Professor Howard Eichenbaum describes the importance of single-cell recordings to memory research.
Single-cell recordings provide one of the major avenues or approaches by which we learn how the brain represents information. So itâ€™s generally thought that information is represented in the brain by groups of neurons called â€˜ensembles,â€™ which encode in specific bits of information about any given stimulus or experience we have. Its those groups of bits of information which compose our representation of experience in our minds. We have the technology, the capacity, to record from single cells, often even many cells at the same time which gives us the ability to get a glimpse of the structure of representations in the head.
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Professor Howard Eichenbaum explains that different brain structures within the medial temporal lobe support different memory processes, namely familiarity and recollection.
Professor Howard Eichenbaum explains that encoding and retrieving memories are distinct neurobiological processes.
Professor Howard Eichenbaum outlines some of the major brain structures involved in declarative memory.
Professor Howard Eichenbaum explains that the hippocampus helps us represent items in the order in which they are experienced.
Learning and memory are two intimately linked cognitive processes that stem from interactions with the environment (experience).
Professor Howard Eichenbaum discusses research indicating that the basic operations of the hippocampus are the same in humans and animals.
Professor Howard Eichenbaum outlines the importance of the hippocampus to learning sequences of events.
Professor Howard Eichenbaum outlines the importance of HM to memory research. Following his death in December 2008, HM's real name was revealed as Henry Gustav Molaison.
Professor Howard Eichenbaum outlines the differences between declarative, procedural, and emotional memory.
Networks are the engines that drive our brain, they exist at every level of organization. Genes, proteins, and neurons all form highly integrated complex networks.