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Role of Hippocampus in Memory

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Optimizing for generalization in the decoding of internally generated activity in the hippocampus.

Matthijs A A van der Meer¹, Alyssa A Carey¹, Youki Tanaka¹

¹Department of Psychological and Brain Sciences, Dartmouth College, Hanover, North Hampshire.

|February 9, 2017

Summary

Decoding covert neural activity, like memory recall, is challenging without ground truth. Optimizing decoders for generalization using cross-validation improves performance and offers practical insights for neuroscience research.

Keywords:

Bayesian cross-validation encoding hippocampal sequences replay

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Decoding neural activity requires a ground truth for performance comparison.
Decoding covert cognitive neural activity (e.g., memory recall, planning) lacks a known ground truth, complicating decoder configuration.

Purpose of the Study:

To propose and validate a cross-validation approach for optimizing decoders of covert neural activity when ground truth is unknown.
To investigate the impact of a modified Bayesian decoding procedure using spike density functions on decoding accuracy.

Main Methods:

Employed ensemble recording data from hippocampal place cells.
Utilized cross-validation to optimize decoder generalization performance.
Modified the Bayesian decoding procedure to incorporate spike density functions.

Main Results:

Cross-validation yielded different decoding errors, optimal parameters, and error distributions compared to standard methods.
The modified Bayesian decoding procedure significantly reduced decoding errors.
The approach demonstrated effectiveness in decoding neural activity related to cognitive processes.

Conclusions:

Cross-validation is a recommended strategy for configuring decoders of covert neural activity with unknown ground truth.
Minor modifications to Bayesian decoding, such as using spike density functions, can substantially improve performance.
Findings offer practical implications for interpreting covert neural activity and refining decoding methodologies, particularly for hippocampal place cells.