Abstract: Long-term memory often plays a pivotal role in human cognition through the analysis of contextual information. Machine learning researchers have attempted to emulate this process through the ...
The study provides valuable insights into the role of thalamic nuclei in associative threat and extinction learning, supported by a large dataset and multipronged analyses. However, aspects of the ...
Not revised: This Reviewed Preprint includes the authors’ original preprint (without revision), an eLife assessment, public reviews, and a provisional response from the authors. (1) There are not ...
Abstract: This paper introduces the use of a new model of associative pulsing neurons (APN) for multi-class and multi-label classification tasks which are usually performed by separate artificial ...
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