Integration of Descending Command Systems for the Generation of Context-Specific Locomotor Behaviors DOI Creative Commons
Linda Kim, Sandeep Sharma, Simon A. Sharples

и другие.

Frontiers in Neuroscience, Год журнала: 2017, Номер 11

Опубликована: Окт. 18, 2017

Over the past decade there has been a renaissance in our understanding of spinal cord circuits; new technologies are beginning to provide key insights into descending circuits which project onto central pattern generators. By integrating work from both locomotor and animal behavioral fields, we can now examine context-specific control locomotion, with an emphasis on modulation arising various regions brainstem. Here approach avoidance behaviors that lead production arrest locomotion.

Язык: Английский

Adaptive learning under expected and unexpected uncertainty DOI
Alireza Soltani, Alicia Izquierdo

Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(10), С. 635 - 644

Опубликована: Май 30, 2019

Язык: Английский

Процитировано

265

Reinforcement learning in artificial and biological systems DOI
Emre Neftci, Bruno B. Averbeck

Nature Machine Intelligence, Год журнала: 2019, Номер 1(3), С. 133 - 143

Опубликована: Март 4, 2019

Язык: Английский

Процитировано

254

Cross Talk: The Microbiota and Neurodevelopmental Disorders DOI Creative Commons
John R. Kelly,

Chiara Minuto,

John F. Cryan

и другие.

Frontiers in Neuroscience, Год журнала: 2017, Номер 11

Опубликована: Сен. 15, 2017

Humans evolved within a microbial ecosystem resulting in an interlinked physiology. The gut microbiota can signal to the brain via immune system, vagus nerve or other host-microbe interactions facilitated by hormones, regulation of tryptophan metabolism and metabolites such as short chain fatty acids (SCFA), influence development, function behaviour. Emerging evidence suggests that may play role shaping cognitive networks encompassing emotional social domains neurodevelopmental disorders. Drawing upon preclinical clinical evidence, we review potential origins development related Autism spectrum disorders (ASD) Schizophrenia. Small preliminary studies have demonstrated alterations both ASD Schizophrenia compared healthy controls. However, await further mechanistic insights, together with large scale longitudinal trials, encompass systems level dimensional approach, investigate whether promising pre-clinical initial findings lead relevance.

Язык: Английский

Процитировано

248

Reinforcement learning in robotic applications: a comprehensive survey DOI
Bharat Singh, Rajesh Kumar, V. P. Singh

и другие.

Artificial Intelligence Review, Год журнала: 2021, Номер 55(2), С. 945 - 990

Опубликована: Апрель 20, 2021

Язык: Английский

Процитировано

173

Multidimensional processing in the amygdala DOI
Katalin M. Gothard

Nature reviews. Neuroscience, Год журнала: 2020, Номер 21(10), С. 565 - 575

Опубликована: Авг. 24, 2020

Язык: Английский

Процитировано

148

A model for learning based on the joint estimation of stochasticity and volatility DOI Creative Commons
Payam Piray, Nathaniel D. Daw

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Ноя. 15, 2021

Abstract Previous research has stressed the importance of uncertainty for controlling speed learning, and how such control depends on learner inferring noise properties environment, especially volatility: change. However, learning rates are jointly determined by comparison between volatility a second factor, moment-to-moment stochasticity. Yet much previous focused simplified cases corresponding to estimation either factor alone. Here, we introduce model, in which both factors learned simultaneously from experience, use model simulate human animal data across many seemingly disparate neuroscientific behavioral phenomena. By considering full problem joint estimation, highlight set previously unappreciated issues, arising mutual interdependence inference about This complicates enriches interpretation results, as pathological individuals with anxiety following amygdala damage.

Язык: Английский

Процитировано

111

Beneficial effects of physical exercise on cognitive-behavioral impairments and brain-derived neurotrophic factor alteration in the limbic system induced by neurodegeneration DOI Creative Commons

Farhad Sanaeifar,

Sina Pourranjbar,

Mohammad Pourranjbar

и другие.

Experimental Gerontology, Год журнала: 2024, Номер 195, С. 112539 - 112539

Опубликована: Авг. 8, 2024

Neurodegenerative diseases (NDDs) are a class of neurological disorders marked by the progressive loss neurons that afflict millions people worldwide. These illnesses affect brain connection, impairing memory, cognition, behavior, sensory perception, and motor function. Alzheimer's, Parkinson's, Huntington's examples common NDDs, which frequently include buildup misfolded proteins. Cognitive-behavioral impairments early markers neurodevelopmental disorders, emphasizing importance detection intervention. Neurotrophins such as brain-derived neurotrophic factor (BDNF) critical for neuron survival synaptic plasticity, is required learning memory. NDDs have been associated with decreased BDNF levels. Physical exercise, non-pharmacological intervention, benefits health increasing levels, lowering cognitive deficits, slowing degradation. Exercise advantages increased well-being, reduced depression, improved skills, neuroprotection amyloid accumulation, oxidative stress, neuroinflammation. This study examines effects physical exercise on cognitive-behavioral deficits levels in limbic system impacted neurodegeneration. The findings highlight necessity including into NDD treatment to improve structure, function, total As research advances, becoming increasingly acknowledged an important technique treating decline neurodegenerative disorders.

Язык: Английский

Процитировано

22

Subcortical Substrates of Explore-Exploit Decisions in Primates DOI Creative Commons
Vincent D. Costa,

Andrew R. Mitz,

Bruno B. Averbeck

и другие.

Neuron, Год журнала: 2019, Номер 103(3), С. 533 - 545.e5

Опубликована: Июнь 10, 2019

Язык: Английский

Процитировано

124

Prefrontal Cortex Predicts State Switches during Reversal Learning DOI Creative Commons
Ramón Bartolo, Bruno B. Averbeck

Neuron, Год журнала: 2020, Номер 106(6), С. 1044 - 1054.e4

Опубликована: Апрель 20, 2020

Язык: Английский

Процитировано

109

Animal affect and decision-making DOI Creative Commons
Michael Mendl, Elizabeth S. Paul

Neuroscience & Biobehavioral Reviews, Год журнала: 2020, Номер 112, С. 144 - 163

Опубликована: Янв. 25, 2020

The scientific study of animal affect (emotion) is an area growing interest. Whilst research on mechanism and causation has predominated, the function less advanced. This not due to a lack hypotheses; in both humans animals, affective states are frequently proposed play pivotal role coordinating adaptive responses decisions. However, exactly how they might do this (what processes implement function) often left rather vague. Here we propose framework for integrating decision-making that couched modern decision theory employs operational definition aligns with dimensional concepts core renders empirically tractable. We develop model affect, including short-term (emotion-like) longer-term (mood-like) states, influence via label options, predictions, outcomes which correspond similar schema links between human emotion decision-making. Our generalisable across species generates questions future research.

Язык: Английский

Процитировано

108