Name
Abstract | ||
|---|---|---|
Introduction. The Efficient coding hypothesis [1, 2] proposes that biological sensory processing has evolved to maximize the information transmitted to the brain from the environment, and should therefore be tuned to the statistics of the world. Metabolic and wiring considerations impose additional sparsity on these representations, such that the activity of individual neurons are as decorrelated as possible [3]. Efficient coding has provided a framework for understanding early sensory processing in both vision and audition, for example in explaining the receptive field properties of simple and complex cells in primary visual cortex (V1) and the tuning properties of auditory nerve fibres [4]. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-39802-5_36 | Living Machines |
Keywords | Field | DocType |
complex cell,efficient coding,receptive field property,efficient coding hypothesis,primary visual cortex,additional sparsity,biological sensory processing,whisker system,individual neuron,auditory nerve fibre,biomimetic pre-processing,early sensory processing | Receptive field,Tactile discrimination,Computer vision,Efficient coding hypothesis,Visual cortex,Computer science,Coding (social sciences),Artificial intelligence,Robot,Active touch,Sensory processing | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathew H. Evans | 1 | 72 | 10.13 |