Karthik Shankar
Affiliations: | Syracuse University, Syracuse, NY, United States |
Area:
human memory, computational modelingGoogle:
"Karthik Shankar"Mean distance: 15.41 (cluster 23) | S | N | B | C | P |
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Publications
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| Howard MW, Shankar KH. (2017) Neural Scaling Laws for an Uncertain World. Psychological Review |
| Shankar KH, Singh I, Howard MW. (2016) Neural Mechanism to Simulate a Scale-Invariant Future. Neural Computation. 1-34 |
| Shankar KH, Howard MW. (2016) Scale-free memory to swiftly generate fuzzy future predictions Advances in Intelligent Systems and Computing. 415: 185-194 |
| Howard MW, Shankar KH, Aue WR, et al. (2015) A distributed representation of internal time. Psychological Review. 122: 24-53 |
| Kar P, Farsinezhad S, Zhang X, et al. (2014) Anodic Cu₂S and CuS nanorod and nanowall arrays: preparation, properties and application in CO₂ photoreduction. Nanoscale. 6: 14305-18 |
| Howard MW, MacDonald CJ, Tiganj Z, et al. (2014) A unified mathematical framework for coding time, space, and sequences in the hippocampal region. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 34: 4692-707 |
| Tiganj Z, Shankar KH, Howard MW. (2013) Encoding the Laplace transform of stimulus history using mechanisms for persistent firing Bmc Neuroscience. 14 |
| Zhang X, Han F, Shi B, et al. (2012) Photocatalytic conversion of diluted CO2 into light hydrocarbons using periodically modulated multiwalled nanotube arrays. Angewandte Chemie (International Ed. in English). 51: 12732-5 |
| Howard MW, Viskontas IV, Shankar KH, et al. (2012) Ensembles of human MTL neurons "jump back in time" in response to a repeated stimulus. Hippocampus. 22: 1833-47 |
| Shankar KH, Howard MW. (2012) A scale-invariant internal representation of time. Neural Computation. 24: 134-93 |