Measuring information spatial densities

Authors:
Michele Bezzi;Inés Samengo;Stefan Leutgeb;Sheri J. Mizumori
Affiliations:
Cognitive Neuroscience Sector, S.I.S.S.A, Trieste, Italy, and INFM sez. di Firenze, 2 I-50125 Firenze, Italy;Cognitive Neuroscience Sector, S.I.S.S.A, Trieste, Italy;Program in Neuroscience and Department of Psychology, University of Utah, Salt Lake City, UT;Psychology Department, University of Washington, Seattle, WA
Venue:
Neural Computation
Year:
2002

Citing 1
Cited 3

An Information-Theoretic Approach to Deciphering the Hippocampal Code

Advances in Neural Information Processing Systems 5, [NIPS Conference]

Estimating Information Rates with Confidence Intervals in Neural Spike Trains

Neural Computation
Expressing privacy metrics as one-symbol information

Proceedings of the 2010 EDBT/ICDT Workshops
An information theoretic approach for privacy metrics

Transactions on Data Privacy

Quantified Score

Hi-index	0.00

Visualization

Abstract

A novel definition of the stimulus-specific information is presented, which is particularly useful when the stimuli constitute a continuous and metric set, as, for example, position in space. The approach allows one to build the spatial information distribution of a given neural response. The method is applied to the investigation of putative differences in the coding of position in hippocampus and lateral septum.