Optimal Encoding in Stochastic Latent-Variable Models
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks. Early stages of sensory communication in neural systems can be viewed as encoding channels in the information-theoretic sense. However, neural populations face constraints not commo...
Main Authors: | Michael E. Rule, Martino Sorbaro, Matthias H. Hennig |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-06-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/7/714 |
Similar Items
-
Burst firing is a neural code in an insect auditory system
Published: (2008-07-01) -
Bursts generate a non-reducible spike-pattern code
by: Hugo G Eyherabide, et al.
Published: (2009-05-01) -
Time and category information in pattern-based codes
by: Hugo G Eyherabide, et al.
Published: (2010-11-01) -
Sequential Recommendation through Graph Neural Networks and Transformer Encoder with Degree Encoding
by: Shuli Wang, et al.
Published: (2021-08-01) -
Photonic advantage of optical encoders
by: Huang Luocheng, et al.
Published: (2023-11-01)