Category: Receptive field estimation

• SFN 2014 poster – converging encoding strategies in dorsal and ventral visual streams

  I have a poster session on Sunday afternoon at SFN 2014 in DC. It’s on a spiffy new method I’ve been working on for estimating the nonlinear transformation performed by an ensemble of sensory neurons, and its application to understanding visual representation in the dorsal and ventral visual streams. Some background: there’s a growing consensus…

  November 14, 2014

• PhD thesis – Parametric Models of Visual Cortex at Multiple Scales

  *Updated Sun April 6th* Well it’s done! I successfully defended my thesis on April 3rd. I now have what I’ve been longing for all these years – an obnoxious title that I can remind people of whenever I’m about to lose an argument. Unfortunately, this only works when erguing with non-PhDs. Entitled Parametric Models of…

  April 2, 2014

• Non-negative matrix factorization for receptive field analysis

  Using Non-negative matrix factorization instead of SVD Sujay, a labmate of mine came to me with an interesting analysis problem. He’s looking at perisaccadic changes in receptive fields in V4. The saccade-triggered receptive fields shows two activations: an initial one at the pre-saccadic location, and a later one at the remapped location. Basically, the activation…

  April 1, 2014

• Tips on using crcns datasets

  I’ve mentioned before that the CRCNS web site has a number of neural datasets available for download. To save you some time, here’s some tips to get you up and running for specific datasets. V2-1 data Jack Gallant’s V2 dataset is really interesting; I think it’s fair to say that we know very little about…

  March 29, 2014

• Workshop on statistical challenges in neuroscience

  My old buddy Simon Barthelmé as well as Nicolas Chopin and Adam Johansen are organizing a 3-day workshop in Warwick, UK in September on statistical challenges in neuroscience. Some of the invited speakers include J.D. Victor, Robert Kass and Aapo Hyvärinen. Great chance to discuss and present your latest methods-heavy research. Here’s the pitch: Workshop…

  January 22, 2014

• More neural datasets from CRCNS

  From its humble beginnings about 5 years ago, the CRCNS data sharing website has grown into a very useful resource for modelers looking to test out their theories and algorithms on neural datasets. Vision-wise, the dataset includes: eye tracking data fMRI with natural images mouse LGN cat, primate primary visual cortex with natural images, gratings…

  January 10, 2014