نتایج جستجو برای: dose reference level drl

تعداد نتایج: 1588802  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده علوم انسانی 1392

this research has been taken among the students of high school in karaj city during the years 1391 and 1392. this is a survey research and data gathering is through questionnaires. studying the “an analysis of students’ tendency toward non-native reference groups in karaj”. the questionnaire was distributed among 260 of these students who were chosen through multi step cluster sampling. conside...

2012
Gerard J. Marek

Stress and psychiatric illness have been associated with a dysregulation of glutamatergic neurotransmission. Recently, positive allosteric modulators (PAMs) of the metabotropic glutamate 2 (mGlu2) receptor have been found to exert antidepressant-like activity in rats performing under a differential reinforcement of low rate (DRL) 72-s schedule. An autoreceptor role at glutamatergic synapses is ...

Journal: :The Journal of neuroscience : the official journal of the Society for Neuroscience 2000
B Young N McNaughton

Lesion studies show that the hippocampus is critically involved in timing behavior, but so far there has been little analysis of how it might encode time. We recorded the activity of 266 CA1 neurons, 51 CA3 neurons, and 219 entorhinal neurons from rats performing on a differential reinforcement of low rates (DRL) 15 sec schedule in which reinforcement was contingent on responses that occurred a...

2014
Palashpriya Das Xin-Ping Yang Luyan Z. Ma

Rhamnolipid biosurfactants produced mainly by Pseudomonas sp. had been reported to possess a wide range of potential industrial application. These biosurfactants are produced as monorhamnolipid (MRL) and di-rhamnolipid (DRL) congeners. The present study deals with rhamnolipid biosurfactants produced by three bacterial isolates from crude oil. Biosurfactants produced by one of the strains (named...

2017
Nir Levine Tom Zahavy Daniel J. Mankowitz Aviv Tamar Shie Mannor

Deep reinforcement learning (DRL) methods such as the Deep Q-Network (DQN) have achieved state-of-the-art results in a variety of challenging, high-dimensional domains. This success is mainly attributed to the power of deep neural networks to learn rich domain representations for approximating the value function or policy. Batch reinforcement learning methods with linear representations, on the...

Journal: :European journal of pharmacology 2013
Pradeep Jayarajan Ramakrishna Nirogi Anil Shinde

Scopolamine, a non-selective muscarinic receptor antagonist has widespread central nervous system effects. Muscarinic receptors located in the central nervous system play a vital role in the modulation of impulsivity. The objective of the current study was to evaluate the effect of scopolamine on impulsivity using differential-reinforcement-of-low-rate 72-s schedule (DRL-72s) and to demonstrate...

Journal: :Behavioral neuroscience 2009
Mary Muhia Joram Feldon Irene Knuesel Benjamin K Yee

The synaptic Ras/Rap-GTPase-activating protein (SynGAP) regulates specific intracellular events following N-methyl-d-aspartate receptor (NMDAR) activation. Here, the impact of SynGAP heterozygous knockout (SG+/-) on NMDAR-dependent functions was assessed using different positive reinforcement schedules in instrumental conditioning. The knockout did not affect the temporal control of operant res...

2018
Abhinav Verma Vijayaraghavan Murali Rishabh Singh Pushmeet Kohli Swarat Chaudhuri

We study the problem of generating interpretable and verifiable policies through reinforcement learning. Unlike the popular Deep Reinforcement Learning (DRL) paradigm, in which the policy is represented by a neural network, the aim in Programmatically Interpretable Reinforcement Learning (PIRL) is to find a policy that can be represented in a high-level programming language. Such programmatic p...

Journal: :CoRR 2017
Emilio Parisotto Ruslan Salakhutdinov

A critical component to enabling intelligent reasoning in partially observable environments is memory. Despite this importance, Deep Reinforcement Learning (DRL) agents have so far used relatively simple memory architectures, with the main methods to overcome partial observability being either a temporal convolution over the past k frames or an LSTM layer. More recent work (Oh et al., 2016) has...

Journal: :Behavioural brain research 2005
Valéria Catelli Infantozzi Costa José Lino Oliveira Bueno Gilberto Fernando Xavier

The effects of multiple-site, intradentate, colchicine injections on the performance of a temporal, 'differential reinforcement of low rates of responding' (DRL-20s) task and a spatial, 'delayed non-matching-to-place' (DNMTP) task in a plus-maze were investigated in rats trained in both tasks prior to the lesion. Quantitative analysis revealed a greater than 86% reduction in the dentate gyrus (...

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