OpenNeuron | Publications
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Biophysical Modelling and Related Publications


  • Hawrylycz M, Anastassiou C, Arkhipov A, Berg J, Buice M, Cain N, Gouwens NW, Gratiy S, Iyer R, Lee JH, Mihalas S, Mitelut C, Olsen S, Reid RC, Teeter C,de Vries S, Waters J, Zeng H, Koch C; MindScope. Inferring cortical function in the mouse visual system through large-scale systems neuroscience. Proc Natl Acad Sci USA. 2016 Jul 5;113(27):7337-44.
  • Jun J, Steminetz N, Siegle J, Denman D, Bausa M, Barbarits B, Anastassiou C, Andrei A, Aydin C, Barbic M, Blanche T, Bonin V, Carandini M, Couto J, Dutta B, Gratiy S, Gusnisky D, Harris K, Hausser M, Karsh B, Koch C, Ledochowitsch P, Lee A, Mora Lopez C, Mitelut C, Musa S, O’Keefe J, Okun M, Pachiatriu M, Putzeys J, Rich, PD, Rossant C, Sun W, Svoboda K, Harris T et al, Neuropixels: Advanced Silicon Recording Probes for High-Density Sampling of Neural Activity (Under review; Nature, 2017).
  • Jun J, Mitelut C, Lai C, Gratiy S, Anastassiou C, Harris T., Real-time spike sorting platform for high-density extracellular probes with ground-truth validation and drift correction (bioRxiv; 2017).
  • Gratiy S, Billeh Y, Mitelut C, Dai K, Feng D, Gouwens N, Cain N, Anastassiou A, Arkipov A. BioNet: Simulating large-scale biophysically detailed networks (SFN 2017).
  • Mitelut C., Gratiy SL, Denman D, Siegle JH, Durand S, Godfrey K, Lee C, Reid C, Hawrylycz M, Koch C, Swindale NV, Anastassiou C, Standardizing spike sorting: an in vitro, in silico and In vivo study to develop quantitative metrics for sorting extracellularly recorded spiking activity, (SFN 2015).
  • Mitelut C., Gratiy SL, Durand S, Mizuseki K, Godfrey K, Lee C, Blanche T, Swindale N, Reid C, Hawrylycz M, Koch C, Anastassiou C, On spike detection and the development of quantitative measures for spike clustering using “ground truth” data: A computational and slice electrophysiology study. (SFN 2014).


Electrophysiology and Imaging


  • Mitelut C, Spacek M, Chan A, Murphy T, Swindale N. Synchronized State Local Field Potential Classes Reveal Multiple UP-State Types and Non-Stationary Temporal Neural Codes. (In preparation).
  • Mitelut C, Luo AX, Silasi G, Sekino Y, Boyd JD, Bolanos F, Swindale NV, Murphy TH, Movement Initiation in GCaMP6s Mice is Preceded by Stereotyped, Multi-Second Dorsal Cortex Dynamics, (SFN 2017)
  • Swindale N, Mitelut C, Murphy T., Spacek, M, A Visual Guide to Sorting Electrophysiological Recordings using ‘SpikeSorter’, J. Vis. Exp. (120), e55217, doi:10.3791/55217 (2017).
  • Xiao D*, Vanii M*, Mitelut C*, Chan AW, Xie Y, Chen AC, Swindale N, Murphy T, Mapping cortical mesoscopic networks of single spiking cortical or sub-cortical neurons. (*Equal contribution). Elife. 2017 Feb 4; 6. pii: e19976. doi: 10.7554/eLife.19976.
  • Haupt D, Vanii M, Bolanos F, Mitelut C, LeDue J, Murphy T, Mesoscale Brain Explorer, a flexible Python-based image analysis and visualization tool. (In press; Neurophotonics, 2017).
  • Mitelut C., Vanni M, Xiao D, Xie Y, Chan A, Chen A, Swindale N, Murphy T, Mapping cortical mesoscopic networks linked to single cortical and sub-cortical neuron spiking, Neurofutures, Seattle, Washington, USA 2016.
  • Mitelut C., Spacek M, Xiao D, Murphy T, Swindale N, Local Field Potential Events in Synchronized State in Cat V1 Cluster and Correlate with Single-Unit Activity, Brain States: Characterization and Neurmodulation by Deep Brain Stimulation, Cologne, Germany (2015).