I have a post in progress that has required an unexpcted amount of time and research. Hence, you will find very many references, which took considerable time to find, retrieve, and read.
The subject is a causal link between major depression and antisocial personality, the latter of which, previous to DSM IV, had been referred to as sociopathy or psychopathy. Essentially, the severely depressed should display antisocial behaviors.
I hope to complete this post soon. I will complete it within the next week, if time allows.
QuantiMind
Quantitative Psychological Theory and Musings
Thursday, July 8, 2010
Sunday, June 6, 2010
No More Audio/Visual Versions
I will no longer offer audio/visual versions of posts. It seems they aren't being used.
Get Past the Past
There is an old drug that has fairly recently been shown to prevent the emotional consequences of memory recall via reconsolidation.
The drug is Propranolol, a beta blocker that prevents adrenergic stimulation. Marketed as Inderal, this medication has long been prescribed to control high blood pressure and anxiety.
Among the fascinating implications, Propranolol administration during the recall of painful memories may speed the habituation(healing) of past traumas, and help abolish chemical addiction.
The drug is Propranolol, a beta blocker that prevents adrenergic stimulation. Marketed as Inderal, this medication has long been prescribed to control high blood pressure and anxiety.
Among the fascinating implications, Propranolol administration during the recall of painful memories may speed the habituation(healing) of past traumas, and help abolish chemical addiction.
Labels: anger, classes, psychology, evolution
addiction,
adrenergic,
beta blocker,
explicit memory,
exposure therapy,
inderal,
memory reconsolidation,
propranolol,
reconsolidation,
stress,
substance addiction,
trauma
Thursday, May 13, 2010
Another Apology
I apologize to readers for going nearly a month without a post. I've been unusually busy. I will try to post more often now.
Thank you for your patience.
Thank you for your patience.
Wednesday, May 12, 2010
Thoughts on Why Younger Men and Older Women Sometimes Mate
audio/visual version
It is cliche to note that men are often attracted to younger women, and women to older men. The typical evolutionary explanation(page 9) is that men generally prefer younger women, because the latter are more fertile on average. Women usually prefer older men, because the men can command more resources on average, including experience, among other factors.
In recent years however, the phenomenon of the mutual attraction of younger men and older women is gaining attention. Older women, roughly referring to women aged 35 or older, are popularly referred to as "cougars," while the men who share a mutual attraction are referred to as "cubs."
While a few recent demographic trends may provide some insight into the higher frequency of this relationship pattern, there are some purer evolutionary explanations as well.
When it comes to why older women may sometimes choose younger men, the former may find fewer mating opportunities with preferred older men(page 6, last 2 paragraphs), and hence settle for younger. But, why would younger men find older women attractive?
Perhaps the reason is the same as that above for women sometimes dating younger men. It could be due to a lack of younger mate availabity. However, there may be an additional dimension to the attractiveness of older women to men, at least when the women look younger than their age. Perhaps these women send signals of genetically-determined longer fertility lives, and hence represent an optimal mating strategy even in absence of a scarcity of younger or same-aged women.
Of course, that last point is mere speculation, as I haven't found any research support for it yet. If any of you find some, please let me know.
It is cliche to note that men are often attracted to younger women, and women to older men. The typical evolutionary explanation(page 9) is that men generally prefer younger women, because the latter are more fertile on average. Women usually prefer older men, because the men can command more resources on average, including experience, among other factors.
In recent years however, the phenomenon of the mutual attraction of younger men and older women is gaining attention. Older women, roughly referring to women aged 35 or older, are popularly referred to as "cougars," while the men who share a mutual attraction are referred to as "cubs."
While a few recent demographic trends may provide some insight into the higher frequency of this relationship pattern, there are some purer evolutionary explanations as well.
When it comes to why older women may sometimes choose younger men, the former may find fewer mating opportunities with preferred older men(page 6, last 2 paragraphs), and hence settle for younger. But, why would younger men find older women attractive?
Perhaps the reason is the same as that above for women sometimes dating younger men. It could be due to a lack of younger mate availabity. However, there may be an additional dimension to the attractiveness of older women to men, at least when the women look younger than their age. Perhaps these women send signals of genetically-determined longer fertility lives, and hence represent an optimal mating strategy even in absence of a scarcity of younger or same-aged women.
Of course, that last point is mere speculation, as I haven't found any research support for it yet. If any of you find some, please let me know.
Labels: anger, classes, psychology, evolution
adaptive fitness,
cougars,
cubs,
dating,
evolution,
evolutionary psychology psychology,
fertility,
genetics,
inclusive fitness,
marriage,
mate preference
Friday, April 16, 2010
Horrible Reporting
audio/visual version
Here is a nice, quick post I can offer. It's in reference to a report that appeared last month in Science Daily. The report tries to make novelty out of a conclusion that deliberate and unconscious memory retrieval are facilitated by different pathways in the brain. Well, how could it be otherwise?
The report goes on to claim that the processes involved in unconsciously retrieving memories and likewise forgetting them are mysteries. This is simply untrue, except for purely neurophysiological mechanisms, though many of these are known too. To quote here:
There are several memory systems in the brain, but the two major ones are the explicit and implicit. The former is responsible for conscious, deliberate recall and the latter for unconscious recall. The explicit allows attempts to connect with previously stored predictive contexts for sought (net rewarding)memories. This is facilitated by the elicitation of incomplete predictive contexts, triggered consciously and unconscously. There are no memories without contexts, so explicit memories require these partial predictive contexts and then use associational methods, including those involving metacognition, to try to connect with the more complete contexts. The explicit system is involved to the degree that a context is new, so there is incomplete generalization. Thus, this process only works some of the time.
The implicit system involves well-learned habits that require little awareness. Examples include motor learning, but can occur with any type of behavior strongly generalized across predictive contexts.
Even considering the normally awful media reporting of scientific work, this example stands out. And this is worse for a publication that solely reports on science.
Here is a nice, quick post I can offer. It's in reference to a report that appeared last month in Science Daily. The report tries to make novelty out of a conclusion that deliberate and unconscious memory retrieval are facilitated by different pathways in the brain. Well, how could it be otherwise?
The report goes on to claim that the processes involved in unconsciously retrieving memories and likewise forgetting them are mysteries. This is simply untrue, except for purely neurophysiological mechanisms, though many of these are known too. To quote here:
Science still does not fully understand why our brain sometimes automatically supplies us with a memory that we have done nothing to deliberately call to mind, whereas why, on other occasions, we cannot remember things even though we make efforts to recall them.
There are several memory systems in the brain, but the two major ones are the explicit and implicit. The former is responsible for conscious, deliberate recall and the latter for unconscious recall. The explicit allows attempts to connect with previously stored predictive contexts for sought (net rewarding)memories. This is facilitated by the elicitation of incomplete predictive contexts, triggered consciously and unconscously. There are no memories without contexts, so explicit memories require these partial predictive contexts and then use associational methods, including those involving metacognition, to try to connect with the more complete contexts. The explicit system is involved to the degree that a context is new, so there is incomplete generalization. Thus, this process only works some of the time.
The implicit system involves well-learned habits that require little awareness. Examples include motor learning, but can occur with any type of behavior strongly generalized across predictive contexts.
Even considering the normally awful media reporting of scientific work, this example stands out. And this is worse for a publication that solely reports on science.
Labels: anger, classes, psychology, evolution
association learning,
explicit memory,
generalizaiton,
implcit. explicit. implicit memory,
learning,
learning theory,
memory,
neural networks,
recall
Monday, April 12, 2010
Posts in Progress
I apologize for going nearly a week-and-a-half without a post, but I've been very busy and working on some posts that are taking longer than anticipated.
For example, I'm considering whether antisocial behavior(sociopathic) can result from extreme depression, and how to formalize such a relationship.
I am also considering cases in which general intelligence, defined as relatively high stimulus processing rates, can make for less intelligent decisions.
Another post in progress is one on the attractiveness of older women to younger men.
And, there is consideration of the reason bullying occurs among children.
So, please have patience as I try to put as much quality into my posts as possible.
Yes, maybe I'm spreading my attention too thin by simultaneously working on so many posts, but I've been shifting toward topics that I've incorrectly thought would take less time to complete.
For example, I'm considering whether antisocial behavior(sociopathic) can result from extreme depression, and how to formalize such a relationship.
I am also considering cases in which general intelligence, defined as relatively high stimulus processing rates, can make for less intelligent decisions.
Another post in progress is one on the attractiveness of older women to younger men.
And, there is consideration of the reason bullying occurs among children.
So, please have patience as I try to put as much quality into my posts as possible.
Yes, maybe I'm spreading my attention too thin by simultaneously working on so many posts, but I've been shifting toward topics that I've incorrectly thought would take less time to complete.
Friday, April 2, 2010
Artificial Emotions
audio/visual version
This article in New Scientist has me thinking about how to endow artificially intelligent machines with emotions. This shouldn't be a hard task.
Referring to a previous post on mood, as well as one on emotions, a computerized machine can be fitted with sensors to facilitate machine learning, with unconditioned and conditioned stimuli as incentives. Reward would be determined by the required rate intake of resources, and the net intake of resources deemed available. Resources can include energy, and even social approval. In the latter case, machines can detect facial features and be programmed to associate them with social signals, such as those revealed by facial expressions, for example. The sum of all available resources can be operationalized as mood.
The machine is then capable of attaching values to various stimuli and now emotions can be added. Anger, for example, can be programmed as an unexpected subjective loss. But could machines feel?
I think emotional feelings in human beings serve as signals to the working memory in the prefrontal cortex, allowing for metacognitive differentiation. That is, with regard to our thinking about our emotional reactions, it helps to be able to distinguish each emotional response from others. Hence, there is no reason to think such differentiation cannot be programmed into artificial intellgence systems.
This article in New Scientist has me thinking about how to endow artificially intelligent machines with emotions. This shouldn't be a hard task.
Referring to a previous post on mood, as well as one on emotions, a computerized machine can be fitted with sensors to facilitate machine learning, with unconditioned and conditioned stimuli as incentives. Reward would be determined by the required rate intake of resources, and the net intake of resources deemed available. Resources can include energy, and even social approval. In the latter case, machines can detect facial features and be programmed to associate them with social signals, such as those revealed by facial expressions, for example. The sum of all available resources can be operationalized as mood.
The machine is then capable of attaching values to various stimuli and now emotions can be added. Anger, for example, can be programmed as an unexpected subjective loss. But could machines feel?
I think emotional feelings in human beings serve as signals to the working memory in the prefrontal cortex, allowing for metacognitive differentiation. That is, with regard to our thinking about our emotional reactions, it helps to be able to distinguish each emotional response from others. Hence, there is no reason to think such differentiation cannot be programmed into artificial intellgence systems.
Labels: anger, classes, psychology, evolution
anger,
anxiety,
artificial intelligence,
emotions,
fear,
feature detection,
feelings,
joy,
laughter,
machine learning,
mood,
sadness
Sunday, March 28, 2010
Free Will Absolution?
audio/visual version
This book review has spurred me to offer a brief follow up to a previous post on free will.
I agree with the review author Holly Anderson, who dismisses the idea that "emergence," or the consideration that brain functioning as a whole is more than the sum of its parts, by pointing out that any process governed by the brain is deterministic. However, focus of this post is on the issue of whether this means people shouldn't be held responsible for their actions.
The answer, in my opinion, is that in a pure abstract moral sense they can't be, but we have to assign responsibility to those who engage in externally damaging behavior anyway, for practical reasons. We have to protect society.
By the way, it is interesting to me that the question of whether a lack free will cancels moral responsibility is only considered with respect to negative behavior, at least in my experience.
This book review has spurred me to offer a brief follow up to a previous post on free will.
I agree with the review author Holly Anderson, who dismisses the idea that "emergence," or the consideration that brain functioning as a whole is more than the sum of its parts, by pointing out that any process governed by the brain is deterministic. However, focus of this post is on the issue of whether this means people shouldn't be held responsible for their actions.
The answer, in my opinion, is that in a pure abstract moral sense they can't be, but we have to assign responsibility to those who engage in externally damaging behavior anyway, for practical reasons. We have to protect society.
By the way, it is interesting to me that the question of whether a lack free will cancels moral responsibility is only considered with respect to negative behavior, at least in my experience.
Labels: anger, classes, psychology, evolution
behaviorm,
determinism,
emergence,
free will,
My Brain Made Me Do It,
negative externalities,
neuroscience
Friday, March 26, 2010
Suicide is Adaptive(Evolutionarily)
audio/visual version
Update: This post is not meant to advocate suicide. It only speaks to evoluationary motives.
Suicide is often a natural behavior. This is because it may help to pass genes.
This seeming paradox is resolved when you consider the implications of inclusive fitness, or more specifically with regard to kinship selection. This refers to the fact that close relatives have a high number of genes in common, the hence the passing on of shared genes sometimes benefits from sacrifices at the expense of one or more relatives, even leading to death. Particularly, individuals with low access to resources needed to pass genes directly, relative to family members, become a drag on the resources of others in the family.
This idea was perhaps first put forth by Denys deCatanzaro, but the logic first appealed to me years before I found this paper and related research.
This is not to say that all cases of suicide are related to kinship selection, but does suggest the existence of a sort of "mental program" that is activated by low moods, relative to family members. Other causes for suicide include the metacognitive avoidance of psychical and or physical pain, the influence of psychoactive drugs, and more purely neurological causes.
Update: This post is not meant to advocate suicide. It only speaks to evoluationary motives.
Suicide is often a natural behavior. This is because it may help to pass genes.
This seeming paradox is resolved when you consider the implications of inclusive fitness, or more specifically with regard to kinship selection. This refers to the fact that close relatives have a high number of genes in common, the hence the passing on of shared genes sometimes benefits from sacrifices at the expense of one or more relatives, even leading to death. Particularly, individuals with low access to resources needed to pass genes directly, relative to family members, become a drag on the resources of others in the family.
This idea was perhaps first put forth by Denys deCatanzaro, but the logic first appealed to me years before I found this paper and related research.
This is not to say that all cases of suicide are related to kinship selection, but does suggest the existence of a sort of "mental program" that is activated by low moods, relative to family members. Other causes for suicide include the metacognitive avoidance of psychical and or physical pain, the influence of psychoactive drugs, and more purely neurological causes.
Labels: anger, classes, psychology, evolution
adaptive behavior,
adaptive suicide,
Denys deCatanzaro,
inclusive fitness,
kinship,
kinship selection,
suicide
Subscribe to:
Posts (Atom)