Sparse coding and challenges for Bayesian models of the brain

2013 ◽  
Vol 36 (3) ◽  
pp. 232-233 ◽  
Author(s):  
Thomas Trappenberg ◽  
Paul Hollensen

AbstractWhile the target article provides a glowing account for the excitement in the field, we stress that hierarchical predictive learning in the brain requires sparseness of the representation. We also question the relation between Bayesian cognitive processes and hierarchical generative models as discussed by the target article.

2015 ◽  
Vol 370 (1668) ◽  
pp. 20140170 ◽  
Author(s):  
Riitta Hari ◽  
Lauri Parkkonen

We discuss the importance of timing in brain function: how temporal dynamics of the world has left its traces in the brain during evolution and how we can monitor the dynamics of the human brain with non-invasive measurements. Accurate timing is important for the interplay of neurons, neuronal circuitries, brain areas and human individuals. In the human brain, multiple temporal integration windows are hierarchically organized, with temporal scales ranging from microseconds to tens and hundreds of milliseconds for perceptual, motor and cognitive functions, and up to minutes, hours and even months for hormonal and mood changes. Accurate timing is impaired in several brain diseases. From the current repertoire of non-invasive brain imaging methods, only magnetoencephalography (MEG) and scalp electroencephalography (EEG) provide millisecond time-resolution; our focus in this paper is on MEG. Since the introduction of high-density whole-scalp MEG/EEG coverage in the 1990s, the instrumentation has not changed drastically; yet, novel data analyses are advancing the field rapidly by shifting the focus from the mere pinpointing of activity hotspots to seeking stimulus- or task-specific information and to characterizing functional networks. During the next decades, we can expect increased spatial resolution and accuracy of the time-resolved brain imaging and better understanding of brain function, especially its temporal constraints, with the development of novel instrumentation and finer-grained, physiologically inspired generative models of local and network activity. Merging both spatial and temporal information with increasing accuracy and carrying out recordings in naturalistic conditions, including social interaction, will bring much new information about human brain function.


2021 ◽  
Author(s):  
Hugh McGovern ◽  
Marte Otten

Bayesian processing has become a popular framework by which to understand cognitive processes. However, relatively little has been done to understand how Bayesian processing in the brain can be applied to understanding intergroup cognition. We assess how categorization and evaluation processes unfold based on priors about the ethnic outgroup being perceived. We then consider how the precision of prior knowledge about groups differentially influence perception depending on how the information about that group was learned affects the way in which it is recalled. Finally, we evaluate the mechanisms of how humans learn information about other ethnic groups and assess how the method of learning influences future intergroup perception. We suggest that a predictive processing framework for assessing prejudice could help accounting for seemingly disparate findings on intergroup bias from social neuroscience, social psychology, and evolutionary psychology. Such an integration has important implications for future research on prejudice at the interpersonal, intergroup, and societal levels.


2019 ◽  
Author(s):  
Deniz Ertekin ◽  
Leonie Kirszenblat ◽  
Richard Faville ◽  
Bruno van Swinderen

AbstractSleep is vital for survival. Yet, under environmentally challenging conditions such as starvation, animals suppress their need for sleep. Interestingly, starvation-induced sleep loss does not evoke a subsequent sleep rebound. Little is known about how starvation-induced sleep deprivation differs from other types of sleep loss, or why some sleep functions become dispensable during starvation. Here we demonstrate that downregulation of unpaired-2 (upd2, the Drosophila ortholog of leptin), is sufficient to mimic a starved-like state in flies. We use this ‘genetically starved’ state to investigate the consequences of a starvation signal on visual attention and sleep in otherwise well-fed flies, thereby sidestepping the negative side-effects of undernourishment. We find that knockdown of upd2 in the fat body is sufficient to suppress sleep while also increasing selective visual attention and promoting night-time feeding. Further, we show that this peripheral signal is integrated in the fly brain via insulin-expressing cells. Together, these findings identify a role for peripheral tissue-to-brain interactions in the simultaneous regulation of sleep and attention, to potentially promote adaptive behaviors necessary for survival in hungry animals.Author SummarySleep is important for maintaining both physiological (e.g., metabolic, immunological, and developmental) and cognitive processes, such as selective attention. Under nutritionally impoverished conditions, animals suppress sleep and increase foraging to locate food. Yet it is currently unknown how an animal is able to maintain well-tuned cognitive processes, despite being sleep deprived. Here we investigate this question by studying flies that have been genetically engineered to lack a satiety signal, and find that signaling from fat bodies in the periphery to insulin-expressing cells in the brain simultaneously regulates sleep need and attention-like processes.


2015 ◽  
Vol 38 ◽  
Author(s):  
Julian Kiverstein ◽  
Mark Miller

AbstractPessoa (2013) makes a compelling case for conceiving of emotion and cognition as deeply integrated processes in the brain. We will begin our commentary by asking what implications this view of the brain has for an ontology of cognition – a theory of what cognition is and what cognitive processes exist. We will suggest that Pessoa's book, The Cognitive-Emotional Brain, provides strong support for an embodied theory of cognition. We end our commentary by offering some speculation about how Pessoa's arguments naturally extend to social cognition.


2008 ◽  
Vol 28 ◽  
pp. 191-204 ◽  
Author(s):  
Ching-fen Hsu ◽  
Annette Karmiloff-Smith

Most aspects of human life—from gene expression, to brain structure/function, to underlying linguistic and cognitive processes, through to overt language production and comprehension behaviors—are the result of dynamic developmental processes, in which timing plays a crucial role. So, the study of language acquisition in developmental disorders such as Williams syndrome (WS) needs to change from the still widely held view that developmental disorders can be accounted for in terms of spared versus impaired modules to one that takes serious account of the fact that the infant cortex passes from an initial state of high regional interconnectivity to a subsequent state of progressively increasing specialization and localization of functional brain networks. With such early interconnectivity in mind, developmental neuroscientists must explore the possibility that a small perturbation in low-level processes in one part of the brain very early in development can result in serious deficits in higher-level processes in another part of the brain later in development. Therefore, in profiling developmental disorders of language such as in WS, it is vital to start in early infancy, from which to trace the full trajectory of the interactions of language and other cognitive processes across infancy, toddlerhood, and childhood, through to adolescence and adulthood.


Author(s):  
Giuseppe Curcio ◽  
Sara Peracchia

In the last years, it is ever more frequent to read popular press stories about the effects of video and/or computer games on the brain and on the behavior. In some cases, we can read something claiming that video games “damage the brain,” while in others these activities can “boost brain power,” and such conflicting proclamation create confusion about the real or potential effects of this activity on human beings. Thus, it is very interesting to deeply understand the effect that exposure to video games (VGs) can have on cognitive processes, with particular attention to decision making. Only a few studies have been carried out on this issue: the main aim of this contribution is to clarify these aspects, critically reviewing the existing scientific literature. Particular attention has been dedicated to normal and pathological players, different types of VGs, and moral aspects of decision making vulnerable to VGs. It has been concluded that research in this area is still in its early days, and this short review aims at discussing several issues and challenges that should be addressed to forward this research field.


Author(s):  
Ebrahim Oshni Alvandi

One way to evaluate cognitive processes in living or nonliving systems is by using the notion of “information processing”. Emotions as cognitive processes orient human beings to recognize, express and display themselves or their wellbeing through dynamical and adaptive form of information processing. In addition, humans behave or act emotionally in an embodied environment. The brain embeds symbols, meaning and purposes for emotions as well. So any model of natural or autonomous emotional agents/systems needs to consider the embodied features of emotions that are processed in an informational channel of the brain or a processing system. This analytical and explanatory study described in this chapter uses the pragmatic notion of information to develop a theoretical model for emotions that attempts to synthesize some essential aspects of human emotional processing. The model holds context-sensitive and purpose-based features of emotional pattering in the brain. The role of memory is discussed and an idea of control parameters that have roles in processing environmental variables in emotional patterning is introduced.


2010 ◽  
Vol 4 (3) ◽  
pp. 181-187 ◽  
Author(s):  
Kellen Christina Malheiros Borges ◽  
Jussara Rocha Ferreira ◽  
Leonardo Ferreira Caixeta

Abstract The organization of the prefrontal cortex can hold important clues to understanding its functioning. The Cebus apella present cerebral particularities and behavioral and cognitive flexibility, possessing abilities that demonstrate an overlap with those of big primates. Objectives: To provide evidence of correlations between anatomical particularities of the brain areas analyzed and some cognitive abilities previously described in these simians. Methods: The relative size of the cerebral hemispheres and prefrontal areas (PFA) were measured using a Universal caliper, in 24 hemispheres of C. apella fixed with 10% formaldehyde and kept in 70% alcoholic solution. Results: Data gathered allowed the calculation of the approximate volume (cm3) of the areas under study: right antimere 35.2 cm3 (±5.3), left antimere 31.3 cm3 (±5.4) and of the left PFA 6.0 cm3 (±1.5) and right PFA 6.9 cm3 (±1.7). Conclusions: We concluded that the PFA represents about 20% of the cerebral volume of this primate. No significant differences were found in the antimeres in terms of volume and area of the hemispheres and likewise for the PFA. These animals have a proportionally bigger brain than that of other neotropical primates in the literature. This allows us to infer that the frontal lobe of C. apella is also larger; possibly related to its maturity and developed cognitive functions indicative of the culture transfers characteristic of this species.


2000 ◽  
Vol 23 (3) ◽  
pp. 406-407
Author(s):  
Andreas Keil ◽  
Thomas Elbert

Nunez is to be applauded for putting forward a theoretical brain model. In order to improve any model it needs to be experimentally testable. The model presented in the target article suffers from insufficient clarity as to how new experimental designs could be derived. This is a consequence of neglecting the purpose of the brain, which is to produce effective and adaptive behavior. It might be possible to overcome this drawback by including Hebb-based modeling.


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