The long-range goal of this research is to identify the cellular and circuit mechanisms responsible for maintaining persistent neural activity: a sustained change in sodium action potential firing related to short-term memory that has been observed in many brain areas. Our program combines experimental and theoretical studies of the oculomotor integrator, where persistent neural activity is related to a short-term memory of the current eye position. The experimental preparation is the goldfish, which, is particularly advantageous for a cellular and computational analysis of mechanisms.
Our specific aims are to test the following hypotheses: 1. Storage of the memory of eye position is completely localized in hindbrain Area I. 2. Cellular mechanisms maintain persistent neural activity. 3. Circuit mechanisms maintain persistent neural activity. 4. The variability and synchrony of persistent neural activity reflects network interactions. Methods Persistent neural activity in awake goldfish will be measured and perturbed by intracellular recording to test hypothetical cellular mechanisms of persistent neural activity. The intrinsic and synaptic conductances of integrator neurons will be studied in vitro, and a numerical model will be constructed from the results. Synaptic connectivity will be determined by intracellular fills in vivo and dual recording in vitro, and incorporated into a network of conductance-based model neurons. The effects of pharmacological agents on behavior and neural activity will be compared with model predictions. The properties of correlated neural activity will be measured with multielectrode recordings, and compared with network models. Health relatedness Persistent neural activity has consistently been observed in brain areas important in short-term memory, a central component of many cognitive abilities. Some mental disorders, such as schizophrenia, may involve deficits in short- term memory.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH060651-02
Application #
6392680
Study Section
Special Emphasis Panel (ZRG1-IFCN-7 (01))
Program Officer
Glanzman, Dennis L
Project Start
2000-09-01
Project End
2005-08-31
Budget Start
2001-09-01
Budget End
2002-08-31
Support Year
2
Fiscal Year
2001
Total Cost
$307,052
Indirect Cost
Name
Massachusetts Institute of Technology
Department
Other Basic Sciences
Type
Other Domestic Higher Education
DUNS #
City
Cambridge
State
MA
Country
United States
Zip Code
02139
Kim, Christina K; Miri, Andrew; Leung, Louis C et al. (2014) Prolonged, brain-wide expression of nuclear-localized GCaMP3 for functional circuit mapping. Front Neural Circuits 8:138
Miri, Andrew; Daie, Kayvon; Arrenberg, Aristides B et al. (2011) Spatial gradients and multidimensional dynamics in a neural integrator circuit. Nat Neurosci 14:1150-9
Miri, Andrew; Daie, Kayvon; Burdine, Rebecca D et al. (2011) Regression-based identification of behavior-encoding neurons during large-scale optical imaging of neural activity at cellular resolution. J Neurophysiol 105:964-80
Harvey, Christopher D; Collman, Forrest; Dombeck, Daniel A et al. (2009) Intracellular dynamics of hippocampal place cells during virtual navigation. Nature 461:941-6
Werfel, Justin; Xie, Xiaohui; Seung, H Sebastian (2005) Learning curves for stochastic gradient descent in linear feedforward networks. Neural Comput 17:2699-718
Goldman, Mark S (2004) Enhancement of information transmission efficiency by synaptic failures. Neural Comput 16:1137-62