Neural Coding: Information Beyond Shannon
Abstract
One of the primary, and still largely unresolved, goals of computational neuroscience is 12 to understand how neurons process and convey information. Since the early studies, the challenges of understanding the principles of neuronal coding have attracted increasing number of scientists from different fields. Among the main themes of the workshop is: What can information theory tell us about information processing in neurons? Influence of environmental statistics on information coding in sensory neurons. Noise and its role in neuronal coding. The main impact of the workshop lies in the distribution of ideas and approaches that, although applied to different systems, share the common language of information theory. In particular, we believe that the computational neuroscience community has not yet fully benefited from the richness and generality of information theory as originally proposed by Shannon himself. Consequentially, workshops of this kind have the potential to change the perception of certain topics and perhaps, hopefully, provide solutions to some of the long-lasting questions in neuronal information processing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2013
- Accession Number
- ADA590125
Entities
People
- Alberto Apostolico
- Aurel A Lazar
- Benjamin Linder
- Concettina Guerra
- Frantisek Matus
- Lubomir Kostal
- Petr Lansky
- Ryota Kobayashi
- Shinsuke Koyama
- Toby Berger
Organizations
- Czech Academy of Sciences