Title |
A self-organizing model of perisaccadic visual receptive field dynamics in primate visual and oculomotor system
|
---|---|
Published in |
Frontiers in Computational Neuroscience, February 2015
|
DOI | 10.3389/fncom.2015.00017 |
Pubmed ID | |
Authors |
Bedeho M. W. Mender, Simon M. Stringer |
Abstract |
We propose and examine a model for how perisaccadic visual receptive field dynamics, observed in a range of primate brain areas such as LIP, FEF, SC, V3, V3A, V2, and V1, may develop through a biologically plausible process of unsupervised visually guided learning. These dynamics are associated with remapping, which is the phenomenon where receptive fields anticipate the consequences of saccadic eye movements. We find that a neural network model using a local associative synaptic learning rule, when exposed to visual scenes in conjunction with saccades, can account for a range of associated phenomena. In particular, our model demonstrates predictive and pre-saccadic remapping, responsiveness shifts around the time of saccades, and remapping from multiple directions. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 4% |
Germany | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 25% |
Student > Ph. D. Student | 4 | 17% |
Professor | 3 | 13% |
Researcher | 3 | 13% |
Other | 2 | 8% |
Other | 3 | 13% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 21% |
Nursing and Health Professions | 3 | 13% |
Medicine and Dentistry | 3 | 13% |
Neuroscience | 3 | 13% |
Computer Science | 2 | 8% |
Other | 4 | 17% |
Unknown | 4 | 17% |