The HighIQPro 2G+ Increase IQ Formula


The DUAL N-BACK (for working memory)  + INTERFERENCE CONTROL (for attention focus) + INPUT GATING (for attention flexibility) + OUTPUT GATING (for rapid learning and abstraction) + MINDWARE STRATEGIES (for applied IQ training) + VALID IQ & BRAIN TESTS (for continuous tracking).

HighIQPro gated dual n-back (DNB)

2008 - Dual N-Back Training

Susanne Jaeggi, M. Buschkuehl, J. Jonides, W. J. Perrig publish their landmark study Improving fluid intelligence with training on working memory (ref) in which they show IQ gains from dual n-back training – both in working memory (Gwm) and in fluid reasoning (Gf). Their results are later confirmed by meta-analyses by Au et al (2015 – ref) and Anna Soveri et al (2017 – ref).

The finding that cognitive training can improve Gf is a landmark result because this form of intelligence has been claimed to be largely immutable. Instead of regarding Gf as an immutable trait, our data provide evidence that, with appropriate training, there is potential to improve Gf.

2008 - 'Mindware' Training

Stanovich & West publish On the relative independence of thinking biases and cognitive ability (ref) in which they show that working memory needs to work in sync with learned rules & strategies (‘mindware’) for effective reasoning.

…if the mindware available to the analytic system… has not been learned, then we have a case of a mindware gap

2011 - Interference Control : G Link

My fellow grad student from CMU – Todd Braver – and colleagues publish Neural Mechanisms of Interference Control Underlie the Relationship Between Fluid Intelligence and Working Memory Span (ref). This work identifies a critical role of interference control in the link between working memory – targeted by dual n-back training – and fluid reasoning.

…individual differences in interference control mechanisms are important for understanding the relationship between fluid intelligence and working memory span.

2013 - Interference Control Training

Oelhafen and colleagues publish their study on dual n-back interference control training – Increased parietal activity after training of interference control (ref). They conclude:

These findings suggest that training on an interference control task leads to higher activity in the parietal cortex, which may be related to improvements in processing speed, attentional control, or both.

2013 - WM Input and Output Gating

David Badre publishes his review of input gating,  maintenance and output gating functions of of working memory in Opening the gate to working memory (ref), drawing on computational modeling work by my grad school colleague Randy O’Reilly back in 2006.

[It is] useful to distinguish gathering contextual information, “input gating,” from allowing the information resident in working memory to influence behavior, “output gating.”

2016 - WM Gating Interventions

Unger et al publish Working memory gating mechanisms explain developmental change in rule-guided behavior (ref). From their data they distinguish input gated proactive control for self-regulation, and output gated reactive control, for learning, planning & reasoning. They conclude:

If the goal is to improve behavioral regulation…, an effective intervention might focus on…a more dominantly proactive mode of control, engaging input gating mechanisms. Interventions [for] rapid generalization of learning…emphasize practice with reactive control, taking advantage of the benefits they may confer to generalization [and planning & reasoning]


Scientific Basis of the 2G+ DNB formula


We know from a largely skeptical scientific press that many brain training apps do not work beyond practice effects specific to the games themselves (ref). But it has become clear from the ever-growing weight of peer-reviewed research that some types of brain training are effective for increasing IQ and cognitive control (1).

This post has been written to help explain the science underlying HighIQPro’s 2G+ DNB formula for increasing IQ, and how the app works in terms of the underlying brain processes. We’ll find that 2G+ DNB brain training combines into one powerful intervention package 4 major branches of cognitive neuroscience research – an intervention that is dedicated to increasing IQ – a measure of general intelligence (G).


Working Memory & Attention Control Training

One of the main principles of HighIQPro’s 2G+ DNB brain training is that it targets the brain’s working memory (WM) and attention systems as a way of increasing IQ.

Working memory is your ‘mental workspace’ – the amount of information you can focus on and process ‘online’ for problem solving, reasoning, planning, comprehending & decision-making. Our WM capacity  can also be thought of as our ability to control attention to manage the information our brain processes, and WM capacity is  key factor of IQ measured in the most widely used professional IQ tests (e.g. WAIS-IV). Along with other researchers (see figure), we understand WM and attention control to lie at the heart of general intelligence (G).


McGrew & Schneider’s model of G (IQ)

The 2G+ DNB formula combines working memory and attention control (sometimes called executive control) training – and is based on 5 branches of cognitive neuroscience research:


1. Dual N-Back: Evidence Based Increase IQ Training

The dual n-back (DNB) is the most widely studied brain training game with scientific credibility. It targets working memory capacity. There are many versions of the dual n-back game available online and in app stores, and  Some implement the lab versions more accurately than others. Many thousands of us have trained with the DNB and felt its brain benefits.

DNB brain training increases IQ in both working memory (Gwm) and fluid reasoning (Gf) – as well as improving attention control. The very latest 2017 ‘meta-analysis’ of all 33 published, randomized, controlled DNB trials from independent labs all around the  world (ref) finds there are real training effects of DNB brain training on IQ, beyond placebo effects and just getting good at the n-back game itself through practice.


Dual N-Back Training Benefits


Dr Au and colleagues’ earlier 2015 meta-analysis also found the same effect size of DNB brain training on fluid intelligence (ref). So we have two independent groups, reviewing all the available evidence on DNB training, coming to the same conclusion. Evidence doesn’t get better than this.

How can we interpret these effect sizes?  The effect size for working memory capacity (Gwm)  is  0.24. This is the same effect size of antidepressants such as Fluoxetine (Prozac) in treating depression (ref).  Certainly a lot has been invested in anti-depressants for their effectiveness! So we should take notice of this kind of effect size when it comes to improving IQ.


DNB brain training is known from multiple studies (Ref 1, Ref 2, Ref 3) to result in neuroplasticity change in the the fronto-parietal network (FPN). This is the brain’s ‘control hub’ and is also called the ‘executive control network’. It sends out top ­down signals for current task goals and exerts control by flexibly biasing information flow across multiple large-­scale functional networks. The FPN is a key network underlying intelligent, goal directed action and learning.

Dr Au and colleagues at the University of California conclude from their analysis of all the DNB studies to date:

“We urge that future studies move beyond attempts to answer the simple question of whether or not there is transfer [from training to increases in IQ] and, instead, seek to explore the nature and extent of how these improved test scores may reflect true improvements in intelligence that can translate into practical, real-world settings.”

And they argue:

“the results reported in this meta-analysis represent a low-end estimate of the true extent of improvement that n-back training can have on measures of fluid intelligence.”

The dual n-back is faithfully implemented in HighIQPro’s 2G+ DNB formula. 

But the dual n-back’s effectiveness is limited. The effect sizes are sub-optimal It does not target attention (executive) control. We can do a lot better!

My fellow cognitive neuroscience grad students from CMU – Prof. Randy O’Reilly (University of Colorado) & Prof. Tod Braver (Washington University)  (ref 1, ref 2, ref 3) – have shown that working memory has three core components:  input gating, maintenance and output gating. In 2G+ DNB brain training each component is separately targeted. This significantly improves the overall brain training effectiveness.


2. Input Gating (Updating) Training

When we attend to something relevant we open the input gate and sensory information is allowed to flow into the working memory system. For instance, when you are listening carefully to someone giving you instructions, you have to focus on what they are saying – not everything else that is going on around you. The instructions have to replace what you were thinking about before. This is called working memory updating, and the information is stored in the pre-frontal cortex (PFC).

My grad school colleague Prof. Tod Braver has shown that the input gate is opened via dopamine signals from the basal ganglia of the brain to the pre-frontal cortex in the frontal lobes where the information is updated (ref).

input gating working memory


In 2G+ DNB brain training, after you gain mastery with dual n-back training, you can train input gating and selective attention with games in which you switch your focus between different coloured circles and numbers vs audio in a ‘quad’ version of the dual n-back game. In this screenshot, the instructions are to focus on just the orange and audio letter stimuli – ignoring the lime circle and number stimuli.



 3. Maintenance & Interference Control Training

working memory maintenance interference controlIn our example, when your WM’s input gate is closed your pre-frontal cortex maintains the instructions you’ve been given in your ‘mental workspace’ that you will use for performing some task.  And while you are processing these instructions in WM, you don’t want distractions – like thinking about your lunch – to interfere with the task at hand. By focusing you have to buffer the information you need- and this is called interference control.

Research reveals that interference control is a critical link between high levels of fluid intelligence and working memory. Studies by my fellow grad student Tod Braver (ref) provide brain imaging evidence of a large overlap of intelligence and working memory brain circuitry when there is need for interference control on a task.

How does this work? Evidence suggests interference control training improving gamma wave synchrony and power in the hippocampus where – new brain circuits encode the chunks of perception needed for expertise.  Gamma band synchronization is critical for attention focus and chunking (ref).  During working memory tasks, information is segregated and ‘chunked’ into meaningful units via gamma synchrony. Interference control training makes this chunking process more efficient. It enhances gamma wave synchrony in the hippocampus resulting in a higher baseline gamma power. This in turn results in efficient formation of new brain cell circuits for meaningful ‘chunks’ in perception and working memory – which improves not only perception, but overall intelligence.

Stroop n-back


Standard dual n-back trains WM updating and maintenance, but not interference control. Interference control is built into HighIQPro’s 2G+ DNB brain training through a carefully designed sequencing of the n-back stimuli – when the sequence of stimuli repeats itself before the target is presented. This creates confusion where you have to ‘repeat yourself’ to keep the series of items in memory. This makes the dual n-back more challenging, but more effectively increases your IQ. We also implement this kind of training in the ‘Stroop’ n-back’ in which you have to e.g. ignore the meaning of the word, and just respond to the word’s colour. This causes an obvious conflict requiring interference control.



4. Output Gating Training

Not all information that you are keeping ‘online’ in your ‘mental workspace’ may be relevant to what you are currently trying to do. For instance, you need to apply the instructions you’ve just been told, just one step at a time. Or you may need to use certain combinations of information in WM to make a decision, but not other combinations. This kind of selection and management of workspace information for ‘downstream’ processing depends on the output gate

Studies have shown that WM output gating also depends on pre-frontal cortex circuitry, and is needed for:

  • Using complex rules effectively
  • Decision making and strategic actions
  • Planning and adaptive behaviour
  • Learning and generalization
  • Complex reasoning


Brain training that targets prefrontal cortex output gating is a big step up from classic dual n-back training.

We achieve this in HighIQPro’s 2G+ DNB, through ‘logic-gating’, where game players have to modify normal dual n-back responses depending on whether the audio and visuo-spatial matches occur alone or together.

Here we can see a schematic for XOR and AND game-modes. This is explained in the game itself and is easy to master once you can play the dual n-back, but this additional game feature has extra training benefits for your IQ and your capacity to learn.



5. Mindware Strategy Training


Mindware Strategies - HighIQPro


The term ‘mindware‘ was first coined by Perkins in his book Outsmarting IQ: The Emerging Science of Learnable Intelligence.  Mindware refers to the rules, knowledge, and strategies that  aid decision making and problem solving. Mindware is a term for thinking skills – your cognitive toolkit. The applied intelligence tutorials in the HighIQPro program will build the store of mindware you can utilize at any given time. The program improves your ability to override less smart knee-jerk, automatic responses while you problem solve, reason or make decisions – through  input gating and interference control training described above.




6. Continuous Brain Tracking

To enable you to track your brain training gains from the 2G+ DNB game, there are short pre, mid and post-training brain tests for:

  • attention flexibility
  • attention focus
  • processing speed
  • learning
  • reasoning (matrices)
  • working memory (spatial)
  • working memory (verbal)


Au, J., Buschkuehl, M., Duncan, G. J., & Jaeggi, S. M. (2015). There is no convincing evidence that working memory training is NOT effective: A reply to Melby-Lervåg and Hulme.  Psychonomic Bulletin & Review. Oct, 2015.

Au, J., Sheehan, E., Tsai, N., Duncan, G. J., Buschkuehl, M., & Jaeggi, S. M. (2015). Improving fluid intelligence with training on working memory: a meta-analysis. Psychonomic Bulletin & Review, 22(2), 366-377. Abstract

Barbey, A. K., Colom, R., Paul, E. J., Grafman, J. (2013). Architecture of fluid intelligence and working memory revealed by lesion mapping. Brain Structure and Function, 219, 2. 485-94. Article.

Barbey, A. K., Colom, R., Solomon, J., Krueger, F., Forbes, C., & Grafman, J. (2012). An integrative architecture for general intelligence and executive function revealed by lesion mapping. Brain, 135(4), 1154–1164.

Bogg, T., & Lasecki, L. (2014). Reliable gains? Evidence for substantially underpowered designs in studies of working memory training transfer to fluid intelligence. Frontiers in Psychology, 5, 1589. Abstract.

Braver, T. S., and Cohen, J. D. (2000). “On the control of control: the role of dopamine in regulating prefrontal function and working memory,” in Control of Cognitive Processes: Attention and Performance VIII, eds S. Monsell and J. S. Driver (Cambridge, MA: MIT Press), 713–737.

Greenwood, P. M., & Parasuraman, R. (2015). The Mechanisms of Far Transfer From Cognitive Training: Review and Hypothesis.Neuropsychology. [Ahead of print].

Hindin S.B., Zelinski E.M. Extended Practice and Aerobic Exercise Interventions Benefit Untrained Cognitive Outcomes in Older Adults: A Meta-Analysis. Journal of the American Geriatrics Society.2012;60(1):136–141. [Article]

Karbach, J., & Verhaeghen, P. (2014). Making working memory work: A meta-analysis of executive-control and working memory training in older adults. Psychological Science, 25, 2027–2037. 

Karr J.E., Areshenkoff C.N, Rast P, Garcia-Barrera M.A.  (2014). An Empirical Comparison of the Therapeutic Benefits of Physical Exercise and Cognitive Training on the Executive Functions of Older Adults: A Meta-Analysis of Controlled Trials. Neuropsychology, 28(6):829-45. [Article]

Jaeggi, S.M., Buschkuehl, M., Jonides, J., & Perrig, W.J. (2008). Improving fluid intelligence with training on working memory. Proceedings of the National Academy of Sciences of the United States of America, 105(19), 6829-6833. Abstract / Article

Metzler-Baddeley, C., Caeyenberghs, K., Foley, S., & Jones, D. K. (n.d.). Task complexity and location specific changes of cortical thickness in executive and salience networks after working memory training.NeuroImage.

McGrew, K. S. (2009). CHC theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research. Intelligence, 37(1), 1–10.

Melby-Lervag, M., & Hulme, C. (2013). Is working-memory training effective? A meta-analytic review. Developmental Psychology, 49, 270– 291. Abstract.

O’Reilly RC, Frank MJ. (2006). Making working memory work: A computational model of learning in the prefrontal cortex and basal ganglia. Neural Comput. 18(2):283–328. [PubMed]

Preusse, F., Elke, van der M., Deshpande, G., Krueger, F., & Wartenburger, I. (2011). Fluid Intelligence Allows Flexible Recruitment of the Parieto-Frontal Network in Analogical Reasoning. Frontiers in Human Neuroscience, 5.

Thompson, T. W., Waskom, M. L., & Gabrieli, J. D. E. (2016). Intensive Working Memory Training Produces Functional Changes in Large-scale Frontoparietal Networks.Journal of Cognitive Neuroscience, 1–14.

Schwaighofer, M., Fischer, F., Buhner, M. (2015) Does Working Memory Training Transfer? A Meta-Analysis Including Training Conditions as Moderators. Educational Psychologist 50, 2. Abstract, Article.

Stanovich, K. E., & West, R. F. (2008). On the Relative Independence of Thinking Biases and Cognitive Ability. Journal of Personality and Social Psychology, 94, 672–695.