Artificial neural network performance based on correlation analysis qualitatively comparable with human performance in behavioral signal detection experiments

Author:

Diederich Nick12ORCID,Ziegler Martin1,Kaernbach Christian3

Affiliation:

1. Micro- and Nanoelectronic Systems, Institute of Micro- and Nanotechnologies–IMN MacroNano®, Technische Universität Ilmenau, Ilmenau, Germany

2. Nanoelectronics, Faculty of Engineering, University of Kiel, Kiel, Germany

3. Department of Psychology, Experimental and Biological Psychology, University of Kiel, Kiel, Germany

Abstract

We elucidate the interplay of the entorhinal cortex and the hippocampal dentate gyrus during pattern separation tasks by providing a new simulation model. Functional memory formation and processing of similar memory content is illuminated from within the system. For the first time orthogonalized spiking patterns are evaluated with signal detection theory methods, and the results are applied to clinically established and novel tests.

Funder

Deutsche Forschungsgemeinschaft

Publisher

American Physiological Society

Subject

Physiology,General Neuroscience

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