Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100249921> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W3100249921 startingPage "169284" @default.
- W3100249921 abstract "We developed Convis, a Python simulation toolbox for large scale neural populations which offers arbitrary receptive fields by 1D, 2D and 3D convolutions executed on a graphics card. The resulting software proves to be flexible and easily extensible in Python, while building on the PyTorch library, which was previously used successfully in deep learning applications, for just-in-time optimization and compilation of the model onto CPU or GPU architectures. An alternative implementation based on Theano is also available, although not fully supported. Through automatic differentiation, any parameter of a specified model can be optimized to approach a desired output which is a significant improvement over e.g. Monte Carlo or particle optimizations without gradients. We show that a number of models including even complex non-linearities such as contrast gain control and spiking mechanisms can be implemented easily. We show in this paper that we can in particular recreate the simulation results of a popular retina simulation software VirtualRetina (Wohrer and Kornprobst, 2009), with the added benefit of providing (1) arbitrary linear filters instead of the product of Gaussian and exponential filters and (2) optimization routines utilizing the gradients of the model. We demonstrate the utility of 3d convolution filters with a simple direction selective filter. Also we show that it is possible to optimize the input for a certain goal, rather than the parameters, which can aid the design of experiments as well as closed-loop online stimulus generation. Yet, Convis is more than a retina simulator. For instance it can also predict the response of V1 orientation selective cells. Convis is open source under the GPL-3.0 license and available from https://github.com/jahuth/convis/ with documentation at https://jahuth.github.io/convis/." @default.
- W3100249921 created "2020-11-23" @default.
- W3100249921 creator A5005884869 @default.
- W3100249921 creator A5030948059 @default.
- W3100249921 creator A5067823972 @default.
- W3100249921 date "2017-11-24" @default.
- W3100249921 modified "2023-10-08" @default.
- W3100249921 title "A Retina Model Based on Convolutions on the GPU" @default.
- W3100249921 cites W1522975959 @default.
- W3100249921 cites W1528209651 @default.
- W3100249921 cites W1968991669 @default.
- W3100249921 cites W1999352990 @default.
- W3100249921 cites W2018915052 @default.
- W3100249921 cites W2042934568 @default.
- W3100249921 cites W2043630083 @default.
- W3100249921 cites W2047471257 @default.
- W3100249921 cites W2061939373 @default.
- W3100249921 cites W2063640158 @default.
- W3100249921 cites W2063861811 @default.
- W3100249921 cites W2108442351 @default.
- W3100249921 cites W2132361536 @default.
- W3100249921 cites W2174781702 @default.
- W3100249921 cites W2308050473 @default.
- W3100249921 cites W2315788237 @default.
- W3100249921 cites W2325303973 @default.
- W3100249921 cites W2384495648 @default.
- W3100249921 cites W2569475573 @default.
- W3100249921 cites W2624192543 @default.
- W3100249921 cites W2736874493 @default.
- W3100249921 cites W2752480826 @default.
- W3100249921 cites W2752579226 @default.
- W3100249921 cites W65153236 @default.
- W3100249921 cites W766819170 @default.
- W3100249921 hasPublicationYear "2017" @default.
- W3100249921 type Work @default.
- W3100249921 sameAs 3100249921 @default.
- W3100249921 citedByCount "0" @default.
- W3100249921 crossrefType "posted-content" @default.
- W3100249921 hasAuthorship W3100249921A5005884869 @default.
- W3100249921 hasAuthorship W3100249921A5030948059 @default.
- W3100249921 hasAuthorship W3100249921A5067823972 @default.
- W3100249921 hasConcept C11413529 @default.
- W3100249921 hasConcept C121332964 @default.
- W3100249921 hasConcept C121684516 @default.
- W3100249921 hasConcept C163716315 @default.
- W3100249921 hasConcept C199360897 @default.
- W3100249921 hasConcept C21442007 @default.
- W3100249921 hasConcept C2777904410 @default.
- W3100249921 hasConcept C41008148 @default.
- W3100249921 hasConcept C459310 @default.
- W3100249921 hasConcept C519991488 @default.
- W3100249921 hasConcept C62520636 @default.
- W3100249921 hasConceptScore W3100249921C11413529 @default.
- W3100249921 hasConceptScore W3100249921C121332964 @default.
- W3100249921 hasConceptScore W3100249921C121684516 @default.
- W3100249921 hasConceptScore W3100249921C163716315 @default.
- W3100249921 hasConceptScore W3100249921C199360897 @default.
- W3100249921 hasConceptScore W3100249921C21442007 @default.
- W3100249921 hasConceptScore W3100249921C2777904410 @default.
- W3100249921 hasConceptScore W3100249921C41008148 @default.
- W3100249921 hasConceptScore W3100249921C459310 @default.
- W3100249921 hasConceptScore W3100249921C519991488 @default.
- W3100249921 hasConceptScore W3100249921C62520636 @default.
- W3100249921 hasOpenAccess W3100249921 @default.
- W3100249921 hasRelatedWork W1586796697 @default.
- W3100249921 hasRelatedWork W2013959289 @default.
- W3100249921 hasRelatedWork W2083986745 @default.
- W3100249921 hasRelatedWork W2147114369 @default.
- W3100249921 hasRelatedWork W2152014477 @default.
- W3100249921 hasRelatedWork W2297538655 @default.
- W3100249921 hasRelatedWork W2315649786 @default.
- W3100249921 hasRelatedWork W2328959101 @default.
- W3100249921 hasRelatedWork W2388772822 @default.
- W3100249921 hasRelatedWork W2548137223 @default.
- W3100249921 hasRelatedWork W2773313889 @default.
- W3100249921 hasRelatedWork W2786406308 @default.
- W3100249921 hasRelatedWork W2899392717 @default.
- W3100249921 hasRelatedWork W2902409898 @default.
- W3100249921 hasRelatedWork W2979365412 @default.
- W3100249921 hasRelatedWork W3024264164 @default.
- W3100249921 hasRelatedWork W3045877795 @default.
- W3100249921 hasRelatedWork W3159269070 @default.
- W3100249921 hasRelatedWork W3209648960 @default.
- W3100249921 hasRelatedWork W571601976 @default.
- W3100249921 isParatext "false" @default.
- W3100249921 isRetracted "false" @default.
- W3100249921 magId "3100249921" @default.
- W3100249921 workType "article" @default.