Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Institutional National Research Service Award (T32)
Project #
5T32EY007110-09
Application #
2161330
Study Section
Special Emphasis Panel (SRC (03))
Project Start
1988-09-30
Project End
1998-08-31
Budget Start
1996-09-01
Budget End
1997-08-31
Support Year
9
Fiscal Year
1996
Total Cost
Indirect Cost
Name
Harvard University
Department
Genetics
Type
Schools of Medicine
DUNS #
082359691
City
Boston
State
MA
Country
United States
Zip Code
02115
Ing-Esteves, Samantha; Kostadinov, Dimitar; Marocha, Julie et al. (2018) Combinatorial Effects of Alpha- and Gamma-Protocadherins on Neuronal Survival and Dendritic Self-Avoidance. J Neurosci 38:2713-2729
Gómez-Laberge, Camille; Smolyanskaya, Alexandra; Nassi, Jonathan J et al. (2016) Bottom-Up and Top-Down Input Augment the Variability of Cortical Neurons. Neuron 91:540-547
Trott, Alexander R; Born, Richard T (2015) Input-gain control produces feature-specific surround suppression. J Neurosci 35:4973-82
Ruff, Douglas A; Born, Richard T (2015) Feature attention for binocular disparity in primate area MT depends on tuning strength. J Neurophysiol 113:1545-55
Born, Richard T; Trott, Alexander R; Hartmann, Till S (2015) Cortical magnification plus cortical plasticity equals vision? Vision Res 111:161-9
Kostadinov, Dimitar; Sanes, Joshua R (2015) Protocadherin-dependent dendritic self-avoidance regulates neural connectivity and circuit function. Elife 4:
Hauser, Jessica L; Liu, Xiaojin; Litvina, Elizabeth Y et al. (2014) Prolonged synaptic currents increase relay neuron firing at the developing retinogeniculate synapse. J Neurophysiol 112:1714-28
Histed, Mark H; Ni, Amy M; Maunsell, John H R (2013) Insights into cortical mechanisms of behavior from microstimulation experiments. Prog Neurobiol 103:115-30
Fitzgerald, Jamie K; Swaminathan, Sruthi K; Freedman, David J (2012) Visual categorization and the parietal cortex. Front Integr Neurosci 6:18
Schwartz, Daniel; Chou, Michael F; Church, George M (2009) Predicting protein post-translational modifications using meta-analysis of proteome scale data sets. Mol Cell Proteomics 8:365-79

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