Results 31 to 40 of about 248,206 (256)

Asymptotic behavior of the generalized St. Petersburg sum conditioned on its maximum [PDF]

, 2016
In this paper, we revisit the classical results on the generalized St. Petersburg sums. We determine the limit distribution of the St. Petersburg sum conditioning on its maximum, and we analyze how the limit depends on the value of the maximum.
Fukker, Gábor, Györfi, László, Kevei, Péter   +2 more
core   +2 more sources

Trace eyeblink conditioning is impaired in α7 but not in β2 nicotinic acetylcholine receptor knock-out mice

Frontiers in Behavioral Neuroscience, 2010
Nicotinic acetylcholine receptors (nAChRs) are essentially involved in learning and memory. A neurobiologically and behaviorally well-characterized measure of learning and memory, eyeblink classical conditioning, is sensitive to disruptions in ...
Kevin L Brown, David M Comalli, Mariella De Biasi, Diana S Woodruff-Pak   +3 more
doaj   +1 more source

Calibrating Generative Models: The Probabilistic Chomsky-Schützenberger Hierarchy [PDF]

, 2020
A probabilistic Chomsky–Schützenberger hierarchy of grammars is introduced and studied, with the aim of understanding the expressive power of generative models.
Icard, Thomas
core  

Development of a Classical Conditioning Task for Humans Examining Phasic Heart Rate Responses to Signaled Appetitive Stimuli: A Pilot Study

Frontiers in Behavioral Neuroscience, 2021
Cardiac responses to appetitive stimuli have been studied as indices of motivational states and attentional processes, the former being associated with cardiac acceleration and latter deceleration.
Alessandra Sayão, Heloisa Alves, Emi Furukawa, Thomas Schultz Wenk, Mauricio Cagy, Samantha Gutierrez-Arango, Gail Tripp, Egas Caparelli-Dáquer   +7 more
doaj   +1 more source

The Search for Invertebrate Consciousness [PDF]

, 2020
There is no agreement on whether any invertebrates are conscious and no agreement on a methodology that could settle the issue. How can the debate move forward?
Birch, Jonathan
core   +3 more sources

Sea slugs, subliminal pictures and vegetative state patients: Boundaries of consciousness in classical conditioning.

Frontiers in Psychology, 2011
Classical (trace) conditioning is a specific variant of associative learning in which a neutral stimulus leads to the subsequent prediction of an emotionally charged or noxious stimulus after a temporal gap.
Tristan A Bekinschtein, Tristan A Bekinschtein, Moos ePeeters, Diego eShalom, Mariano eSigman   +4 more
doaj   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

CONDITIONING METHODS FOR ANIMALS IN AGRICULTURE: A REVIEW

Ciência Animal Brasileira, 2016
This article briefly describes different conditioning techniques used to help understand learning in farm livestock and economically important animals.
Charles Ira Abramsom, Emily Kieson
doaj   +3 more sources

Teori pendidikan behavioristik pembentukan karakter masyarakat muslim dalam tradisi Ngejot di Bali

Ta'dibuna, 2019
Tulisan ini membahas tentang relevansi teori pendidikan behavioristik dalam tradisi ngejot di Kabupaten Jembrana Provinsi Bali. Tulisan berfokus untuk menjelaskan adakah relevansi teori pendidikan behavioristik terhadap pembentukan karakter melalui ...
Saihu Saihu, Agus Mailana
doaj   +1 more source

An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks [PDF]

, 2014
We present an artificial synaptic plasticity (ASP) mechanism that allows artificial systems to make associations between environmental stimuli and learn new skills at runtime. ASP builds on the classical neural network for simulating associative learning,
Johnson, Colin Graeme, Rizzi Raymundo, Caroline   +1 more
core   +1 more source