behavioral choice
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2021 ◽  
Author(s):  
Rebecca J. Rabinovich ◽  
Daniel D. Kato ◽  
Randy M Bruno

Primary sensory cortex has long been believed to play a straightforward role in the initial processing of sensory information. Yet, the superficial layers of cortex overall are sparsely active, even during sensory stimulation; moreover, cortical activity is influenced by other modalities, task context, reward, and behavioral state. Our study demonstrates that reinforcement learning dramatically alters representations among longitudinally imaged neurons in superficial layers of mouse primary somatosensory cortex. Learning an object detection task recruits previously unresponsive neurons, enlarging the neuronal population sensitive to touch and behavioral choice. In contrast, cortical responses decrease upon repeated exposure to unrewarded stimuli. Moreover, training improved population encoding of the passage of time, and unexpected deviations in trial timing elicited even stronger responses than touch did. In conclusion, the superficial layers of sensory cortex exhibit a high degree of learning-dependent plasticity and are strongly modulated by non-sensory but behaviorally-relevant features, such as timing and surprise.


2021 ◽  
Vol 11 (1) ◽  
pp. 63-69
Author(s):  
Marina Sergeevna Myshkina ◽  
◽  
Vera Vladimirovna Kolpakova ◽  
Keyword(s):  

2021 ◽  
Author(s):  
Nikolas Francis ◽  
Shoutik Mukherjee ◽  
Loren Kocillari ◽  
Stefano Panzeri ◽  
Behtash Babadi ◽  
...  

During auditory task performance, cortical processing of task-relevant information enables mammals to recognize sensory input and flexibly select behavioral responses. In mouse auditory cortex, small neuronal networks encode behavioral choice during a pure-tone detection task, but it is poorly understood how neuronal networks encode behavioral choice during a pure-tone discrimination task where tones have to be categorized into targets and non-targets. While the interactions between networked neurons are thought to encode behavioral choice, it remains unclear how patterns of neuronal network activity indicate the transmission of task-relevant information within the network. To this end, we trained mice to behaviorally discriminate target vs. non-target pure-tones while we used in vivo 2-photon imaging to record neuronal population activity in primary auditory cortex layer 2/3. We found that during task performance, a specialized subset of neurons transiently encoded intersection information, i.e., sensory information that was used to inform behavioral choice. Granger causality analysis showed that these neurons formed functional networks in which task-relevant information was transmitted sequentially between neurons. Differences in network structure between target and non-target sounds encoded behavioral choice. Correct behavioral choices were associated with shorter timescale communication between neurons. In summary, we find that specialized neuronal populations in auditory cortex form functional networks during auditory task performance whose structures depend on both sensory input and behavioral choice.


2021 ◽  
Author(s):  
Stefan Appelhoff ◽  
Ralph Hertwig ◽  
Bernhard Spitzer

When acquiring information about choice alternatives, decision makers may have varying levels of control over which and how much information they sample before making a choice. How does control over sampling affect the quality of experience-based decisions? Here, combining variants of a numerical sampling task with neural recordings, we show that control over when to stop sampling can enhance (i) behavioral choice accuracy, (ii) the build-up of parietal decision signals, and (iii) the encoding of numerical sample information in multivariate electroencephalogram (EEG) patterns. None of these effects were observed when participants could only control which alternatives to sample, but not when to stop sampling. Furthermore, levels of control had no effect on early sensory signals or on the extent to which sample information leaked from memory. The results indicate that freedom to stop sampling can amplify decisional evidence processing from the outset of information acquisition and lead to more accurate choices.


2021 ◽  
Author(s):  
Manon E. Jaquerod ◽  
Alessandra Lintas ◽  
Gabriel Gratton ◽  
Monica Fabiani ◽  
Kathy A. Low ◽  
...  

Most people tend to prefer smaller certain gains to large uncertain gains when making financial choices (risk aversion). However, attitudes toward risk vary greatly between individuals, and over time within individuals. Consistent behavior may reflect the adoption by the individual of a simple or automatized heuristic which reduces the subject's uncertainty about the outcome of a behavioral choice. In contrast inconsistent behavior may reflect the adoption of a "fuzzy" logic, likely leaving high levels of uncertainty in the participant making the choice. Therefore, inconsistent behavior may often be associated with greater risk aversion. The use of simple/automatized heuristics may also lead to increased reliance on fast brain processes, whereas fuzzy heuristic may lead to lingering uncertainty. These two modes of processing may therefore lead to different brain dynamics. To examine these dynamics we recorded event-related brain potentials (ERPs) from 22 adults participants engaged in a task requiring choices between certain (but often smaller) gains and an uncertain (but often bigger) gains. Behavioral analyses allowed us to quantify choice consistency and risk aversion for each individual. Choice consistency was related to the amplitude of P200; risk aversion was related to modulation of the medial frontal negativity (MFN) as a function of choice uncertainty, to the amplitude of a late positive potential (LPP). These findings are consistent with the idea that differences in individuals' behavior when making financial choices may reflect variations in the type of heuristics they adopt, which in turn may may be reflected in differences in brain dynamics.


2021 ◽  
Vol 15 ◽  
Author(s):  
Gorica D. Petrovich

The paraventricular nucleus of the thalamus (PVT) is a complex area that is uniquely embedded across the core feeding, reward, arousal, and stress circuits. The PVT role in the control of feeding behavior is discussed here within a framework of adaptive behavioral guidance based on the body’s energy state and competing drives. The survival of an organism depends on bodily energy resources and promotion of feeding over other behaviors is adaptive except when in danger or sated. The PVT is structurally set up to respond to homeostatic and hedonic needs to feed, and to integrate those signals with physiological and environmental stress, as well as anticipatory needs and other cognitive inputs. It can regulate both food foraging (seeking) and consumption and may balance their expression. The PVT is proposed to accomplish these functions through a network of connections with the brainstem, hypothalamic, striatal, and cortical areas. The connectivity of the PVT further indicates that it could broadcast the information about energy use/gain and behavioral choice to impact cognitive processes—learning, memory, and decision-making—through connections with the medial and lateral prefrontal cortical areas, the hippocampal formation, and the amygdala. The PVT is structurally complex and recent evidence for specific PVT pathways in different aspects of feeding behavior will be discussed.


2021 ◽  
Author(s):  
John Stolte

How do automatic vs. controlled, hot vs. cold, and agentic vs. communal facets of cultural cognition operate together in a perspective informed by social neuroscience? This question is explored by re-imagining Malinowski’s classic ethnographic case study of the Kula in light of a contemporary social exchange theory of negotiation networks. We propose: (1) sub-institutional patterns of power-dependence form a structural foundation for the rise of tacit meanings, which evolve through social negotiation into explicit, cultural meaning agreements; (2) crucial sub-cultural categories form around the pursuit of both agentic benefits and communal benefits; (3) an individual is culturally shaped through externalization, socialization, and internalization to value and be motivated to seek both kinds of benefits; (4) an individual faces the existential task of navigating both agentic and communal situations across the negotiation network; (5) the basic individual mechanism underlying such navigation entails motivated behavioral choice and motivated cultural cognition; (6) a behavioral choice rests on automatic, largely implicit and hot cognitive processing; (7) motivated cultural cognition rests mostly on the deliberate, mostly explicit, and cool selection of materials from the prevailing cultural toolkit for assembling a justification, but whose underlying trajectory is biased by an automatic, hot value-position, whether agentic or communal. Based on the analysis, some directions for future empirical research are suggested.


2021 ◽  
Author(s):  
John Stolte

How do automatic vs. controlled, hot vs. cold, and agentic vs. communal facets of cultural cognition operate together in a perspective informed by social neuroscience? This question is explored by re-imagining Malinowski’s classic ethnographic case study of the Kula in light of a contemporary social exchange theory of negotiation networks. We propose: (1) sub-institutional patterns of power-dependence form a structural foundation for the rise of tacit meanings, which evolve through social negotiation into explicit, cultural meaning agreements; (2) crucial sub-cultural categories form around the pursuit of both agentic benefits and communal benefits; (3) an individual is culturally shaped through externalization, socialization, and internalization to value and be motivated to seek both kinds of benefits; (4) an individual faces the existential task of navigating both agentic and communal situations across the negotiation network; (5) the basic individual mechanism underlying such navigation entails motivated behavioral choice and motivated cultural cognition; (6) a behavioral choice rests on automatic, largely implicit and hot cognitive processing; (7) motivated cultural cognition rests mostly on the deliberate, mostly explicit, and cool selection of materials from the prevailing cultural toolkit for assembling a justification, but whose underlying trajectory is biased by an automatic, hot value-position, whether agentic or communal. Based on the analysis, some directions for future empirical research are suggested.


2021 ◽  
Author(s):  
John Stolte

How do automatic vs. controlled, hot vs. cold, and agentic vs. communal facets of cultural cognition operate together in a perspective informed by social neuroscience? This question is explored by re-imagining Malinowski’s classic ethnographic case study of the Kula in light of a contemporary social exchange theory of negotiation networks. We propose: (1) sub-institutional patterns of power-dependence form a structural foundation for the rise of tacit meanings, which evolve through social negotiation into explicit, cultural meaning agreements; (2) crucial sub-cultural categories form around the pursuit of both agentic benefits and communal benefits; (3) an individual is culturally shaped through externalization, socialization, and internalization to value and be motivated to seek both kinds of benefits; (4) an individual faces the existential task of navigating both agentic and communal situations across the negotiation network; (5) the basic individual mechanism underlying such navigation entails motivated behavioral choice and motivated cultural cognition; (6) a behavioral choice rests on automatic, largely implicit and hot cognitive processing; (7) motivated cultural cognition rests mostly on the deliberate, mostly explicit, and cool selection of materials from the prevailing cultural toolkit for assembling a justification, but whose underlying trajectory is biased by an automatic, hot value-position, whether agentic or communal. Based on the analysis, some directions for future empirical research are suggested.


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