Discriminative Avoidance Training of Rats

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Pre-training anandamide infusion within the basolateral amygdala impairs plus-maze discriminative avoidance task in rats

Endocannabinoids (eCBs) modulate a variety of brain functions via activation of the widely expressed CB1 receptor. One site of high density of this receptor is the basolateral amygdala (BLA), a structure involved in the formation of aversive memories. The activation and blockade of CB1 receptors by systemic or hippocampal drug administrations have been shown to modify memory processing. However...

متن کامل

Piecewise HMM discriminative training

This paper address the problem of training HMMs using long files of uninterrupted speech with limited and constant memory requirements. The classical training algorithms usually require limited duration training utterances due to memory constraints for storing the generated trellis. Our solution allows to exploits databases that are transcribed, but not partitioned into sentences, using a slidi...

متن کامل

Amygdalar lesions block discriminative avoidance learning and cingulothalamic training-induced neuronal plasticity in rabbits.

Learning to fear dangerous situations requires the participation of neurons of the amygdala. Here it is shown that amygdalar neurons are also involved in learning to avoid dangerous situations. Amygdalar lesions severely impaired the acquisition of acoustically cued, discriminative instrumental avoidance behavior of rabbits. In addition, the development of anterior cingulate cortical and medial...

متن کامل

Comparison of discriminative training criteria

In this paper, a formally unifying approach for a class of discriminative training criteria including Maximum Mutual Information (MMI) and Minimum Classification Error (MCE) criterion is presented, including the optimization methods gradient descent (GD) and extended Baum-Welch (EB) algorithm. Comparisons are discussed for the MMI and the MCE criterion, including the determination of the sets o...

متن کامل

Discriminative Training of Language Model

We show how discriminative training methods, namely the Maximum Mutual Information and Maximum Discrimination approach, can be adopted for the training of N-gram language models used as clas-siiers working on symbol strings. By estimating the model parameters according to a discriminative objective function instead of Maximum Likelihood, the emphasis is not put on the exact modeling of each cla...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Science

سال: 1964

ISSN: 0036-8075,1095-9203

DOI: 10.1126/science.146.3651.1599