INFINITI FOR THE LEARNING

CURVE (TLC) SUITE

This suite presents François Dupont's sophisticated but easy-to-run scripts to transfer data recorded with the Infiniti system to the TLC spreadsheet.This limited edition suite is designed for Thought Technology BioGraph Infiniti users to enable them to record 2, 4, or 6 channels of EEG data for transfer to the TLC Excel Files. The TLC method provides numerous integrated views of the data from 10 to 18 sites and entails a process for examining brain patterns as a basis for determining training plans quickly and effectively. The Infiniti for The Learning Curve (TLC) Suite also provides basic training screens for Infiniti users that have been trained to use the TLC approach created by Peter Van Deusen.

NOTE: The TLC Suite is standalone software that allows BioGraph Infiniti users to collect data and export the many statistics. These statistics are of value however they do not provide the maps and clinical advice offered by The Learning Curve (TLC) assessment. The interpretation of the TLC assessment -- and instruction on its use -- is provided by TLC and not the BFE. For more details on the TLC assessment and how to interpret the data you need to contact Peter Van Deusen and the Learning Curve organization that teaches this interpretation.

IMPORTANT NOTE: To function properly, BFE Limited Edition suites require the use of the latest version of BioGraph Infiniti software and Thought Technology Infiniti hardware *. If you do NOT have access to BioGraph Infiniti software and Thought Technology Infiniti hardware, the BFE software in the suite will be of NO VALUE to you.

Technical Support for the suite is provided as a courtesy by the BFE IREP Teams based on their availability. The Learn From the Best program does not support Limited Edition Software Suites for clinical practice or research projects.

Due to the size of the media in the suite, separate instructions will be sent via email on how to download and install these additional materials for the software to run.

Class recommendations: