Download full-text PDF |
Source |
---|
Learn Mem
December 2024
Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, Austin, Texas 78712, USA
Emotional intensity can produce both optimal and suboptimal effects on learning and memory. While emotional events tend to be better remembered, memory performance can follow an inverted U-shaped curve with increasing intensity. The strength of Pavlovian conditioning tends to increase linearly with the intensity of the aversive outcome, but leads to greater stimulus generalization.
View Article and Find Full Text PDFProc IEEE Comput Soc Conf Comput Vis Pattern Recognit
June 2024
J Acoust Soc Am
November 2024
Department of Linguistics, Ohio State University, Columbus, Ohio 43210, USA.
Listener-oriented accounts of phonetic enhancement propose that talkers produce enhanced vowels to increase clarity when their interlocutor might experience communicative difficulty, e.g., for non-native interlocutors or for an unpredictable word given the semantic context.
View Article and Find Full Text PDFDrugs
November 2024
Department of Psychiatry and Behavioral Sciences, Center for Psychedelic Research and Therapy, The University of Texas at Austin Dell Medical School, 1601 Trinity Street, Bldg. B, Stop Z0600, Austin, TX, 78712, USA.
Posttraumatic stress disorder (PTSD) is a psychiatric disorder with defining abnormalities in memory, and psychedelics may be promising candidates for the treatment of PTSD given their effects on multiple memory systems. Most PTSD and psychedelic research has investigated memory with fear conditioning and extinction. While fruitful, conditioning and extinction provide a limited model of the complexity of PTSD and phenomenology of psychedelics, thereby limiting the refinement of therapies.
View Article and Find Full Text PDFBrain Sci
September 2024
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.
Background/objectives: Neural decoding methods are often limited by the performance of brain encoders, which map complex brain signals into a latent representation space of perception information. These brain encoders are constrained by the limited amount of paired brain and stimuli data available for training, making it challenging to learn rich neural representations.
Methods: To address this limitation, we present a novel multimodal training approach using paired image and functional magnetic resonance imaging (fMRI) data to establish a brain masked autoencoder that learns the interactions between images and brain activities.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!