In this presentation Leslie Sherlin, PhD, introduces the training concepts behind Versus. You'll learn learning theory principles, training plans & protocol selection, training mechanics (EEG principles), game mechanics, as well as how Versus tracks progress & use.

1. BRAINTRAINING:LEARNINGTHEORY,USE
PATTERNS,TRAININGPLANS&PROTOCOLS
Presented by Leslie Sherlin, PhD
CC-AASP, QEEGD, BCN, BCB

2. LESLIESHERLIN,PHD
CC-AASP, QEEGD, BCN, BCB
Co-Founder & Chief Science Officer

3. INTRODUCTION
• Versus is a mobile device that assesses and quantifies
underlying brain performance metrics
• Part one of multiple on “brain training”
• This part 1 webinar will focus on introducing a broad
range of training concepts:
– Learning Theory Principles
– Training Plans and Protocol selection
– Training Mechanics (EEG principles)
– Game Mechanics
– Tracking Progress and Use

4. VERSUS:ABRAINSENSINGHEADSET&APP

5. LEARNINGTHEORYPRINCIPLES
• We discussed EEG previously but remembering these
principles is important.
– The brain makes electricity and those electrical
patterns reflect characteristics of trait and state.
– We have modeled performance shifts and can
compare those to elite performers
– The strengths and weaknesses found from the
NeuroPerformance Assessment can guide training to
impact performance.
• Intended usage on content specific to performance
(currently deploying and intensifying focus and stress
abilities)

6. LEARNINGTHEORYPRINCIPLES
• Thorndike’s Law of Effect: “If a response in the presence of a stimulus is
followed by a satisfying event, the association between the stimulus and
the response is strengthened. If the response is followed by an annoying
event, the association is weakened.”
• Classical Conditioning (Pavlov): “The alteration in responding that
occurs when two stimuli are regularly paired in close succession: the
response originally given to the second stimulus comes to be given to
the first”
• Operant Conditioning (Skinner): “A process of behavior modification in
which a subject is encouraged to behave in a desired manner through
positive or negative reinforcement, so that the subject comes to
associate the pleasure or displeasure of the reinforcement with the
behavior.”
• http://bit.ly/1gXTMNF Sherlin, L., Arns, M., Lubar, J., Heinrich, H., Kerson, C., Strehl,
U., & Sterman, M. B. (2011). Neurofeedback and basic learning theory: Implications for
research and practice. Journal of Neurotherapy, 15(4), 292-304.

7. TRAININGPLANS
• A training plan consists of multiple training
protocols.
• A training plan is selecting based on the outcomes
of the NeuroPerformance Assessment
• An algorithm considering the outcomes of
evaluation determines the weakest metric. This is
usually indicated by the lowest score but not
always.
• A training protocol is completed for 450 minutes.

8. TRAININGPROTOCOLS
• A training protocol consists of a combination of:
– sensor sites
– frequency bands
– EEG metrics
• Our training protocols details are not published. They are
based on well established scientific and academic
publications and our own validation studies within the high
performing populations.
• We do have support documentation describing the goal of
each protocol and the basic brain characteristics to succeed.

9. TRAININGPROTOCOLS
• Focus Index
– Focus Capacity
• Increase the ability to rule out distractions and
concentrate on the most productive aspects of
the moment.
– Focus Endurance
• Increase the ability to maintain focus for long
durations.
– Impulse Control
• Increase the ability to make effective
• decisions and inhibit strong impulses by activating
our decision making and motor control centers.

10. TRAININGPROTOCOLS
• Stress Index
– Stress Capacity/Recovery (Activation Baseline)
• Goal: Learn to quiet the mind and down regulate cortical
activation. These protocols are assigned when a user’s
activation baseline score is low due to over-arousal, or an
overactive brain.
– Max Activation
• Helps the user identify how to maximize the differential
between resting and activation brain states by teaching them
to have more “on-demand” attention intensity for optimal
engagement during tasks.
– Stress Regulation
• Increase stability of brain states in our executive and sensory
processing centers to enhance resilience to changes in the
environment.

11. TRAININGMECHANICS
• Artifact handling
– A complex set of algorithms are implemented to determine what is an
artifact and what is real data.
– Any data that is determined to be an artifact is marked and no feedback
can be received on that information.
– Some artifacts can be “ignored” so that training can be uninterrupted.
• Baseline
– At the beginning of each session a baseline is established for the user.
– All thresholds for training are set based on these values.
– All thresholds are set based on the individuals’ previous level.
• Levels
– We provide levels to adjust thresholds based on progress.
– We do NOT auto threshold based on a percentage of success.
– Levels are preset shifts of EEG activity that must be achieved. When the
user shifts the EEG in the desired direction they get feedback. When this
has occurred reaching a time requirement the level is increased and the
thresholds are made more challenging.

12. GAMEMECHANICS

13. GAMEMECHANICS

14. GAMEMECHANICS

15. GAMEMECHANICS

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19. GAMEMECHANICS

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33. GAMEMECHANICS

34. TRACKINGPROGRESS

35. TRACKINGPROGRESS

36. TRACKINGPROGRESS

37. TRACKINGPROGRESS

38. Q&A

39. ADDITIONALQUESTIONS
support@getversus.com