scholarly journals Does counter-habitual behavior carry psychological costs?

2021 ◽  
Vol 92 ◽  
pp. 104077
Author(s):  
Sointu Leikas ◽  
Liisa Kuula ◽  
Anu-Katriina Pesonen
Keyword(s):  
Habitual Behavior

Female rats express habitual behavior earlier in operant training than males.

2019 ◽  
Vol 133 (1) ◽  
pp. 110-120 ◽  
Author(s):  
Hannah L. Schoenberg ◽  
Emily X. Sola ◽  
Ellen Seyller ◽  
Michael Kelberman ◽  
Donna J. Toufexis
Keyword(s):  
Female Rats ◽  
Habitual Behavior ◽  
Operant Training

Bionomic of Anopheles sp. in Merauke District, Papua

SCISCITATIO ◽  
2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Djoko Rahardjo ◽  
Vinsa Cantya Prakasita ◽  
Marlen Aviati Sarah Pepiana
Keyword(s):  
Qualitative Data ◽  
Feeding Habits ◽  
Feeding Activity ◽  
Feeding Habit ◽  
Blood Type ◽  
Insect Repellent ◽  
Mosquito Repellent ◽  
Mosquito Nets ◽  
Community Behavior ◽  
Habitual Behavior

Malaria is known as an endemic disease that often causes death in Indonesia, especially in Papua. The malaria cases control in Papua has not been carried on based on data studies, therefore bionomic of Anopheles sp is important to be studied. Bionomics data are consisted of breeding places, resting places and feeding habits are from direct observation. Interviews and questionnaires were conducted to gain information about respondent behavior. Descriptive and qualitative data were then analyzed. The breeding places of Anopheles sp. were mostly found in swampy areas. Based on the feeding habit, the feeding activity of Anopheles sp. inside the house has only one biting peak at 23.00-02.00 WIT, while outside the house, biting peaks occurred at 21.00-22.00 WIT and 00.00-01.00 WIT. Resting place data shown that Anopheles sp. mostly found in piles of clothes and shoe racks. Recorded factors that affect mosquitos bionomics are temperature, humidity, salinity, pH, community behavior, and the presence of livestock. Environmental factors (temperature, humidity, salinity, and pH), habitual behavior of host (3M action, the habit of using insect repellent, mosquito repellent, and mosquito nets), the presence of livestock, and the type of bait blood type affect mosquito activity.

scholarly journals A global framework for a systemic view of brain modeling

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Frederic Alexandre
Keyword(s):  
Instrumental Conditioning ◽  
The Body ◽  
Posterior Cortex ◽  
Reciprocal Relationships ◽  
Brain Modeling ◽  
Brain Theory ◽  
Habitual Behavior ◽  
Definition Of ◽  
The Brain ◽  
Specific Contribution

AbstractThe brain is a complex system, due to the heterogeneity of its structure, the diversity of the functions in which it participates and to its reciprocal relationships with the body and the environment. A systemic description of the brain is presented here, as a contribution to developing a brain theory and as a general framework where specific models in computational neuroscience can be integrated and associated with global information flows and cognitive functions. In an enactive view, this framework integrates the fundamental organization of the brain in sensorimotor loops with the internal and the external worlds, answering four fundamental questions (what, why, where and how). Our survival-oriented definition of behavior gives a prominent role to pavlovian and instrumental conditioning, augmented during phylogeny by the specific contribution of other kinds of learning, related to semantic memory in the posterior cortex, episodic memory in the hippocampus and working memory in the frontal cortex. This framework highlights that responses can be prepared in different ways, from pavlovian reflexes and habitual behavior to deliberations for goal-directed planning and reasoning, and explains that these different kinds of responses coexist, collaborate and compete for the control of behavior. It also lays emphasis on the fact that cognition can be described as a dynamical system of interacting memories, some acting to provide information to others, to replace them when they are not efficient enough, or to help for their improvement. Describing the brain as an architecture of learning systems has also strong implications in Machine Learning. Our biologically informed view of pavlovian and instrumental conditioning can be very precious to revisit classical Reinforcement Learning and provide a basis to ensure really autonomous learning.

Discussion: TEACHING, ACTING, AND BEHAVING

1965 ◽  
Vol 35 (2) ◽  
pp. 191-209
Keyword(s):  
Habitual Behavior

In "Teaching, Acting, and Behaving" (HER, Fall, 1964)Thomas F. Green distinguished between "norm-regarding'behavior and "habitual" behavior. Three philosophers join Green in a discussion of the article.

scholarly journals A Dual Operator View of Habitual Behavior Reflecting Cortical and Striatal Dynamics

Neuron ◽  
2013 ◽  
Vol 79 (2) ◽  
pp. 361-374 ◽  
Author(s):  
Kyle S. Smith ◽  
Ann M. Graybiel
Keyword(s):  
Dual Operator ◽  
Habitual Behavior

scholarly journals Measuring habit formation through goal-directed response switching

2019 ◽  
Author(s):  
David Luque ◽  
Sara Molinero ◽  
Poppy Watson ◽  
Francisco J. López ◽  
Mike Le Pelley
Keyword(s):  
Learning Theory ◽  
Switch Cost ◽  
Time Pressure ◽  
Reward Learning ◽  
Stimulus Response ◽  
Response Switching ◽  
Directed System ◽  
Habitual Behavior ◽  
Reliable Marker ◽  
Translational Models

Reward-learning theory views habits as stimulus–response links formed through extended reward training. Accordingly, animal research has shown that actions that are initially goal-directed can become habitual after operant overtraining. However, a similar demonstration is absent in human research, which poses a serious problem for translational models of behavior. We propose that response-time (RT) switch cost after operant training can be used as a new, reliable marker for the operation of the habit system in humans. Using a new method, we show that RT switch cost demonstrates the properties that would be expected of a habitual behavior: (1) it increases with overtraining; (2) it increases when rewards are larger, and (3) it increases when time pressure is added to the task, thereby hindering the competing goal-directed system. These results offer a promising new pathway for studying the operation of the habit system in humans.

scholarly journals Characterizing cerebral metabolite profiles in anorexia and bulimia nervosa and their associations with habitual behavior

2021 ◽  
Author(s):  
Margaret L. Westwater ◽  
Alexander G. Murley ◽  
Kelly M.J. Diederen ◽  
T. Adrian Carpenter ◽  
Hisham Ziauddeen ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Bulimia Nervosa ◽  
Binge Eating ◽  
Instrumental Learning ◽  
Learning Task ◽  
Resonance Spectroscopy ◽  
Binge Eating Disorders ◽  
Habitual Behavior ◽  
Neurochemical Changes ◽  
The Right

AbstractBackgroundAnorexia nervosa (AN) and bulimia nervosa (BN) are associated with altered brain structure and function, as well as increased habitual behavior. This neurobehavioral profile may implicate neurochemical changes in the pathogenesis of these illnesses. Altered glutamate, myo-inositol and N-acetyl aspartate (NAA) concentrations are reported in restrictive AN, yet whether these extend to binge-eating disorders, or relate to habitual traits in affected individuals, remains unknown.MethodsUsing single-voxel proton magnetic resonance spectroscopy, we measured glutamate, myo-inositol and NAA in 85 women [n=22 AN (binge-eating/purging subtype; AN-BP), n=33 BN, n=30 controls]. Spectra were acquired from the right inferior lateral prefrontal cortex and the right occipital cortex. To index habitual behavior, participants performed an instrumental learning task and completed the Creature of Habit Scale. Exploratory analyses examined associations between metabolites and habitual behavior.ResultsWomen with AN-BP, but not BN, had reduced myo-inositol and NAA concentrations relative to controls in both voxels. Patient groups had intact performance on the instrumental learning task; however, both groups reported increased routine behaviors compared to controls. Women with BN also reported greater automatic behaviors, and automaticity was related to reduced prefrontal glutamate and NAA in the AN-BP group.DiscussionFindings extend previous reports of reduced myo-inositol and NAA levels in AN to AN-BP, which may reflect disrupted axonal-glial signaling. Although we found inconsistent support for increased habitual behavior in AN-BP and BN, we identified preliminary associations between prefrontal metabolites and automaticity in AN-BP. These results provide further evidence of unique neurobiological profiles across binge-eating disorders.

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