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predictive coding neuroscience

Dalma Tényi, Csilla Gyimesi, Norbert Kovács, Tamás Tényi, József Janszky
Background The retrospective diagnosis of Fyodor Mikhailovich Dostoyevsky's (1821-1881) neurological and psychiatric disease proves to be particularly interesting. Recent neurobiological data suggest a solution to the questions regarding the writer's retrospective diagnosis, claiming the insular cortex to be the origin of the rare ecstatic seizures. Regarding Dostoyevsky's pathological gambling, this hypothesis is consistent with another finding from recent neuroscience, namely that the malfunction of the insula could be an important underlying pathology in gambling disorder...
September 2016: Journal of Behavioral Addictions
Martin J Chadwick, Raeesa S Anjum, Dharshan Kumaran, Daniel L Schacter, Hugo J Spiers, Demis Hassabis
Recent advances in neuroscience have given us unprecedented insight into the neural mechanisms of false memory, showing that artificial memories can be inserted into the memory cells of the hippocampus in a way that is indistinguishable from true memories. However, this alone is not enough to explain how false memories can arise naturally in the course of our daily lives. Cognitive psychology has demonstrated that many instances of false memory, both in the laboratory and the real world, can be attributed to semantic interference...
September 6, 2016: Proceedings of the National Academy of Sciences of the United States of America
Martin V Butz
This paper proposes how various disciplinary theories of cognition may be combined into a unifying, sub-symbolic, computational theory of cognition. The following theories are considered for integration: psychological theories, including the theory of event coding, event segmentation theory, the theory of anticipatory behavioral control, and concept development; artificial intelligence and machine learning theories, including reinforcement learning and generative artificial neural networks; and theories from theoretical and computational neuroscience, including predictive coding and free energy-based inference...
2016: Frontiers in Psychology
Olaf Hauk
Theoretical developments about the nature of semantic representations and processes should be accompanied by a discussion of how these theories can be validated on the basis of empirical data. Here, I elaborate on the link between theory and empirical research, highlighting the need for temporal information in order to distinguish fundamental aspects of semantics. The generic point that fast cognitive processes demand fast measurement techniques has been made many times before, although arguably more often in the psychophysiological community than in the metabolic neuroimaging community...
August 2016: Psychonomic Bulletin & Review
Erik C Johnson, Douglas L Jones, Rama Ratnam
Sensory neurons code information about stimuli in their sequence of action potentials (spikes). Intuitively, the spikes should represent stimuli with high fidelity. However, generating and propagating spikes is a metabolically expensive process. It is therefore likely that neural codes have been selected to balance energy expenditure against encoding error. Our recently proposed optimal, energy-constrained neural coder (Jones et al. Frontiers in Computational Neuroscience, 9, 61 2015) postulates that neurons time spikes to minimize the trade-off between stimulus reconstruction error and expended energy by adjusting the spike threshold using a simple dynamic threshold...
April 2016: Journal of Computational Neuroscience
Sarah N Jung, Andre Longtin, Leonard Maler
Sensory systems must extract behaviorally relevant information and therefore often exhibit a very high sensitivity. How the nervous system reaches such high sensitivity levels is an outstanding question in neuroscience. Weakly electric fish (Apteronotus leptorhynchus/albifrons) are an excellent model system to address this question because detailed background knowledge is available regarding their behavioral performance and its underlying neuronal substrate. Apteronotus use their electrosense to detect prey objects...
April 2016: Journal of Neurophysiology
M W Spratling
Predictive coding is a leading theory of how the brain performs probabilistic inference. However, there are a number of distinct algorithms which are described by the term "predictive coding". This article provides a concise review of these different predictive coding algorithms, highlighting their similarities and differences. Five algorithms are covered: linear predictive coding which has a long and influential history in the signal processing literature; the first neuroscience-related application of predictive coding to explaining the function of the retina; and three versions of predictive coding that have been proposed to model cortical function...
January 19, 2016: Brain and Cognition
Ina Bornkessel-Schlesewsky, Markus Philipp, Phillip M Alday, Franziska Kretzschmar, Tanja Grewe, Maike Gumpert, Petra B Schumacher, Matthias Schlesewsky
Hierarchical predictive coding has been identified as a possible unifying principle of brain function, and recent work in cognitive neuroscience has examined how it may be affected by age-related changes. Using language comprehension as a test case, the present study aimed to dissociate age-related changes in prediction generation versus internal model adaptation following a prediction error. Event-related brain potentials (ERPs) were measured in a group of older adults (60-81 years; n = 40) as they read sentences of the form "The opposite of black is white/yellow/nice...
2015: Frontiers in Aging Neuroscience
William R Stauffer
A recent study shows that midbrain GABA (inhibitory) neurons code for environmentally predicted rewards. These GABA neurons communicate with dopamine neurons, where the reward prediction is subtracted from delivered reward. Thus, the GABA prediction signal shapes the dopamine reward prediction error signal.
November 16, 2015: Current Biology: CB
Georg Northoff
What is the self? This is a question that has long been discussed in (Western) philosophy where the self is traditionally conceived a higher-order function at the apex or pinnacle of all functions. This tradition has been transferred to recent neuroscience where the self is often considered to be a higher-order cognitive function reflected in memory and other high-level judgements. However, other lines of research demonstrate a close and intimate relationship between self-specificity and more basic functions like perceptions, emotions and reward...
January 2016: Cognitive Neuroscience
Eric Feczko, Thomas A J Mitchell, Hasse Walum, Jenna M Brooks, Thomas R Heitz, Larry J Young, Lisa A Parr
Understanding the properties of a social environment is important for understanding the dynamics of social relationships. Understanding such dynamics is relevant for multiple fields, ranging from animal behaviour to social and cognitive neuroscience. To quantify social environment properties, recent studies have incorporated social network analysis. Social network analysis quantifies both the global and local properties of a social environment, such as social network efficiency and the roles played by specific individuals, respectively...
September 1, 2015: Animal Behaviour
Roberto Limongi, Angélica M Silva, Begoña Góngora-Costa
We have previously shown that temporal prediction errors (PEs, the differences between the expected and the actual stimulus' onset times) modulate the effective connectivity between the anterior cingulate cortex and the right anterior insular cortex (rAI), causing the activity of the rAI to decrease. The activity of the rAI is associated with efficient performance under uncertainty (e.g., changing a prepared behavior when a change demand is not expected), which leads to hypothesize that temporal PEs might disrupt behavior-change performance under uncertainty...
2015: Frontiers in Psychology
Karl J Friston, Klaas Enno Stephan, Read Montague, Raymond J Dolan
In this Review, we discuss advances in computational neuroscience that relate to psychiatry. We review computational psychiatry in terms of the ambitions of investigators, emerging domains of application, and future work. Our focus is on theoretical formulations of brain function that put subjective beliefs and behaviour within formal (computational) frameworks-frameworks that can be grounded in neurophysiology down to the level of synaptic mechanisms. Understanding the principles that underlie the brain's functional architecture might be essential for an informed phenotyping of psychopathology in terms of its pathophysiological underpinnings...
July 2014: Lancet Psychiatry
Mariella Pazzaglia, Giulia Galli
The bidirectional flow of perceptual and motor information has recently proven useful as rehabilitative tool for re-building motor memories. We analyzed how the visual-motor approach has been successfully applied in neurorehabilitation, leading to surprisingly rapid and effective improvements in action execution. We proposed that the contribution of multiple sensory channels during treatment enables individuals to predict and optimize motor behavior, having a greater effect than visual input alone. We explored how the state-of-the-art neuroscience techniques show direct evidence that employment of visual-motor approach leads to increased motor cortex excitability and synaptic and cortical map plasticity...
2015: Frontiers in Behavioral Neuroscience
Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass, Robert Legenstein
During the last decade, Bayesian probability theory has emerged as a framework in cognitive science and neuroscience for describing perception, reasoning and learning of mammals. However, our understanding of how probabilistic computations could be organized in the brain, and how the observed connectivity structure of cortical microcircuits supports these calculations, is rudimentary at best. In this study, we investigate statistical inference and self-organized learning in a spatially extended spiking network model, that accommodates both local competitive and large-scale associative aspects of neural information processing, under a unified Bayesian account...
2015: PloS One
Norman Farb, Jennifer Daubenmier, Cynthia J Price, Tim Gard, Catherine Kerr, Barnaby D Dunn, Anne Carolyn Klein, Martin P Paulus, Wolf E Mehling
Interoception can be broadly defined as the sense of signals originating within the body. As such, interoception is critical for our sense of embodiment, motivation, and well-being. And yet, despite its importance, interoception remains poorly understood within modern science. This paper reviews interdisciplinary perspectives on interoception, with the goal of presenting a unified perspective from diverse fields such as neuroscience, clinical practice, and contemplative studies. It is hoped that this integrative effort will advance our understanding of how interoception determines well-being, and identify the central challenges to such understanding...
2015: Frontiers in Psychology
Aline W de Borst, Beatrice de Gelder
Recent developments in neuroimaging research support the increased use of naturalistic stimulus material such as film, avatars, or androids. These stimuli allow for a better understanding of how the brain processes information in complex situations while maintaining experimental control. While avatars and androids are well suited to study human cognition, they should not be equated to human stimuli. For example, the uncanny valley hypothesis theorizes that artificial agents with high human-likeness may evoke feelings of eeriness in the human observer...
2015: Frontiers in Psychology
Keith A May, Joshua A Solomon
One of the major goals of sensory neuroscience is to understand how an organism's perceptual abilities relate to the underlying physiology. To this end, we derived equations to estimate the best possible psychophysical discrimination performance, given the properties of the neurons carrying the sensory code.We set up a generic sensory coding model with neurons characterized by their tuning function to the stimulus and the random process that generates spikes. The tuning function was a Gaussian function or a sigmoid (Naka-Rushton) function...
2015: Journal of Vision
Leon de Bruin, Derek Strijbos
Mindreading accounts of social cognition typically claim that we cannot directly perceive the mental states of other agents and therefore have to exercise certain cognitive capacities in order to infer them. In recent years this view has been challenged by proponents of the direct social perception (DSP) thesis, who argue that the mental states of other agents can be directly perceived. In this paper we show, first, that the main disagreement between proponents of DSP and mindreading accounts has to do with the so-called 'sandwich model' of social cognition...
November 2015: Consciousness and Cognition
Jing Jiang, Chuansheng Chen, Bohan Dai, Guang Shi, Guosheng Ding, Li Liu, Chunming Lu
The neural mechanism of leader emergence is not well understood. This study investigated (i) whether interpersonal neural synchronization (INS) plays an important role in leader emergence, and (ii) whether INS and leader emergence are associated with the frequency or the quality of communications. Eleven three-member groups were asked to perform a leaderless group discussion (LGD) task, and their brain activities were recorded via functional near infrared spectroscopy (fNIRS)-based hyperscanning. Video recordings of the discussions were coded for leadership and communication...
April 7, 2015: Proceedings of the National Academy of Sciences of the United States of America
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