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BRAINTRAINING:LEARNINGTHEORY,USE
PATTERNS,TRAININGPLANS&PROTOCOLS
Presented by Leslie Sherlin, PhD
CC-AASP, QEEGD, BCN, BCB
LESLIESHERLIN,PHD
CC-AASP, QEEGD, BCN, BCB
Co-Founder & Chief Science Officer
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
VERSUS:ABRAINSENSINGHEADSET&APP
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)
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.
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.
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.

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.
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.
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.
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
GAMEMECHANICS
TRACKINGPROGRESS
TRACKINGPROGRESS
TRACKINGPROGRESS
TRACKINGPROGRESS
Q&A
ADDITIONALQUESTIONS
support@getversus.com

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Brain Training: Learning Theory, Use Patterns, Training Plans & Protocols

  • 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
  • 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.
  • 38. Q&A