Farnaz Tehranchi

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NCS-FO: Fully Wireless Flexible Electrical-Acoustic Implant for High-Resolution Neural Stimulation and Recording at Large Scale
Chen, H., Kiani, M., Jackson, T. N., Tehranchi, F. & Trolier-McKinstry, S. E.
National Science Foundation
8/1/22 → 7/31/25
Project: Research project

5 Conference contribution
4 Paper
1 Article
1 Review article

Predicting Learning and Retention of a Complex Task Using a Cognitive Architecture
Tehranchi, F., Oury, J. D. & Ritter, F. E., 2021, p. 1077-1083. 7 p.
Research output: Contribution to conference › Paper › peer-review
1 Scopus citations
Extending Jsegman to interact with a biased coin task and a spreadsheet task
Tehranchi, F. & Ritter, F. E., 2020, Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling. Stewart, T. C. (ed.). Applied Cognitive Science Lab, Penn State, p. 259-260 2 p. (Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Some futures for cognitive modeling and architectures: design patterns for including better interaction with the world, moderators, and improved model to data fits (and so can you)
Ritter, F. E., Tehranchi, F., Dancy, C. L. & Kase, S. E., Sep 1 2020, In: Computational and Mathematical Organization Theory. 26, 3, p. 278-306 29 p.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Testing a complex training task
Ritter, F. E., Tehranchi, F., Brener, M. & Wang, S., 2020, Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling. Stewart, T. C. (ed.). Applied Cognitive Science Lab, Penn State, p. 184-185 2 p. (Proceedings of ICCM 2019 - 17th International Conference on Cognitive Modeling).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Visual Attention during E-Learning: Eye-tracking Shows that Making Salient Areas More Prominent Helps Learning in Online Tutors
Tehranchi, F., Ritter, F. E. & Chae, C., 2020, p. 3165-3171. 7 p.
Research output: Contribution to conference › Paper › peer-review

Farnaz Tehranchi

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NCS-FO: Fully Wireless Flexible Electrical-Acoustic Implant for High-Resolution Neural Stimulation and Recording at Large Scale

Predicting Learning and Retention of a Complex Task Using a Cognitive Architecture

Extending Jsegman to interact with a biased coin task and a spreadsheet task

Some futures for cognitive modeling and architectures: design patterns for including better interaction with the world, moderators, and improved model to data fits (and so can you)

Testing a complex training task

Visual Attention during E-Learning: Eye-tracking Shows that Making Salient Areas More Prominent Helps Learning in Online Tutors

Farnaz Tehranchi

Fingerprint

Network

Projects

NCS-FO: Fully Wireless Flexible Electrical-Acoustic Implant for High-Resolution Neural Stimulation and Recording at Large Scale

Research output

Predicting Learning and Retention of a Complex Task Using a Cognitive Architecture

Extending Jsegman to interact with a biased coin task and a spreadsheet task

Some futures for cognitive modeling and architectures: design patterns for including better interaction with the world, moderators, and improved model to data fits (and so can you)

Testing a complex training task

Visual Attention during E-Learning: Eye-tracking Shows that Making Salient Areas More Prominent Helps Learning in Online Tutors