keyword
MENU ▼
Read by QxMD icon Read
search

predictive coding neuroscience

keyword
https://www.readbyqxmd.com/read/28654358/predicting-motivation-computational-models-of-pfc-can-explain-neural-coding-of-motivation-and-effort-based-decision-making-in-health-and-disease
#1
Eliana Vassena, James Deraeve, William H Alexander
Human behavior is strongly driven by the pursuit of rewards. In daily life, however, benefits mostly come at a cost, often requiring that effort be exerted to obtain potential benefits. Medial pFC (MPFC) and dorsolateral pFC (DLPFC) are frequently implicated in the expectation of effortful control, showing increased activity as a function of predicted task difficulty. Such activity partially overlaps with expectation of reward and has been observed both during decision-making and during task preparation. Recently, novel computational frameworks have been developed to explain activity in these regions during cognitive control, based on the principle of prediction and prediction error (predicted response-outcome [PRO] model [Alexander, W...
June 27, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28634436/dual-coding-theory-explains-biphasic-collective-computation-in-neural-decision-making
#2
Bryan C Daniels, Jessica C Flack, David C Krakauer
A central question in cognitive neuroscience is how unitary, coherent decisions at the whole organism level can arise from the distributed behavior of a large population of neurons with only partially overlapping information. We address this issue by studying neural spiking behavior recorded from a multielectrode array with 169 channels during a visual motion direction discrimination task. It is well known that in this task there are two distinct phases in neural spiking behavior. Here we show Phase I is a distributed or incompressible phase in which uncertainty about the decision is substantially reduced by pooling information from many cells...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28626813/hallucinations-as-top-down-effects-on-perception
#3
Albert R Powers, Megan Kelley, Philip R Corlett
The problem of whether and how information is integrated across hierarchical brain networks embodies a fundamental tension in contemporary cognitive neuroscience, and by extension, cognitive neuropsychiatry. Indeed, the penetrability of perceptual processes in a 'top-down' manner by higher-level cognition-a natural extension of hierarchical models of perception-may contradict a strictly modular view of mental organization. Furthermore, some in the cognitive science community have challenged cognitive penetration as an unlikely, if not impossible, process...
September 2016: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/28619529/on-the-partnership-between-neural-representations-of-object-categories-and-visual-features-in-the-ventral-visual-pathway
#4
Stefania Bracci, J Brendan Ritchie, Hans Op de Beeck
A dominant view in the cognitive neuroscience of object vision is that regions of the ventral visual pathway exhibit some degree of category selectivity. However, recent findings obtained with multivariate pattern analyses (MVPA) suggest that apparent category selectivity in these regions is dependent on more basic visual features of stimuli. In which case a rethinking of the function and organization of the ventral pathway may be in order. We suggest that addressing this issue of functional specificity requires clear coding hypotheses, about object category and visual features, which make contrasting predictions about neuroimaging results in ventral pathway regions...
June 12, 2017: Neuropsychologia
https://www.readbyqxmd.com/read/28599113/implementing-a-bayes-filter-in-a-neural-circuit-the-case-of-unknown-stimulus-dynamics
#5
Sacha Sokoloski
In order to interact intelligently with objects in the world, animals must first transform neural population responses into estimates of the dynamic, unknown stimuli that caused them. The Bayesian solution to this problem is known as a Bayes filter, which applies Bayes' rule to combine population responses with the predictions of an internal model. The internal model of the Bayes filter is based on the true stimulus dynamics, and in this note, we present a method for training a theoretical neural circuit to approximately implement a Bayes filter when the stimulus dynamics are unknown...
June 9, 2017: Neural Computation
https://www.readbyqxmd.com/read/28448499/when-do-correlations-increase-with-firing-rates-in-recurrent-networks
#6
Andrea K Barreiro, Cheng Ly
A central question in neuroscience is to understand how noisy firing patterns are used to transmit information. Because neural spiking is noisy, spiking patterns are often quantified via pairwise correlations, or the probability that two cells will spike coincidentally, above and beyond their baseline firing rate. One observation frequently made in experiments, is that correlations can increase systematically with firing rate. Theoretical studies have determined that stimulus-dependent correlations that increase with firing rate can have beneficial effects on information coding; however, we still have an incomplete understanding of what circuit mechanisms do, or do not, produce this correlation-firing rate relationship...
April 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28377690/increasing-our-insular-world-view-interoception-and-psychopathology-for-psychotherapists
#7
REVIEW
Patrice Duquette
Interoception has been determined to be an elemental aspect of the neural foundations of physiological homeostasis, subjective experience, and motivated behavior. This paper reviews current neuroscience research regarding interoception and forms of interoceptive dysfunction that may result in psychopathology, focusing on depression, and anxiety, in a manner conducive to psychotherapists engaging with it to consider clinical applications. Pertinent aspects of interoceptive system processes in relation to psychopathology are addressed: Functional interoceptive ability and the forms of its expression, the difficulty of accurate measurement of such within an individual or group, interoceptive inference processes and perturbations...
2017: Frontiers in Neuroscience
https://www.readbyqxmd.com/read/28360849/embodied-medicine-mens-sana-in-corpore-virtuale-sano
#8
Giuseppe Riva, Silvia Serino, Daniele Di Lernia, Enea Francesco Pavone, Antonios Dakanalis
Progress in medical science and technology drastically improved physicians' ability to interact with patient's physical body. Nevertheless, medicine still addresses the human body from a Hippocratic point of view, considering the organism and its processes just as a matter of mechanics and fluids. However, the interaction between the cognitive neuroscience of bodily self-consciousness (BSC), fundamentally rooted in the integration of multisensory bodily inputs, with virtual reality (VR), haptic technologies and robotics is giving a new meaning to the classic Juvenal's latin dictum "Mens sana in corpore sano" (a healthy mind in a healthy body)...
2017: Frontiers in Human Neuroscience
https://www.readbyqxmd.com/read/28338892/embodiment-and-schizophrenia-a-review-of-implications-and-applications
#9
Wolfgang Tschacher, Anne Giersch, Karl Friston
In recent decades, embodiment has become an influential concept in psychology and cognitive neuroscience. Embodiment denotes the study of the reciprocal (causal) relationships between mind and body, with the mind not only affecting the body but also vice versa. Embodied cognition comes to the fore in sensorimotor coupling, predictive coding, and nonverbal behavior. Additionally, the embodiment of the mind constitutes the basis of social interaction and communication, as evident in research on nonverbal synchrony and mimicry...
March 3, 2017: Schizophrenia Bulletin
https://www.readbyqxmd.com/read/28203635/grounded-understanding-of-abstract-concepts-the-case-of-stem-learning
#10
REVIEW
Justin C Hayes, David J M Kraemer
Characterizing the neural implementation of abstract conceptual representations has long been a contentious topic in cognitive science. At the heart of the debate is whether the "sensorimotor" machinery of the brain plays a central role in representing concepts, or whether the involvement of these perceptual and motor regions is merely peripheral or epiphenomenal. The domain of science, technology, engineering, and mathematics (STEM) learning provides an important proving ground for sensorimotor (or grounded) theories of cognition, as concepts in science and engineering courses are often taught through laboratory-based and other hands-on methodologies...
2017: Cognitive Research: Principles and Implications
https://www.readbyqxmd.com/read/28188890/the-hierarchical-basis-of-neurovisceral-integration
#11
REVIEW
Ryan Smith, Julian F Thayer, Sahib S Khalsa, Richard D Lane
The neurovisceral integration (NVI) model was originally proposed to account for observed relationships between peripheral physiology, cognitive performance, and emotional/physical health. This model has also garnered a considerable amount of empirical support, largely from studies examining cardiac vagal control. However, recent advances in functional neuroanatomy, and in computational neuroscience, have yet to be incorporated into the NVI model. Here we present an updated/expanded version of the NVI model that incorporates these advances...
February 8, 2017: Neuroscience and Biobehavioral Reviews
https://www.readbyqxmd.com/read/28138530/feedforward-and-feedback-frequency-dependent-interactions-in-a-large-scale-laminar-network-of-the-primate-cortex
#12
Jorge F Mejias, John D Murray, Henry Kennedy, Xiao-Jing Wang
Interactions between top-down and bottom-up processes in the cerebral cortex hold the key to understanding attentional processes, predictive coding, executive control, and a gamut of other brain functions. However, the underlying circuit mechanism remains poorly understood and represents a major challenge in neuroscience. We approached this problem using a large-scale computational model of the primate cortex constrained by new directed and weighted connectivity data. In our model, the interplay between feedforward and feedback signaling depends on the cortical laminar structure and involves complex dynamics across multiple (intralaminar, interlaminar, interareal, and whole cortex) scales...
November 2016: Science Advances
https://www.readbyqxmd.com/read/28068420/graphics-processing-unit-accelerated-code-for-computing-second-order-wiener-kernels-and-spike-triggered-covariance
#13
Omer Mano, Damon A Clark
Sensory neuroscience seeks to understand and predict how sensory neurons respond to stimuli. Nonlinear components of neural responses are frequently characterized by the second-order Wiener kernel and the closely-related spike-triggered covariance (STC). Recent advances in data acquisition have made it increasingly common and computationally intensive to compute second-order Wiener kernels/STC matrices. In order to speed up this sort of analysis, we developed a graphics processing unit (GPU)-accelerated module that computes the second-order Wiener kernel of a system's response to a stimulus...
2017: PloS One
https://www.readbyqxmd.com/read/27558486/the-possible-role-of-the-insula-in-the-epilepsy-and-the-gambling-disorder-of-fyodor-dostoyevsky
#14
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
https://www.readbyqxmd.com/read/27551087/semantic-representations-in-the-temporal-pole-predict-false-memories
#15
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
https://www.readbyqxmd.com/read/27445895/toward-a-unified-sub-symbolic-computational-theory-of-cognition
#16
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
https://www.readbyqxmd.com/read/27294424/only-time-will-tell-why-temporal-information-is-essential-for-our-neuroscientific-understanding-of-semantics
#17
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
https://www.readbyqxmd.com/read/26922680/a-minimum-error-energy-constrained-neural-code-is-an-instantaneous-rate-code
#18
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
https://www.readbyqxmd.com/read/26843601/weak-signal-amplification-and-detection-by-higher-order-sensory-neurons
#19
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
https://www.readbyqxmd.com/read/26809759/a-review-of-predictive-coding-algorithms
#20
REVIEW
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
keyword
keyword
84827
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"