© Dan McCloskey 2015 Contact
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Our laboratory studies cooperative behavior in the highly social naked mole-rat.
We use automated approaches in a laboratory housing enviornment to monitor movement, social interaction and object manipulation.
We utilize the CUNY High Performance Computing Center for data analytics on these measures.
These approaches allow us to identify individual differences in social behavior which can be used to measure neural correlates.
We use electrophysiological tools to monitor neuron function from the level of the isolated single cell to the whole brain.
Our methods range from patch clamp measures on cultured neurons through single channel and multi-channel recording of acutely isolated brain regions, to EEG in awake moving animals.
These approaches allow us to identify cell and curcuit level differences related to the seizure-proneness of naked mole-rats, and will eventually allow us to measure neural function related to social behavior.
Using unbiased sampling and 3D reconstruction of confocal image stacks we measure structures of interest in the study of the social behavior and epilepsy.
Additional use of new high throughput quantitatie anatomy techniques allows for rapid estimates of total neuron number in specific brain regions.
Computational data mining approaches allow for analyses and cross-species comparison based on publicly available datasets.
Dan McCloskey is an associate professor of Psychology at the College of Staten Island, a senior college of The City University of New York (CUNY) where he is a member of the Center for Developmental Neuroscience. He holds doctoral appointments at the Stony Brook University in 2003. Dr. McCloskey uses a combination of computationally-intensive approaches to study animal behavior, quantitative neuroanatomy, and single cell and network level electrophysiology.
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