Year |
Citation |
Score |
2015 |
Tang A, Beaton EA, Tatham E, Schulkin J, Hall GB, Schmidt LA. Processing of different types of social threat in shyness: Preliminary findings of distinct functional neural connectivity. Social Neuroscience. 1-23. PMID 25855888 DOI: 10.1080/17470919.2015.1030036 |
0.33 |
|
2010 |
Chen W, Hobbs JP, Tang A, Beggs JM. A few strong connections: optimizing information retention in neuronal avalanches. Bmc Neuroscience. 11: 3. PMID 20053290 DOI: 10.1186/1471-2202-11-3 |
0.691 |
|
2010 |
Yeh FC, Tang A, Hobbs JP, Hottowy P, Dabrowski W, Sher A, Litke A, Beggs JM. Maximum entropy approaches to living neural networks Entropy. 12: 89-106. DOI: 10.3390/E12010089 |
0.665 |
|
2008 |
Tang A, Jackson D, Hobbs J, Chen W, Smith JL, Patel H, Prieto A, Petrusca D, Grivich MI, Sher A, Hottowy P, Dabrowski W, Litke AM, Beggs JM. A maximum entropy model applied to spatial and temporal correlations from cortical networks in vitro. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 505-18. PMID 18184793 DOI: 10.1523/Jneurosci.3359-07.2008 |
0.712 |
|
2008 |
Smith JL, Hobbs J, Tang A, Jackson D, Chen W, Patel H, Prieto A, Sher A, Litke A, Beggs JM. Network Comparison of Epileptogenic Human Cortex and Excited Rat Cortex Journal of Neurosurgery: Pediatrics. 1: A351-A352. DOI: 10.3171/PED/2008/1/4/PAPER4 |
0.687 |
|
2008 |
Tang A, Honey CJ, Hobbs J, Sher A, Litke AM, Sporns O, Beggs JM. Information flow in local cortical networks is not democratic Bmc Neuroscience. 9. DOI: 10.1186/1471-2202-9-S1-O3 |
0.625 |
|
2007 |
Hsu D, Tang A, Hsu M, Beggs JM. Simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 76: 041909. PMID 17995028 DOI: 10.1103/Physreve.76.041909 |
0.632 |
|
2007 |
Tang A, Hobbs J, Chen W, Jackson D, Smith JL, Patel H, Beggs JM. A second-order maximum entropy model predicts correlated network states, but not their evolution over time Bmc Neuroscience. 8: P32. DOI: 10.1186/1471-2202-8-S2-P32 |
0.706 |
|
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