How the hippocampus distinguishes true and false memories

In a paper published in Proceedings of the National Academy of Sciences, University of Pennsylvania neuroscientists show for the first time that electrical signals in the human hippocampus differ immediately before recollection of true and false memories. They also found that low-frequency activity in the hippocampus decreases as a function of contextual similarity between a falsely recalled word and the target word.

“Whereas prior studies established the role of the hippocampus in event memory, we did not know that electrical signals generated in this region would distinguish the imminent recall of true from false memories,” says psychology professor Michael Jacob Kahana, director of the Computational Memory Lab and the study’s senior author. He says this shows that the hippocampus stores information about an item with the context in which it was presented.

…“Individuals suffering from stress-related psychopathology, such as post-traumatic stress disorder, often experience memory intrusions of their traumatic experiences under contexts that are safe and dissimilar to the traumatic incident. Targeted interventions that disrupt retrieval of intrusive memories could spawn novel therapies for such clinical conditions,” the researchers write.

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Besides being interesting in itself, this finding also confirms the value of FIML practice. Ongoing FIML practice is designed to act as ‘Targeted interventions that disrupt retrieval of intrusive memories.’ FIML finds and corrects intrusive memories as well as mistaken interpretations and associations. Since FIML is meant to be used often, over time it clears the mind of most, if not all, habitual mistakes in listening, seeing and thinking while also removing new mistakes as they are just forming. There is abundant science showing that interrupting or disrupting erroneous or neurotic responses has great curative efficacy. And also it optimizes our use of mental and psychological energy. Here is just one example: Disruption of neurotic response in FIML practice. ABN

Reduction of neurosis through immediate feedback

A recent study has found that persecutory delusions can be reduced by simulating fear-inducing situations in virtual reality.

patients who fully tested out their fears in virtual reality by lowering their defences showed very substantial reductions in their paranoid delusions. After the virtual reality therapy session, over 50% of these patients no longer had severe paranoia at the end of the testing day. (Oxford study finds virtual reality can help treat severe paranoia)

The crux of what happened is patients faced and “fully tested out their fears.”

The virtual reality environment allowed them to “lower their defenses” enough to see that their initial fears were wrong. That they were mistakes.

Few people suffer full-blown persecutory delusions on the scale of the patients in this experiment, but I would maintain that all people everywhere suffer from “mistaken interpretations” that manifest as neuroses or delusions.

The virtual reality in the Oxford study allows for patients to face their “mistakes” (their exaggerated fears) and this is what reduces their paranoia.

The technique works because patients receive immediate feedback in real-time.

As they perceive in real-time that their delusions are not justified, they are reduced dramatically.

In FIML practice, a similar result is achieved through the FIML query and response with a caring partner.

All people are riddled with “mistaken interpretations” that wrongly define their sense of who they are and what is going on around them.

A basic tenet of FIML is that immediate truthful feedback reduces and eventually extirpates these mistakes.

FIML allows people to “lower their defenses” by focusing on micro-units of communication as they arise in real-time.

The study is here: Virtual reality in the treatment of persecutory delusions: randomised controlled experimental study testing how to reduce delusional conviction.

I believe the findings of this study lend support to the theory of FIML practice:

FIML practice eliminates neuroses because it shows individuals, through real data, that their (neurotic) interpretation(s) of their partner are mistaken.

UPDATE: The mistaken interpretations extirpated from individuals psychologies during FIML practice could be compared to mutations in individual human genomes. All individual humans carry several hundred unique mutations which occurred during gestation or that came from their parents gametes. These mutations are costly as they reduce our mental and physical efficiency, sometimes very considerably. If we could remove or correct them, we would all function better. Psychologically, as we develop and learn language and behavior we all incorporate many hundreds of errors unique to ourselves. FIML practice is designed to find these errors in thought, language, communication, and psychology and remove them. In many ways, these psycho-communicative errors are even more serious than genetic mutations. ABN

Humans as networks

The human brain can process images very quickly: MIT reserachers

CAMBRIDGE (CBS) — The human brain is capable of processing images viewed through the eyes for as little as 13 milliseconds, according to research conducted by Massachusetts Institute of Technology neuroscientists.

That processing speed figure is significantly faster than the 100 milliseconds reported in earlier research, the MIT News Office reported.

The new MIT study appears in the journal Attention, Perception, and Psychophysics. In the research, investigators asked subjects to look for a particular type of image, such as “smiling couple,” as they viewed a series of as many as 12 images, each presented for between 13 and 80 milliseconds

“The fact that you can do that at these high speeds indicates to us that what vision does is find concepts. That’s what the brain is doing all day long — trying to understand what we’re looking at,” Mary Potter, an MIT professor of brain and cognitive sciences and senior author of the study, told MIT News.

Rapid-fire processing of images could serve to help direct the eyes to their next target, Potter said. “The job of the eyes is not only to get the information into the brain, but to allow the brain to think about it rapidly enough to know what you should look at next. So in general, we’re calibrating our eyes so they move around just as often as possible consistent with understanding what we’re seeing,” she said.

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The paper is here: Detecting meaning in RSVP at 13 ms per picture.

FIML works with information rapidly entering the working memory, much of which is visual. Psycholinguistic auditory information can also be received and processed very quickly. Consider tone of voice. FIML helps partners intervene in the processing of immediate interpersonal information in order to understand its deep psychological roots. The FIML technique is fairly easy to do if it is understood that the critical focus is on information that just occurred. ABN

Breathing affects memory formation — study

Our breathing patterns, and their resulting impacts on the brain, can strengthen or weaken our memory-forming powers, new research reveals – and the findings could potentially help in the treatment of brain disorders and mental health problems.

The body’s natural and spontaneous breathing behavior is known as medullary respiratory activity, after the medulla oblongata – the breathing control center of the brain. Of particular importance are a small cluster of neurons in what is known as the Pre-Bötzinger Complex (PreBötC), which sit inside the medulla oblongata.

“Breathing is a fundamental action in life support in mammals,” says neuroscientist Nozomu Nakamura, from Hyogo Medical University in Japan. “Although details of respiratory function on brain states remain unclear, recent studies suggest that respiration may play an important role during online brain states.”

In this new study, scientists interfered with the PreBötC in genetically modified mice. They found that when they temporarily stopped the mice from breathing, the animals were less able to form important memories during object recognition and fear conditioning tests.

source with link to study

Detail and complexity

If we look, we can find detail and complexity essentially everywhere.

The following video shows in detail a Giant Texas Katydid adult male breathing, grooming, and just hanging out. It is fascinating to watch.

If only we humans were as careful about what we say and how we listen.

The most important area that humans do not pay enough detailed attention to is interpersonal communication. We have the ability to observe, analyze, and comprehend our communications with much greater detail than most of us ever do.

FIML provides techniques for being as careful about communication as the katydid is about his body. The katydid is complex. So is what you say, hear, and observe. All of the details matter.

FIML practice helps you understand these details and their ramifications in real-time. If you don’t catch important details in real-time, chances are you won’t catch them at all. Sometimes a single missed detail can lead to a cascade of misunderstanding that never gets fixed because the detail has been forgotten.

If the katydid fails to groom properly, he will become sick and die. When we fail to maintain detailed and complex understanding of communicative acts with people we care about, similar outcomes are more likely than not.

Brainwaves Encode the Grammar of Human Language

Every day you hear at least some utterances you’ve never heard before. That you can understand them is partly due to the fact that they are structured according to grammatical rules. Scientists have found that the human brain may use the relative timing of brainwaves to encode and decode the structures in a sentence.

Grammar is a way of structuring information that makes language an efficient way to communicate. Knowing the grammatical rules of our language allows us to say pretty much anything we want, including things we have never heard before by combining words to (new) sentences. Being able to learn and use grammar is unique to humans. But it also creates a challenge for the science of how the brain processes human language—how do our brains, essentially a bunch of cells in a network, represent something as abstract as grammatical rules?

Scientists at the University of Edinburgh and the Max Planck Institute for Psycholinguistics study this question with the help of computer-based models. They constructed an artificial neural network that simulates key features of the brain, such as densely connected populations of neurons that show neural oscillations. Neural oscillations are wave-like patterns of activity that happen at different frequencies, some very fast and some slow. The relative timing of these neural oscillations can help the brain encode grammatical relationships between words in a sentence, as Andrea Martin and Leonidas Doumas report in a paper in PLOS Biology.

By encoding words in one oscillation, and phrases in another, the brain can keep track of words and phrases at the same time. This demonstrates how something as complex as a sentence can be encoded in the neural currency of oscillations. A key finding of the new study is that these artificial neural networks, when fed example sentences, give off patterns of energy that mimic what the brain does when it processes a sentence. Martin, lead author of the study, says: “This work helps us understand how the brain solves a complex puzzle and why it gives off the activity patterns that it does when processing language.”

In this exciting age of the brain, where we know more about our brains than ever before, being able to link basic experiences like speaking and understanding language directly to brain function is especially important. Linking our brains to our behaviors holds the key to understanding not only what it means to be human, but also to understanding how the (arguably) most complex computing device in the universe, the human brain, gives rise to our daily experiences. Such knowledge may also lead to biologically inspired advances in human-like artificial intelligence and computation.

This article was originally published by Max Planck Neuroscience on March 6, 2017. The relevant study can be retrieved here.

Read more at Max Planck Neuro.

I am posting the entire article because it’s a good summary and I do not want it to be lost. It has been taken down from Max Planck Neuroscience. The study: A mechanism for the cortical computation of hierarchical linguistic structure. This makes good sense and seems to describe something that is really happening in the brain. Being in the zone while performing complex tasks in sports or other endeavors also seems to entail brainwave patterns like these. ABN

How to think about the mind?

It is not linear, though a spoken sentence has conspicuous linear features and can often be profitably analyzed linearly.

It is a network where many parts connect robustly with other parts and where some parts connect only weakly. Unconnected parts can arise but usually they are rapidly incorporated into the network, even if only weakly, even if only to be rejected from it.

The mind in many ways resembles the system of language. Add semiotic codes and the resemblance grows stronger. Add random and not-so-random associations between semiotic and linguistic elements and the resemblance seems even better.

Emotions, except in their most primal form, have to be defined by language, semiotics, or associations to have impact or “meaning.”

Charles Peirce doubted the value of linear logical notation, preferring notation employing two or three dimensions. His existential graphs became the basis of model theory. (Interestingly, his work in this area was ignored until 1964, long after his death.)

While the human mind may be more than just a network, much about it can be explained by thinking of it as an associative network. While many mental associations are not logical, or even rational, in a formal sense, virtually all of them make subjective sense to the mind experiencing them. My associations with snow will be different from yours, but if we cared to we could compare them and come to a better understanding of each other.

A key to grasping how our minds work is to approach the very rich subjective network of mental associations—both logical and not—through the linearity of language, especially short bursts of language spoken in real-world situations.

Grasping our minds in this way probably cannot be done in a laboratory and outcomes will rarely, if ever, repeat themselves even outside of the lab.

Most science is based on repeatability and controls, such as a laboratory setting. Yet, clearly, not all investigations—even very rational, logical ones—can be pursued in those ways.

FIML practice uses the linear “logic” of short bits of real-world conversation to access the large associative network of the mind as it is actually functioning in a real-world situation.

In this sense, FIML practice does something that cannot be done in any other way. No theory can embrace everything you say and no theory can capture the complex interplay of feeling, speech, meaning, biology, and circumstances that actually comprise the most significant moments of our lives.

FIML, thus, is a sort of science of the moment, a shared science that allows two people to analyze their minds as they actually are functioning in the real world.

first posted FEBRUARY 20, 2014

Taking five minute ‘brain breaks’ can increase productivity in tasks by more than 50 per cent, study finds

Taking a five minute ‘brain break’ can increase performance and productivity in subsequent tasks by over 50 per cent, a study has found.

In the University of Sydney experiment, 72 students undertook a self-taught lesson and two gruelling mental maths tests.

Those who were allowed a five minute break between the tasks averaged 57 per cent higher marks – when other ability factors were taken into account – in the second test than those who powered through without stopping.

Some of the ‘rested’ students took unstructured breaks while others were asked to watch a relaxing nature video, but both groups performed better in the second challenge than their unrested peers.

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How working memory works and doesn’t work

A new study on working memory has some intriguing insights into how working memory works and how it doesn’t work.

It’s widely known that when working memory is overtaxed, confusion results, skills decline, while feelings of frustration and anger may arise. The reason for this seems to be:

Feedback (top-down) coupling broke down when the number of objects exceeded cognitive capacity. Thus, impaired behavioral performance coincided with a break-down of Prediction signals. This provides new insights into the neuronal underpinnings of cognitive capacity and how coupling in a distributed working memory network is affected by memory load. (Working Memory Load Modulates Neuronal Coupling)

A well-written article about this study contains the following diagram and explanation:

This article—Overtaxed Working Memory Knocks the Brain Out of Sync—also contains the following passages and quote from one of the study’s authors:

Miller thinks the brain is juggling the items being held in working memory one at a time, in alternation. “That means all the information has to fit into one brain wave,” he said. “When you exceed the capacity of that one brain wave, you’ve reached the limit on working memory.”

The prefrontal cortex seems to help construct an internal model of the world, sending so-called “top-down,” or feedback, signals that convey this model to lower-level brain areas. Meanwhile, the superficial frontal eye fields and lateral intraparietal area send raw sensory input to the deeper areas in the prefrontal cortex, in the form of bottom-up or feedforward signals. Differences between the top-down model and the bottom-up sensory information allow the brain to figure out what it’s experiencing, and to tweak its internal models accordingly. (Emphasis added)

Working memory works via connections between three brain regions that together form a coherent brain wave.

Notice that “an internal model of the world,” which is a “top-down signal” within the brain wave feedback loop, predicts or interprets “bottom-up” sensory input as it arrives in the brain.

I believe this “top-down signal” within working memory is the reason FIML practice has such enormous psychological value.

By analyzing minute emotional reactions in real-time during normal conversation, FIML practice disrupts the consolidation, or more often the reconsolidation, of “neurotic” responses. (Disruption of neurotic response in FIML practice)

FIML optimizes human psychology by helping partners intervene directly into their working memories to access real-world top-down signals as they are happening in real-time. Doing this repeatedly reliably alters the brain’s repository of top-down interpretations, making them much more accurate and up-to-date.

The model of working memory proposed in this study also explains why FIML can be a bit difficult to do. Partners must learn to allow a FIML meta-perspective or “super top-down” signal to quickly commandeer their working memories so that analysis of whatever just happened can proceed rationally and objectively. It does take some time to learn this skill, but it is no harder than many other “automated” skills such bicycling, typing, or playing a musical instrument.

first posted JUNE 7, 2018

Artificial Intelligence Learned to Read Your Mind 🤯

Do FIML now if you want to be well-prepared for mind-reading AI! Since I started writing about FIML over ten years ago, I have wanted to see AI technology develop in the direction of giving people deep access to the real-world, real-time workings of their minds. FIML practice can do this already but AI will make it easier and far more evident why we need to do this sort of practice, why we need to have a very strong grasp of how our minds actually function and communicate. A wonderful possible result from AI combined with FIML is a major upgrade in human communication at all levels everywhere.

Pause for a moment and consider how stupid the main ideas employed in mass mind-control are. Then consider that these stupid ideas, devoid of nuance and subtlety, work simply because the majority of people allow them to work. And people do that because they do not understand how their own minds work or how to communicate deep truths honestly. It is possible AI will help humanity raise its game far above the ignorant cognitive hierarchies we suffer with today. It is also possible AI will produce a dystopia, but I am hopeful because if elites can be made more intelligent and more aware, they may become more ethical. ABN

DMTx: The First Results… Tolerable, safe, and highly effective…

So, just last week, the Imperial College Centre for Psychedelic Research finally published a pre-print of the world’s first pilot study of extended-state DMT, which has come to be known as DMTx. This comes almost seven years after Rick Strassman and myself proposed a retooling of target-controlled intravenous infusion — the technology used to maintain a stable brain concentration of anaesthetic drugs during surgery — for extending the DMT state from a few minutes to potentially much much longer…

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Latent Diversity in Human Concepts

Many social and legal conflicts hinge on semantic disagreements. Understanding the origins and implications of these disagreements necessitates novel methods for identifying and quantifying variation in semantic cognition between individuals. We collected conceptual similarity ratings and feature judgements from a variety of words in two domains. We analyzed this data using a non-parametric clustering scheme, as well as an ecological statistical estimator, in order to infer the number of different variants of common concepts that exist in the population. Our results show at least ten to thirty quantifiably different variants of word meanings exist for even common nouns. Further, people are unaware of this variation, and exhibit a strong bias to erroneously believe that other people share their semantics. This highlights conceptual factors that likely interfere with productive political and social discourse.

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This study shows a very basic reason to do FIML. The study emphasizes semantic variation at the level of social discourse and common words. FIML operates at the interpersonal, idiosyncratic level where our sense of being lurks like a chained animal in the midst of an enormous plethora of semantic variation and semiotic ambiguity. Simply stated, there is no way to negotiate the intimate interpersonal realm well without doing FIML. In this realm, the kinds of misunderstandings identified in the linked study are multiplied in literally every imaginable way. At the same time, the dangerous importance of communication errors is greatly amplified and psychologically cumulative. This is a main reason interpersonal relationships can become volatile and end in suffering. If you can see what the study is about and understand the importance of the ‘semantic disagreements’ it describes, you should be able to see the importance of doing FIML in real-time with an understanding partner. From birth to death, our entire psychologies rest on the dynamic foundation of our intimate, interpersonal communications. If you want to optimize your psychology, you must clear up communication at this level. ABN

Global Workspace Theory: mistake awareness (and correction)

Global workspace theory is a description of how our minds work. The word global refers to the whole mind or brain, not the world.

The central feature of this theory—the global workspace—is conscious working memory, or working memory that could be made conscious with minimal effort.

This global workspace is also what a great deal of Buddhist mindfulness attends to. If we focus our attention on what is coming in and out of our global workspace, we will gain many insights into how our minds operate.

The Buddha’s five skandha explanation of consciousness can be understood as a form (or percepta) entering the global workspace.

Consciousness is the fifth skandha in the chain of skandhas. It is very important to recognize that whatever we become conscious of is not necessarily right.

With this in mind, we can see that being mindful of what is entering and leaving our global workspace can help us forestall errors from forming and growing in our minds.

In the Buddhist tradition, ignorance (a kind of error) is the deep source of all delusion.

But how do I know if the percepta or bits of information entering my awareness are right or wrong?

Well, there is science and Bayesian thought processes to help us, and they are both very good, but is there anything else?

What about my actual mind? My psychology? My understanding of my being in the world? How do I become mindful and more right about these?

Besides science and Bayes, I can ask an honest friend who knows me well if the percepta I think I just received from them is right or wrong.

If my friend knows the game, they will be ready to answer me before my global workspace changes too much. If my friend confirms my interpretation of what they just did or said, I will know that my interpretation (or consciousness) is correct.

If they disconfirm, I will know that my interpretation was incorrect, a mistake.

This kind of information is wonderful!

We calibrate fine instruments to be sure we are getting accurate readings from them. Why not our own minds?

This kind of calibration can be done in a general way, but you will get a general answer in that case. If you want a precise reading, a mindfulness answer, you need to play the FIML communication game.

first posted

Fetishized semiotics part two

In a previous post, we discussed how semiotics can become fetishized and why that matters. In today’s post, I want to continue that discussion.

A fetishized semiotic(s) provides symbolic focus to the person who entertains it. It provides coherence within their semiotic networks of thought and communication.

Fetishized semiotics also generate or provide motivation for those who entertain them.

Since semiotics are fundamental to all communication, fetishized semiotics often serve to bond people into easily understood groups.

A person with a fetish for prostitutes, for example, will generally find it easy to get what they want while also bonding with others who have similar desires.

The same can be said for people who want a lot of money or status. Ethnic groups and religions often fetishize the semiotics of their cultures and histories.

A scientist might fetishize the semiotics of being a scientist.

A human ego, in most senses of the word and certainly in the Buddhist sense, can be described as the “fetishized semiotic(s) of ‘self’.” Or more precisely, as the “fetishized agglomeration of the semiotics of ‘self’ of an entity that lives in this world primarily within semiotic networks.”

When small “selves” (small in the Buddhist sense) become fetishized egos, or big selves, the entity in question will often feel that life has a focus or energy it did not have before. This is especially true if the person is part of a group that communicates about that ego and supports it through ceremonies, shared beliefs, values, etc.

Big selves, or egos, supported by groups are usually semiotically quite simple. This is a place where we can see the value of thinking in terms of semiotics.

The big self is simple—it wants one or two things and will marshal all of its (often considerable) mental powers to attain it. Other behaviors surrounding the core of the big self may be complex, but the basic big self is usually pretty simple. It wants respect, or power, or some ideal that often is a pretense for getting respect and power.

The formula can be different, but basically that is how it is.

Early communists in Russia and China, for example, all professed high ideals, and some of them meant it, but in both countries the revolutions were seized by the most ruthless actors and the high ideals were replaced with mass murder.

I am convinced that many of those most ruthless communists—who definitely had fetishized what they were doing—actually believed that their high ideals might one day come to be. But that first it was necessary to liquidate millions of “bad elements” and terrorize the remaining population into complete submission.

This all too human mix of idealism deferred to the future blended with extreme cruelty in the present illustrates another aspect of the fetishized self, or fetishized semiotics—the big self diminishes others, even becomes blind to them.

The fetishized ego sees itself with its own peculiar clarity and also it completely fails to see others except as aspects of its own fetish. Thus Bolsheviks and Red Guards murdered and terrorized tens of millions of people, often with very little feeling and always with massive self-delusion.

first posted APRIL 2, 2014