Neural Trapping
A Brief Remedial Technique for Students with Memory
and Attention-related Learning Disorders.
By Robert DePaolo
ABSTRACT
This article discusses a remedial method applicable primarily to
students with Attention Deficit, but also to students with learning
disabilities, autism and other disorders that feature attention and
memory deficiencies. It focuses on a fundamental neurological process
referred to here as neural trapping.
In describing this process it might help to discuss what happens in
the brain when a learner attempts to memorize a cluster of information.
When presented with a task or stimulus, the brain tends to be
globally activated (Toshikazu, Aichihisa et al 1995). Mass mobilization -
often referred to as the principle of mass action - enables
the brain to consider inputs from central sources and also from the
periphery. In effect, its default position is not to focus, but to scan
the environment broadly. This is a highly adaptive brain strategy that
prepares the individual for “what if” contingencies (Pulvermuller,
Birnbaumer et.al 1997).
That suggests concentration is not reflexive or “natural“, but must
be summoned (Hedlin (2002). In order for it to emerge requires a
recruitment process. That process consists of several steps.
The first step is for the brain to decide on the importance of a
particular stimulus to “justify” excluding all but the relevant
stimulus.
The second step involves and requires an emotional pre-decision, a
sense of urgency, registered within the brain, signifying that the
relevant stimulus could have a potential impact on the learner.
The third step involves praxis - or coordination. Once urgency and
relevance are registered, the brain must alternate and apportion
excitatory and inhibitory neuronal activity fluidly and with precise
timing so that irrelevant inputs can be blocked while relevant inputs
can pass through and in sync with one another to avoid neural spillover,
or spiking. That requires a degree of pre-knowledge as well as neural
timing.
The final step involves stamina, that is, a capacity to sustain focus for the entirety of the task.
In that context disorders along the “attention spectrum” could be
described in a way slightly different from the traditional ADHD
subcategories of Inattention, Hyperactivity and Impulsivity to augment
rather than replace those categories. The diagnostic revisions would
include:
Recruitment - mass action
Relevance/Recognition - narrowing of circuits based on a perception of task relevance
Urgency registration - an emotional determination of potential impact
Praxis… or neural timing - to coordinate the above narrowing/selection process and preclude spiking.
Stamina - which involves continued maintenance of the above functions for the duration of the task
Relevance/Recognition - narrowing of circuits based on a perception of task relevance
Urgency registration - an emotional determination of potential impact
Praxis… or neural timing - to coordinate the above narrowing/selection process and preclude spiking.
Stamina - which involves continued maintenance of the above functions for the duration of the task
The fact that the human brain appears to operate in a manner
consistent with the above model, has implications for diagnosis and
remediation.
On the other hand this neural process doesn’t necessarily coincide
with the milieu of the typical classroom, which tends to be passive
rather than urgent, and deliberate rather than rapid.
This is not a critique of either educators or of the education
system. It would be difficult to insert emotion and urgency into each
and every classroom (though not impossible). I’ve seen some very
creative (dare I say wonderfully theatrical) instructors do this
occasion. Yet it does present an awkward mis-match between brain
function and traditional teaching methods and raises the question of how
slight modifications in teaching practices can bridge that gap.
Mind and Memory
In constructing the bridge, we can begin by asking… what process enables learners to attend, and …what prevents learners from attending to and memorizing information?
The answer is fairly clear. Learning and memory are registered in the
brain when neural fibers extend outward and attach to other neurons. In
other words, learning is a result of neural growth and post-synaptic
innervations (Horridge, 1968). The facilitator of that growth and innervation is feedback, or reinforcement, signifying that a behavior
has been successful.
In that context, studies by Sluvidis, Koten et. Al (2008) have shown
that when a behavior is followed by feedback ( which could be negative -
indicating a lack of error, which is a good thing) or positive
(indicating the attainment of a specific goal, also a good thing) neural
fibers extenuate and connect to other networks In that way, short term
memories are established.
Long term memories develop when these fundamental connections
reverberate throughout the brain so that the memory trace is multiply
registered in various sites. This provides redundancy, which any good
information system must have (Dukas 1999).
As to the question of what prevents ADHD, autistic and learning
disabled students from learning efficaciously in the classroom, one
possible answer is something called “interference,” and it can pertain
to lapsed time between stimulus, response, feedback and memorization
As discussed earlier, the brain operates in part according to a mass
action principle and as a result harbors competing impulses. The fact
that the brain reacts globally, leads to systemic noise, which allows
interfering stimuli to intrude on the associative memory process. Noise
in the brain equates with arousal and irresolution - which in turn
create discomfort for the learner. It also creates interference patterns
arising from pre-existing memories and percepts that compete with the
initial perception. That too can block the forming of associative
connections.
There are two types of interference; external and internal. Both are
more likely to arise with longer intervals between cues, responses and
feedback and less likely to arise when the intervals are compressed.
Resolution and de-arousal typically result in a pleasurable feeling.
(Vitouch (2004), thus has implications for the urgency-emotion factor.
More specifically, narrowing down the global brain activation into
greater specificity reduces noise in the brain, which leads to a
positive affective state. That, in concert with the structure and
rapidity of the teacher’s presentation fulfills the urgency requirement
for soliciting attention and memory.
The unpleasant aspect of mass action is nonetheless necessary. One of
its benefits pertains to the fact that global activation allows for
greater potential response access, which increases options in decision
making. Another benefit is that mass action forces a higher level of
brain arousal, which provides the energy for recruitment, attention and
memory.
On the other hand, a noisy brain with a penchant for mass action
increases the potential for interference. As a studies by Barrouilet and
Camas (2009) and Winocur (1988) have shown, memories fade and/or are
prohibited when intruding thoughts, experiences and inputs interrupt the
trace input that would otherwise be the main focus. Thus whenever
classroom teachers try to impart facts to their students (especially
with time gaps between presentation and memorization) they must be aware
of this implicit and natural drift toward noise, confusion and
interference.
Since mental activity is ongoing, and other than in extraordinarily
isolated circumstances. perceptions impinge continually on the brain,
interference is a function of time. Therefore, the more time elapses
between the stimulus, the behavior and the feedback the more likely it
is that an interference pattern arising from an internal or external
intervening stimulus event will interrupt the process, and that
neural-growth extensions, reinforcement and memory will be blocked.
This can happen for a variety of reasons. For example a student with
an auditory processing problem might not interpret a teacher’s
instructions accurately, leading the student to seek out more
comprehensible, competing stimuli in the classroom. Or the student might
have an attention problem characterized primarily by an
“urgency-deficit,” so that absent a sense of personal impact, he might
seek out more intense stimuli in class - or create that intensity
through his own behavior. In addition, a student might be so self
conscious that “escapist” mental activities like rumination and day
dreaming can interfere with memory consolidation.
That‘s where the concept of neural trapping comes into play. It is a
method that can be used in either remedial or regular classroom
settings. It features a rapid sequence of cues, student responses and
positive feedback. Its rapid delivery creates a sense of urgency and
interference-proof resolution by providing immediacy and reducing the
timing…or praxis requirements in the brain. It can therefore maximize
the student’s attending and memorizing capabilities.
Implementation
With regard to teaching method style is obviously important. Firing
rapid cues at a student, and asking him to respond as quickly as
possible can be intimidating. Yet with the provision of immediate
positive feedback and a soft and encouraging tone, an interference-free
method can be implemented effectively. With respect to brain function,
such rapid presentations would tend to create a neural trap, and
override noise and interference, while establishing clear,
uncontaminated short term memories, which can then be disseminated in
the brain for long term consolidation. It is a method supported by the
research of Kogan, Frankland et. Al (2003) who demonstrated that shorter
intervals between stimuli, responses and feedback do enhance learning
and memory.
In terms of application, the method would remain essentially the same
for all students. albeit with some modifications, depending on the
nature and severity of the learning disorder. In each instance the
instructor’s and student’s sequence of cues, responses and reinforcers
would be separated by short intervals.
Since the greater the impairment in terms of attentive focus, memory
and integrative capacities, the greater the potential for interference,
the intervals for significantly impaired students might have to be
shorter. For instance, with severely impaired autistic students the
intervals might have to be narrowed considerably. That is because
autistic students often exhibit a “one track-mindedness” (also referred
to as a vertical learning style), and if they are not initially
locked on to the task, their integrative deficits will make recruitment
and shifting over to the correct task focus more difficult.
In such cases, not only is it important to shorten the intervals, but
also to swamp the brain with multi-sensory cues, so as to preclude
interference from other sensory inputs. This would feature a rapid
presentation of tactile, language and visual cues, followed by the
student’s response, followed in turn by tactile, language and visual
feedback.
Methodological Limitations
One potential drawback of this approach is that it might be difficult
to apply to conceptual tasks, which by definition, draw on multiple
memories to facilitate a convergent response. Yet it is not impossible.
For example a student can learn anagrams and cue phrases such as i after e except after c or in math…right column first, left column next. In
other words rote-rule learning can be created through the neural
trapping process, enabling the student to summon conceptual and
operational responses to enhance academic growth. In some ways this is
obvious. For example Piaget determined that teaching involves first
establishing schemes, then presenting inputs that by virtue of their
divergence from those schemes force thought, deliberation and
intellectual growth. (1978).
Another potential limitation on this method is that it might be more
useful in one-to-one or small group settings than in a larger classroom.
However, drilling exercises - still used by many teachers for spelling
and foreign language declension lessons - are an example of how this
principle can be applied in the classroom - with one important
difference.
The key to the method lies in the word behavior. There is no
evidence to suggest that neural growth and extension (thus
memorization) occur through mere drill recitation or by listening to
instruction. The student must respond in a way that leads to
reinforcement. Thus the drill method used in classrooms for spelling and
other subjects might be a less than optimal way to establish memories.
To reiterate, neural growth, thus learning and memory depend on a
behavior-feedback sequence. With regard to details, an illustration of
the neural tracking method is as follows.
(Teacher): “Let’s run through this quickly. Two times three is“….
(Student): “Six”
(Teacher): “Excellent”
(Teacher): Three time three is…”
(Student): ”Nine”
(Teacher): ”Fantastic”
(Teacher): “Four times three is…”
(Student): “Twelve”
(Teacher): “Superb”
The Learning Curve
The above illustration obviously applies to instances in which the
student knows but has not thoroughly committed to memory the facts or
rules inherent in the lesson. With regard to a student’s first exposure
to a lesson the dynamic would deviate a bit from that format but the key
elements of short time intervals, interference-prevention and neural
connectivity through a behavior-reinforcement sequence would still
prevail. For example, once students are informed generally about the
subject matter, use of the neural trapping method could occur
immediately - in fact that might be an ideal scenario.
Another important question has to do with the interval between the
teacher’s cues/questions etc. and the students’ responses. In the best
of circumstances, (eg. a low interference, optimal learning/memory
paradigm) the intervals would be short. Yet one could ask justifiably,
whether that might preclude the student from thinking his way to a
solution, and detract from the development of problem solving skills.
The answer to that question is twofold. First, this article does not
argue for neural trapping as a prime or exclusive teaching approach. It
is geared more toward specific students who, despite having adequate
cognitive abilities, or some predetermined capacity to learn a given
task, just can’t demonstrate consistently, their knowledge, recall and
competence with regard to that task.
The second answer is more to the point. With a longer interval
between teacher’s cue and students’ response, there is an increased
likelihood of interference. However perhaps more important is the
interval between the students’ response and the reinforcer. That is what
produces the neural growth and connectivity.
A reasonable way around the problem of longer cue-to- response
intervals would be for the teacher to provide intermittent of “filler”
cues to prevent interference and keep the relevant stimulus trace in
play for the student. Without filler-cues and intermittent comments, the
stimulus vacuum that would prevail between cue and response would open
the door to interference and possibly hinder memorization.
In some ways this runs contrary, not just to simple drill exercises,
which have been used by educators for decades, but also to more modern
teaching approaches, which emphasize deliberation, comparisons, and
concepts over rote memorization of facts and rules - arguably in some
instances before the student is mature enough to employ conceptual
thinking. Some research indicates that the concept method works with
select students, for example Okaya, Musa et al (2006). Other studies,
for instance, Hansen (1985) suggest it does not work for all.
The fact that conceptual learning as an early foundation in
elementary grades might be somewhat brain-unfriendly could explain why
students diagnosed with learning, memory and attention-related
disabilities not only don’t progress adequately, but also seem unable to
consolidate what they have learned from one day to the next. An example
of this is the so-called “multiple ceiling/multiple basal” phenomenon
that keeps educators from determining the actual skill levels of
learning disabled students and gauging their progress over time. It is
possible that a neural trapping approach could ameliorate that problem,
help solidify learning and improve the consistency in student
performance.
Email Id:-deepa.singh@soarlogic.com
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