Learning and Adaptation
From Ilya Nemenman
This is one of the Projects of Ilya Nemenman's lab. Email Ilya for details.
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What is this about?
I am interested in understanding the How? and the What? of mechanisms and functions responsible for estimation, adapation, and learning on multiple timescales and in various systems. I believe that the laws and the phenomena are the same irrespectively of the specific organism employing them. Correspondingly, my efforts are split almost equally between studying these effects in Animal learning, Neural coding, and Stochastic biochemistry.
Specific questions include:
- What types of adapatation are there?
- What are physiological mechanisms underlying adapations?
- Is learning/adaptation optimal in some well-defined sense in certain systems?
- How can power-law learning be achieved in physical systems with fixed exponential time scales?
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Results
- Nemenman, 2005 - here we analyzed how one can distinguish different types of learning performed by animals in various typical experiments
- Bialek et al., 2001a, Bialek et al., 2001b - these papers introduce the ideas of prediction and learning, and their quantification using information theory. Here we also defined three general learning complexity classes.
- Nemenman et al., 2007 - here we showed how neural code in the fly H1 neuron adapts to the signal on the scales of 10-30 ms to produce something akin to Δ-coding.
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Bibliography
These are the papers relevant for this topic.
