most citedA Multi-Pass Approach to Large-Scale Connectomics

40 citations · 63 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.QM201640 cited

A Multi-Pass Approach to Large-Scale Connectomics

Yaron Meirovitch, Alexander Matveev, Hayk Saribekyan +8

The field of connectomics faces unprecedented "big data" challenges. To reconstruct neuronal connectivity, automated pixel-level segmentation is required for petabytes of streaming…

q-bio.NC201423 cited

Johnson-Lindenstrauss Compression with Neuroscience-Based Constraints

Zeyuan Allen-Zhu, Rati Gelashvili, Silvio Micali +1

Johnson-Lindenstrauss (JL) matrices implemented by sparse random synaptic connections are thought to be a prime candidate for how convergent pathways in the brain compress informat…

cs.DC2014

On the Importance of Registers for Computability

Rati Gelashvili, Mohsen Ghaffari, Jerry Li +1

All consensus hierarchies in the literature assume that we have, in addition to copies of a given object, an unbounded number of registers. But why do we really need these register…

cs.DC2014

The LevelArray: A Fast, Practical Long-Lived Renaming Algorithm

Dan Alistarh, Justin Kopinsky, Alexander Matveev +1

The long-lived renaming problem appears in shared-memory systems where a set of threads need to register and deregister frequently from the computation, while concurrent operations…

cs.DC2014

Inherent Limitations of Hybrid Transactional Memory

Dan Alistarh, Justin Kopinsky, Petr Kuznetsov +2

Several Hybrid Transactional Memory (HyTM) schemes have recently been proposed to complement the fast, but best-effort, nature of Hardware Transactional Memory (HTM) with a slow, r…