tatiana A; Wang, Xiao-Jing (2011) Same or different? A neural circuit mechanism of similarity-based pattern match decision making. J Neurosci 31:6982-96
Churchland, Anne K; Kiani, R; Chaudhuri, R et al. (2011) Variance as a signature of neural computations during decision making. Neuron 69:818-31
Bernacchia, Alberto; Seo, Hyojung; Lee, Daeyeol et al. (2011) A reservoir of time constants for memory traces in cortical neurons. Nat Neurosci 14:366-72
Wang, Xiao-Jing (2010) Neurophysiological and computational principles of cortical rhythms in cognition. Physiol Rev 90:1195-268
Ardid, Salva; Wang, Xiao-Jing; Gomez-Cabrero, David et al. (2010) Reconciling coherent oscillation with modulation of irregular spiking activity in selective attention: gamma-range synchronization between sensory and executive cortical areas. J Neurosci 30:2856-70

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