#  2016 

 



 ##  

  expand\_more  

 
  

 

[**The fuzzy logic of network connectivity in mouse visual thalamus**](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4808248/)

Morgan JL, Berger DR, Wetzel AW, Lichtman JW. The fuzzy logic of network connectivity in mouse visual thalamus. *Cell*. 2016;165(1):192-206. doi:10.1016/j.cell.2016.02.033.

PMCID: PMC4808248

[**From**](https://www.annualreviews.org/doi/full/10.1146/annurev-neuro-071714-033954?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed&) [**Cajal to Connectome and Beyond**](https://www.annualreviews.org/doi/full/10.1146/annurev-neuro-071714-033954?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub=pubmed&)

Swanson LW and Lichtman JW. 2016. From Cajal to Connectome and Beyoond. Annu. Rev. Neurosci., 2016. 39:197-216, doi: 10.1146/annurev-neuro-0717140033954. PMID: 27442070

[**Icon: An interactive approach to train deep neural networks for segmentation of neuronal structures**](https://arxiv.org/pdf/1610.09032.pdf)

Gonda F, Kaynig V, Thouis R, Haehn D, Lichtman JW, Parag T, Pfister H. (2016). ICON: An interactive approach to train deep neural networks for segmentation of neuronal structures. Submitted Oct. 27, 2016