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1.
BMC Neurosci ; 25(1): 23, 2024 May 06.
Article in English | MEDLINE | ID: mdl-38711047

ABSTRACT

Translating artificial intelligence techniques into the realm of cognitive neuroscience holds promise for significant breakthroughs in our ability to probe the intrinsic mechanisms of the brain. The recent unprecedented development of robust AI models is changing how and what we understand about the brain. In this Editorial, we invite contributions for a BMC Neuroscience Collection on "AI and Cognitive Neuroscience".


Subject(s)
Artificial Intelligence , Cognitive Neuroscience , Humans , Cognitive Neuroscience/methods , Cognitive Neuroscience/trends , Brain/physiology , Neurosciences/methods , Neurosciences/trends
2.
Nature ; 623(7986): 263-273, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37938706

ABSTRACT

Functional magnetic resonance imaging (fMRI) enables non-invasive access to the awake, behaving human brain. By tracking whole-brain signals across a diverse range of cognitive and behavioural states or mapping differences associated with specific traits or clinical conditions, fMRI has advanced our understanding of brain function and its links to both normal and atypical behaviour. Despite this headway, progress in human cognitive neuroscience that uses fMRI has been relatively isolated from rapid advances in other subdomains of neuroscience, which themselves are also somewhat siloed from one another. In this Perspective, we argue that fMRI is well-placed to integrate the diverse subfields of systems, cognitive, computational and clinical neuroscience. We first summarize the strengths and weaknesses of fMRI as an imaging tool, then highlight examples of studies that have successfully used fMRI in each subdomain of neuroscience. We then provide a roadmap for the future advances that will be needed to realize this integrative vision. In this way, we hope to demonstrate how fMRI can help usher in a new era of interdisciplinary coherence in neuroscience.


Subject(s)
Functional Neuroimaging , Magnetic Resonance Imaging , Neurosciences , Humans , Brain/diagnostic imaging , Brain/physiology , Brain/physiopathology , Cognitive Neuroscience/methods , Cognitive Neuroscience/trends , Functional Neuroimaging/trends , Neurosciences/methods , Neurosciences/trends , Phenotype , Magnetic Resonance Imaging/trends
3.
4.
Neuron ; 109(19): 3055-3068, 2021 10 06.
Article in English | MEDLINE | ID: mdl-34416170

ABSTRACT

A major shift is happening within neurophysiology: a population doctrine is drawing level with the single-neuron doctrine that has long dominated the field. Population-level ideas have so far had their greatest impact in motor neuroscience, but they hold great promise for resolving open questions in cognition as well. Here, we codify the population doctrine and survey recent work that leverages this view to specifically probe cognition. Our discussion is organized around five core concepts that provide a foundation for population-level thinking: (1) state spaces, (2) manifolds, (3) coding dimensions, (4) subspaces, and (5) dynamics. The work we review illustrates the progress and promise that population-level thinking holds for cognitive neuroscience-for delivering new insight into attention, working memory, decision-making, executive function, learning, and reward processing.


Subject(s)
Cognitive Neuroscience/trends , Neurophysiology/trends , Population , Animals , Humans
5.
Neuroimage ; 216: 116561, 2020 08 01.
Article in English | MEDLINE | ID: mdl-32001371

ABSTRACT

Naturalistic, dynamic movies evoke strong, consistent, and information-rich patterns of activity over a broad expanse of cortex and engage multiple perceptual and cognitive systems in parallel. The use of naturalistic stimuli enables functional brain imaging research to explore cognitive domains that are poorly sampled in highly-controlled experiments. These domains include perception and understanding of agentic action, which plays a larger role in visual representation than was appreciated from experiments using static, controlled stimuli.


Subject(s)
Biomedical Research , Brain Mapping , Cerebral Cortex/physiology , Cognitive Neuroscience , Magnetic Resonance Imaging , Motion Pictures , Visual Perception/physiology , Animals , Biomedical Research/methods , Biomedical Research/standards , Biomedical Research/trends , Cognitive Neuroscience/methods , Cognitive Neuroscience/standards , Cognitive Neuroscience/trends , Humans
6.
Ann N Y Acad Sci ; 1464(1): 192-203, 2020 03.
Article in English | MEDLINE | ID: mdl-31943260

ABSTRACT

A growing body of literature has investigated the effects of playing video games on brain function and behavior. One key takeaway from this literature has been that not all entertainment video games are created equal with respect to their effects on cognitive functioning. The majority of the research to date has contrasted the cognitive impact of playing first- or third-person shooter games (together dubbed "action video games") against the effects of playing other game types. Indeed, when the research began in the late 1990s, action video games placed a load upon the perceptual, attentional, and cognitive systems in a manner not seen in other video games. However, the video game industry has shifted dramatically over the intervening years. In particular, first- and third-person shooter games are no longer unique in the extent to which they load upon cognitive abilities. Instead, a host of other game genres appear to place similar degrees of load upon these systems. This state of affairs calls for a paradigm shift in the way that the cognitive neuroscience field examines the impact of video game play on cognitive skills and their neural mediators-a shift that is only just now slowly occurring.


Subject(s)
Brain/physiology , Cognition/physiology , Cognitive Neuroscience/trends , Attention/physiology , Humans , Video Games/adverse effects , Video Games/psychology
7.
Ann N Y Acad Sci ; 1464(1): 5-29, 2020 03.
Article in English | MEDLINE | ID: mdl-30085354

ABSTRACT

The past few decades have seen a rapid increase in the use of functional near-infrared spectroscopy (fNIRS) in cognitive neuroscience. This fast growth is due to the several advances that fNIRS offers over the other neuroimaging modalities such as functional magnetic resonance imaging and electroencephalography/magnetoencephalography. In particular, fNIRS is harmless, tolerant to bodily movements, and highly portable, being suitable for all possible participant populations, from newborns to the elderly and experimental settings, both inside and outside the laboratory. In this review we aim to provide a comprehensive and state-of-the-art review of fNIRS basics, technical developments, and applications. In particular, we discuss some of the open challenges and the potential of fNIRS for cognitive neuroscience research, with a particular focus on neuroimaging in naturalistic environments and social cognitive neuroscience.


Subject(s)
Brain/diagnostic imaging , Cognitive Neuroscience/trends , Spectroscopy, Near-Infrared/trends , Brain/physiopathology , Electroencephalography/trends , Functional Neuroimaging , Humans , Magnetic Resonance Imaging/trends
8.
Ann N Y Acad Sci ; 1464(1): 115-141, 2020 03.
Article in English | MEDLINE | ID: mdl-31617589

ABSTRACT

Decades of cognitive neuroscience research has shown that where we look is intimately connected to what we remember. In this article, we review findings from human and nonhuman animals, using behavioral, neuropsychological, neuroimaging, and computational modeling methods, to show that the oculomotor and hippocampal memory systems interact in a reciprocal manner, on a moment-to-moment basis, mediated by a vast structural and functional network. Visual exploration serves to efficiently gather information from the environment for the purpose of creating new memories, updating existing memories, and reconstructing the rich, vivid details from memory. Conversely, memory increases the efficiency of visual exploration. We call for models of oculomotor control to consider the influence of the hippocampal memory system on the cognitive control of eye movements, and for models of hippocampal and broader medial temporal lobe function to consider the influence of the oculomotor system on the development and expression of memory. We describe eye movement-based applications for the detection of neurodegeneration and delivery of therapeutic interventions for mental health disorders for which the hippocampus is implicated and memory dysfunctions are at the forefront.


Subject(s)
Cognitive Neuroscience/trends , Hippocampus/physiology , Memory/physiology , Mental Recall/physiology , Brain Mapping/methods , Eye Movements/physiology , Humans , Magnetic Resonance Imaging
9.
Ann N Y Acad Sci ; 1464(1): 181-191, 2020 03.
Article in English | MEDLINE | ID: mdl-31663150

ABSTRACT

The vast majority of what is known about the neural underpinnings of human cognition comes from studies limited to racially, ethnically, and socioeconomically homogeneous samples. Furthermore, although most studies include both males and females in their samples, sex differences in patterns of brain activity and performance are rarely evaluated. We discuss recent research suggesting that one's socioeconomic status, race/ethnicity, and sex contribute to individual differences in neural structure, function, and related cognitive performance across a variety of cognitive domains. These studies make it clear that findings from decades of cognitive neuroscience research are likely not generalizable to a population that is much more diverse than the samples tested. We argue that these demographics cannot be ignored if we want to understand the neural substrates of human cognition for the diverse, general population. Cognitive neuroscience has been, and continues to be, used to inform education policy and clinical practice. We argue that greater diversity in cognitive neuroscience research is needed to improve reproducibility and to serve the treatment needs of a diverse population. We discuss the challenges to achieving this goal, including consideration of confounding and correlated variables, recruitment, necessary costs, and best practices for dealing with them.


Subject(s)
Cognition Disorders/genetics , Cognition/physiology , Cognitive Neuroscience/trends , Cognition Disorders/physiopathology , Female , Humans , Male , Sex Characteristics , Social Class , White People
10.
Nat Rev Neurosci ; 20(10): 624-634, 2019 10.
Article in English | MEDLINE | ID: mdl-31384033

ABSTRACT

Mental imagery can be advantageous, unnecessary and even clinically disruptive. With methodological constraints now overcome, research has shown that visual imagery involves a network of brain areas from the frontal cortex to sensory areas, overlapping with the default mode network, and can function much like a weak version of afferent perception. Imagery vividness and strength range from completely absent (aphantasia) to photo-like (hyperphantasia). Both the anatomy and function of the primary visual cortex are related to visual imagery. The use of imagery as a tool has been linked to many compound cognitive processes and imagery plays both symptomatic and mechanistic roles in neurological and mental disorders and treatments.


Subject(s)
Cognitive Neuroscience/trends , Imagination/physiology , Nerve Net/physiology , Visual Cortex/physiology , Visual Perception/physiology , Cognitive Neuroscience/methods , Hippocampus/diagnostic imaging , Hippocampus/physiology , Humans , Memory/physiology , Nerve Net/diagnostic imaging , Visual Cortex/diagnostic imaging
11.
Psicológica (Valencia, Ed. impr.) ; 40(1): 26-33, ene. 2019.
Article in English | IBECS | ID: ibc-185019

ABSTRACT

Whether bilingualism has an effect on the executive function of non-verbal representations is probably one of the most controversial issues in cognitive psychology and cognitive neuroscience. As bilinguals have to alternate between two languages that compete for selection in their daily lives, they make use of selection, inhibition, and monitoring (i.e., components of executive function) more often than monolinguals. Thus, it would not be surprising that these highly trained abilities at selecting and monitoring the linguistic processes would also help the processing of non-linguistic representations. Although the "bilingual advantage" in executive control (Bialystok, 1999) has been repeatedly demonstrated, a number of recent studies-in particular since the publication of the Paap and Greenberg (2013) study-have questioned this effect. Both positive and null findings are currently being published from each of the two sides, thus making it difficult to reach consensus in the scientific community. Here, we propose a plausible solution to this debate: a group of independent researches should carry out a carefully planned large-scale study


Uno de los temas actuales más controvertidos en psicología cognitiva y neurociencia cognitiva es si el bilingüismo tiene un efecto sobre el control ejecutivo de las representaciones no verbales. En su vida diaria, los bilingües tienen que alternar entre dos (o más) idiomas que compiten por su selección, por lo que han de seleccionar, monitorizar e inhibir (es decir, emplear componentes de la función ejecutiva) con más frecuencia que los monolingües. Por lo tanto, no sería sorprendente que estas habilidades empleadas para seleccionar/monitorear los procesos lingüísticos en bilingües también ayudaran al procesamiento de representaciones no lingüísticas. Aunque la "ventaja bilingüe" en control ejecutivo (Bialystok, 1999) se ha demostrado repetidamente, varios estudios recientes, especialmente desde la publicación del estudio de Paap y Greenberg (2013), han cuestionado este efecto. En la actualidad, tanto resultados positivos como resultados nulos se están publicando por cada una de ambas partes, lo que dificulta el consenso en la comunidad científica. Proponemos una solución plausible a este debate: que un grupo de investigadores independientes lleve a cabo un estudio cuidadosamente planificado a gran escala


Subject(s)
Humans , Executive Function/classification , Multilingualism , Cognition , Nonverbal Communication/psychology , Problem Solving/classification , Cognitive Neuroscience/trends , Inhibition, Psychological
12.
Neuroimage ; 197: 785-791, 2019 08 15.
Article in English | MEDLINE | ID: mdl-28687519

ABSTRACT

The cortex is a massively recurrent network, characterized by feedforward and feedback connections between brain areas as well as lateral connections within an area. Feedforward, horizontal and feedback responses largely activate separate layers of a cortical unit, meaning they can be dissociated by lamina-resolved neurophysiological techniques. Such techniques are invasive and are therefore rarely used in humans. However, recent developments in high spatial resolution fMRI allow for non-invasive, in vivo measurements of brain responses specific to separate cortical layers. This provides an important opportunity to dissociate between feedforward and feedback brain responses, and investigate communication between brain areas at a more fine- grained level than previously possible in the human species. In this review, we highlight recent studies that successfully used laminar fMRI to isolate layer-specific feedback responses in human sensory cortex. In addition, we review several areas of cognitive neuroscience that stand to benefit from this new technological development, highlighting contemporary hypotheses that yield testable predictions for laminar fMRI. We hope to encourage researchers with the opportunity to embrace this development in fMRI research, as we expect that many future advancements in our current understanding of human brain function will be gained from measuring lamina-specific brain responses.


Subject(s)
Brain Mapping/methods , Brain/physiology , Cognitive Neuroscience/methods , Magnetic Resonance Imaging/methods , Animals , Cognitive Neuroscience/trends , Humans
13.
Eur J Neurosci ; 50(3): 2384-2391, 2019 08.
Article in English | MEDLINE | ID: mdl-30276920

ABSTRACT

Video slot machines are associated with both accelerated transition into problematic forms of gambling, as well as psychosocial harm above and beyond other forms of gambling. A growing body of evidence is uncovering how key design features of multiline slot machines produce an inflated experience of reward, despite the fact that these features offer no overall financial benefit to the player. A pernicious example of this are 'losses disguised as wins' (LDWs), which occur when simultaneous bets placed on multiple lines result in a winning combination that returns an amount greater than zero, but less the total wager. These events are usually accompanied by the same celebratory sounds and animations that accompany true wins. We argue that LDWs may leverage neuropsychological phenomena that underlie reinforcement learning and contribute to extended or repetitive use and gambling-related harm. While other characteristics of slot machine gambling have been examined by cognitive neuroscientists, this feature has not yet received attention. Neuroscientific methods can be used to assess the impact of LDWs on the human reward system, to assess the claim that these events are a reinforcing and contributing factor in the development of harmful play. Positive findings would provide further persuasive evidence in support of strategies to minimise gambling harm through the regulation of machine design.


Subject(s)
Cognitive Neuroscience/methods , Gambling/psychology , Harm Reduction , Public Health/methods , Reinforcement, Psychology , Acoustic Stimulation/adverse effects , Cognitive Neuroscience/trends , Gambling/epidemiology , Gambling/therapy , Humans , Photic Stimulation/adverse effects , Public Health/trends
14.
Clin Neuropsychol ; 33(2): 357-368, 2019 02.
Article in English | MEDLINE | ID: mdl-30394172

ABSTRACT

OBJECTIVE: In cognitive neuroscience, well-controlled and highly specific paradigms have been developed to measure cognitive processes over the last decades, often using computer-assisted presentation and response registration. This approach is in contrast with the traditional paper-and-pencil tests used in clinical neuropsychology, which typically assess cognitive function in a less specific manner, often even at the level of a cognitive domain. As a result, important aspects of cognitive (dys)function may be missed during a neuropsychological assessment. This paper focuses on the main challenges that need to be overcome in order to successfully integrate experimental paradigms from cognitive neuroscience into the clinical practice of neuropsychologists. METHOD: Six challenges are discussed: (i) experimental paradigms are often lengthy and may be overly specific; (ii) technical limitations even today hamper their application in clinics; (iii) the psychometric properties of methods used in cognitive neuroscience are under-examined or poor; (iv) many paradigms from cognitive neuroscience rely on reaction times rather than accuracy, limiting their use in the many brain-injured patients with processing speed deficits; (v) the predictive and ecological validity of these paradigms often unclear; (vi) technological progress (e.g. Moore's law) seriously affects the continuous availability of experimental computerized assessment methods. CONCLUSION: Both cognitive neuroscientists and clinical neuropsychologists should work together to develop and validate novel paradigms for use in clinical assessments that are platform-independent, reliable and valid, user friendly and easy to use in clinical practice.


Subject(s)
Cognition Disorders/diagnosis , Cognition Disorders/psychology , Cognitive Neuroscience/trends , Neuropsychological Tests , Neuropsychology/trends , Cognition/physiology , Cognitive Neuroscience/standards , Humans , Longitudinal Studies , Neuropsychological Tests/standards , Neuropsychology/methods , Predictive Value of Tests
15.
J Eval Clin Pract ; 24(4): 859-863, 2018 08.
Article in English | MEDLINE | ID: mdl-29691958

ABSTRACT

For a relatively long period of time, mental functioning was mainly associated with personal profile while brain functioning went by the wayside. After the 90s of the 20th century, or the so called "Decade of the Brain", today, contemporary specialists work on the boundary between fundamental science and medicine. This brings neuroscience, neuropsychology, psychiatry, and psychotherapy closer to each other. Today, we definitely know that brain structures are being built and altered thanks to experience. Psychotherapy can be more effective when based on a neuropsychological approach-this implies identification of the neural foundations of various disorders and will lead to specific psychotherapeutic conclusions. The knowledge about the brain is continually enriched, which leads to periodic rethinking and updating of the therapeutic approaches to various diseases of the nervous system and brain dysfunctions. The aim of translational studies is to match and combine scientific areas, resources, experience and techniques to improve prevention, diagnosis and therapies, and "transformation" of scientific discoveries into potential treatments of various diseases done in laboratory conditions. Neuropsychological studies prove that cognition is a key element that links together brain functioning and behaviour. According to Dr. Kandel, all experimental events, including psychotherapeutic interventions, affect the structure and function of neuronal synapses. The story of why psychotherapy works is a story of understanding the brain mechanisms of psychic processes, a story of how the brain has been evolving to ensure learning, forgetting, and the mechanisms of permanent psychological change. The new evidence on brain functioning necessitates the integration of neuropsychological achievements in the psychotherapeutic process. An integrative approach is needed to take into account the dynamic interaction between brain functioning, psyche, soul, spirit, and social interaction, ie, development of a model of psychotherapeutic work based on cerebral plasticity! Brain-based psychotherapy aims at changing brain functioning not directly, but through experiences. This is neuro-psychologically informed psychotherapy.


Subject(s)
Brain/physiopathology , Cognitive Neuroscience , Mental Processes/physiology , Psychotherapeutic Processes , Psychotherapy/methods , Cognitive Neuroscience/methods , Cognitive Neuroscience/trends , Evaluation Studies as Topic , Humans , Neuropsychiatry/methods , Neuropsychiatry/trends , Neuropsychology/methods , Neuropsychology/trends
16.
Rev. esp. geriatr. gerontol. (Ed. impr.) ; 53(2): 100-104, mar.-abr. 2018.
Article in Spanish | IBECS | ID: ibc-171383

ABSTRACT

La neurociencia cognitiva del envejecimiento es una disciplina joven que emerge como resultado de la combinación de: a) los marcos teóricos y explicativos propuestos por la psicología cognitiva a lo largo de la segunda mitad del siglo XX; b) los diseños y procedimientos metodológicos procedentes de la psicología experimental y necesarios para poner a prueba las hipótesis de la psicología cognitiva; c) las contribuciones de las ciencias de la computación a la explicación de las funciones cerebrales; y d) el desarrollo y utilización de las técnicas de neuroimagen que posibilitaban el registro de la actividad cerebral en humanos mientras se los somete a tareas que ponen a prueba algún proceso o función cognitiva. En el presente artículo se analiza el impacto de la investigación realizada desde esta perspectiva a lo largo de las 3últimas décadas, sus limitaciones, así como las potenciales direcciones y utilidades que de manera ventajosa seguirán impulsando a esta disciplina en su descripción y explicación del proceso de envejecimiento cerebral y cognitivo (AU)


The cognitive neuroscience of aging is a young discipline that has emerged as a result of the combination of: A) the theoretical and explanatory frameworks proposed by the cognitive psychology perspective throughout the second half of the twentieth century; B) the designs and methodological procedures arising from experimental psychology and the need to test the hypotheses proposed from the cognitive psychology perspective; C) the contributions of the computer sciences to the explanation of brain functions; and D) the development and use of neuroimaging techniques that have enabled the recording of brain activity in humans while tasks that test some cognitive process or function are performed. An analysis on the impact of research conducted from this perspective over the last 3decades has been carried out, including its shortcomings, as well as the potential directions and usefulness that will advantageously continue to drive this discipline in its description and explanation of the process es of cerebral and cognitive aging (AU)


Subject(s)
Humans , Aged , Cognitive Neuroscience/trends , Cognitive Aging/physiology , Cognition Disorders/physiopathology , Cognitive Dysfunction/physiopathology , Functional Neuroimaging , Memory Disorders/physiopathology
17.
Psicol. USP ; 29(1): 40-49, jan.-abr. 2018.
Article in Portuguese | LILACS, Index Psychology - journals | ID: biblio-895686

ABSTRACT

Resumo Nas últimas décadas o estudo de processos cognitivos vem sendo influenciado por duas tendências: a legitimação de diversas formas e níveis de estudo e a tentativa de integração multidisciplinar. A primeira teve grande importância na segunda metade do século XX, quando linhas de pesquisa na psicologia cognitiva e nas neurociências fortaleceram-se. Nesse sentido, destacam-se os três níveis de Marr (computacional, algorítmico e implementacional) como forma de estruturar o estudo dos processos cognitivos. A segunda tendência é mais recente e busca, apoiada na primeira, aprofundar o entendimento dos processos cognitivos em suas diversas escalas e integrar diversos paradigmas de estudos, buscando consiliência teórica. O intento deste artigo é apresentar a neurociência computacional e suas possíveis contribuições para a psicologia cognitiva, articulando, por meio dos três níveis de Marr, uma base teórica que explicite o papel de cada uma das disciplinas e as suas possíveis interações.


Résumé Au long des dernières décennies, l'étude des processus cognitifs se voit influencé par deux tendances : la légitimation de plusieurs formes et niveaux d'études et l'essai d'intégration multidisciplinaire. La première a eu une grande importance pendant la deuxième moitié du XXe siècle, quand des lignes de recherche en psychologie cognitive et en neurosciences ont gagné force. Dans ce sens, on peut souligner les trois niveaux de Marr (computationnel, algorithmique et implémentationnel) comme moyens de structurer l'étude des procédés cognitifs. La deuxième tendance est plus récente et cherche, avec l'aide de la première, à approfondir la connaissance des procédés cognitifs et ses différentes échelles et à intégrer plusieurs modèles d'études, en cherchant des convergences théoriques. Le but de cet article est donc de présenter la neuroscience computationnelle et ses possibles contributions pour la psychologie cognitive en articulant, par les trois niveaux de Marr, une base théorique qui puisse expliciter le rôle de chacune des disciplines et de ses possibles interactions.


Resumen En las últimas décadas, el estudio de procesos cognitivos se ha visto influenciado por dos tendencias: la legitimación de diversas formas y niveles de estudio, y el intento de integración multidisciplinar. La primera tuvo gran importancia en la segunda mitad del siglo XX, cuando varias líneas de investigación en la psicología cognitiva y en las neurociencias se fortalecieron. En ese sentido, destacan los tres niveles de Marr (computacional, algorítmico e implementacional) como una manera de estructurar el estudio de los procesos cognitivos. La segunda tendencia es más reciente y busca, apoyada en la primera, profundizar la comprensión de los procesos cognitivos en sus diversas escalas e integrar diversos paradigmas de estudios, buscando consiliencia teórica. En este artículo, se intenta presentar la neurociencia computacional y sus posibles contribuciones para la psicología cognitiva, articulando, a través de los tres niveles de Marr, una base teórica que ponga de manifiesto el papel de cada una de las disciplinas y sus posibles interacciones.


Abstract In recent decades the study of cognitive processes has been influenced by two tendencies: legitimation of several forms and levels of study and the attempt of multidisciplinary integration. The first had great importance in the second half of the 20th century, when research lines in cognitive psychology and neuroscience were strengthened. In this sense, Marr's three levels of analysis (computational, algorithmic, and implementation) are one way to structure the study of cognitive processes. The second tendency is more recent and, supported by the first one, seeks to deepen the understanding of cognitive processes in their different scales and to integrate several paradigms of studies in order to reach theoretical consilience. This article aims to introduce computational neuroscience and its possible contributions to cognitive psychology, articulating, through Marr's three levels, a theoretical basis that explains the role of each of the disciplines and their possible interactions.


Subject(s)
Humans , Vision, Ocular , Cognition , Computing Methodologies , Cognitive Neuroscience/trends
18.
Apuntes psicol ; 36(1/2): 21-25, 2018.
Article in Spanish | IBECS | ID: ibc-178021

ABSTRACT

La discusión sobre las contribuciones de la neurociencia y en particular de la neurociencia cognitiva para la comprensión del comportamiento animal y humano, sigue siendo un tema en la agenda de la Psicología en general y del análisis experimental de la conducta en particular. El notable incremento en la producción investigadora de la neurociencia en los años recientes ha desplazado el interés por la investigación conductual. Sin embargo, distintos aspectos filosóficos, conceptuales y metodológicos están implicados en esta discusión que marcan las distancias entre ambos dominios, pero paradójicamente a la vez, podrían ser considerados para intentar establecer posibles vías de interacción entre la neurociencia y el análisis de la conducta, si realmente estamos interesados en ganar una comprensión más completa del comportamiento


The discussion on the contributions of neuroscience, and cognitive neuroscience specifically, to the understanding of animal and human behavior remains an issue on the agenda of Psychology in general, and also a particular issue for the experimental behavior analysis. The notable increase in the neuroscience research in recent years has displaced the interest outside behavioral research. However, different philosophical, conceptual and methodological aspects are involved in this discussion, so it marks the distance between both domains. At same time, paradoxically, if we are really interested in acquiring a more complete understanding of behavior, those aspects could be considered to establish possible interactions between neuroscience and behavior analysis


Subject(s)
Humans , Animals , Cerebrum , Behavior , Cognitive Neuroscience/trends , Behavior, Animal , Adaptation, Psychological
19.
Neurosci Biobehav Rev ; 83: 440-450, 2017 Dec.
Article in English | MEDLINE | ID: mdl-28928071

ABSTRACT

We conducted a meta-analysis of neurobehavioral and neurocognitive indices of impulsivity in relation to suicidal thoughts and behaviors, as well as non-suicidal self-injury (NSSI). In our systematic review, 34 studies were identified and submitted to a random-effects meta-analysis. A small pooled effect size was observed for the association between behavioral impulsivity and NSSI (OR=1.34, p<0.05). A small-to-medium pooled effect size (OR=2.23, p<0.001) was found for the association between behavioral impulsivity and suicide attempts, and a medium-to-large pooled effect size was observed for this outcome in relation to cognitive impulsivity (OR=3.14, p<0.01). Length of time between suicide attempt and impulsivity assessment moderated the strength of the relation between impulsivity and attempts, with a large pooled effect size (OR=5.54, p<0.001) evident when the suicide attempt occurred within a month of behavioral impulsivity assessment. Studies of clinically significant NSSI temporally proximal to impulsivity assessment are needed. Longitudinal research is required to clarify the prognostic value of behavioral and cognitive impulsivity for short-term risk for self-harm.


Subject(s)
Cognitive Neuroscience/methods , Cognitive Neuroscience/trends , Impulsive Behavior/physiology , Suicide/psychology , Humans , Self-Injurious Behavior
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