Results 251 to 260 of about 57,909 (296)

Mesencephalic projections to the nucleus accumbens shell modulate value updating during probabilistic reversal learning

open access: yes
Zühlsdorff K   +11 more
europepmc   +1 more source

Discrimination and Reversal Learning in the Rock Squirrel [PDF]

open access: yesPerceptual and Motor Skills, 1965
Four rock squirrels received 80 discrimination learning-set (DLS) problems followed by 80 reversal learning-set (RLS) problems in a modified WGTA. Each DLS problem was learned to a criterion of 9 out of 10 correct while each RLS problem consisted of either 4, 8, 12, or 16 pre-reversal trials and 12 post-reversal trials.
James E. King
openaire   +3 more sources

Frontal Beta Transcranial Alternating Current Stimulation Improves Reversal Learning [PDF]

open access: yesCerebral Cortex, 2020
Contains fulltext : 218491.pdf (Publisher’s version ) (Open Access)Electroencephalogram (EEG) studies suggest an association between beta (13-30 Hz) power and reversal learning performance.
Miles Wischnewski   +2 more
exaly   +4 more sources

Impaired context reversal learning, but not cue reversal learning, in patients with amnestic mild cognitive impairment [PDF]

open access: yesNeuropsychologia, 2011
It has been proposed that reversal learning is impaired following damage to the orbitofrontal and ventromedial frontal cortex (OFC/VMFC) and to the medial temporal lobe (MTL), including the hippocampal formation. However, the exact characteristics of the
Einat Levy-Gigi   +2 more
exaly   +3 more sources

Reversal learning in senescent rats

Behavioural Brain Research, 1985
The ability of old (24 months) and young (3 months) male rats to reverse a previously acquired discrimination was compared in 5 experiments. The old rats did not need more trials to learn a position habit in a T-maze to obtain water reward, but required more trials to reverse the position habit.
D N, Stephens   +3 more
openaire   +2 more sources

Discrimination reversal learning in the crayfish

Animal Behaviour, 1967
Summary Nine crayfish failed to show progressive improvement in learning over nine reversals in a two-choice spatial discrimination problem involving a non-correction procedure of training. The results are discussed in their relationship to the habit reversal data on other species.
P J, Capretta, R, Rea
openaire   +2 more sources

Reversal of learned helplessness by nortriptyline

Progress in Neuro-Psychopharmacology, 1981
Abstract 1. 1. Animals exposed to inescapable stress display avoidance and escape deficits when tested in a later task situation where successful responding results in stress offset, a phenomenon termed learned helplessness. This paradigm has been suggested as an animal model of depression as it shares many of the characteristics of the human ...
J I, Telner, R L, Singhal, Y D, Lapierre
openaire   +2 more sources

Adaptive reverse graph learning for robust subspace learning

Information Processing & Management, 2021
Abstract Subspace learning decreases the dimensions for high-dimensional data by projecting the original data into a low-dimensional subspace, as well as preserving the similarity among data points. Besides, this way has been becoming one of the popular techniques of dimensionality reduction.
Chang-An Yuan 0001   +4 more
openaire   +1 more source

Reversal Learning Based on Somatic Markers

2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013
One of the main aspects in the field of Artificial Intelligence is the creation of agents with the ability to learn like human beings do. Based on made experiences humans are able to adapt their behaviour in order to solve tasks. Another important aspect of human decision making is the ability to discard learned behaviour when the usual decisions ...
Jens Hoefinghoff, Josef Pauli
openaire   +1 more source

RRL: Recommendation Reverse Learning

Proceedings of the AAAI Conference on Artificial Intelligence
As societies become increasingly aware of data privacy, regulations require that private information about users must be removed from both database and ML models, which is more colloquially called `the right to be forgotten`. Such privacy problems of recommendation systems, which hold large amounts of private data, are drawing increasing attention ...
Xiaoyu You   +4 more
openaire   +1 more source

Home - About - Disclaimer - Privacy