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12/08/2022
Constraints on the design of neuromorphic circuits set by the properties of neural population codes
In the brain, information is encoded, transmitted and used to inform beh...
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10/12/2020
Causal learning with sufficient statistics: an information bottleneck approach
The inference of causal relationships using observational data from part...
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05/20/2019
Conditionally-additive-noise Models for Structure Learning
Constraint-based structure learning algorithms infer the causal structur...
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07/20/2018
Information Estimation Using Non-Parametric Copulas
Estimation of mutual information between random variables has become cru...
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03/01/2018
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
The ability to synthesize realistic patterns of neural activity is cruci...
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12/06/2017
Quantifying how much sensory information in a neural code is relevant for behavior
Determining how much of the sensory information carried by a neural code...
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11/13/2017
The identity of information: how deterministic dependencies constrain information synergy and redundancy
Understanding how different information sources together transmit inform...
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06/27/2017