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The hippocampus is known to play a role in the encoding of memory that associates between a face and a name. The experiment began by dividing encoding blocks, in which the participants viewed and attempted to memorize the faces paired with the names, from retrieval blocks, in which the participants were shown only the faces and asked to match ...
The hippocampus is also involved in memory consolidation, the slow process by which memories are converted from short to long term memory. This is supported by studies in which lesions are applied to rat hippocampi at different times after learning. [ 2 ]
Memory has the ability to encode, store and recall information. Memories give an organism the capability to learn and adapt from previous experiences as well as build relationships. Encoding allows a perceived item of use or interest to be converted into a construct that can be stored within the brain and recalled later from long-term memory. [1]
Memory is retained in the hippocampus for up to one week after initial learning, representing the hippocampus-dependent stage. [20] During this stage the hippocampus is 'teaching' the cortex more and more about the information and when the information is recalled it strengthens the cortico-cortical connection thus making the memory hippocampus ...
The hippocampus plays important roles in the consolidation of information from short-term memory to long-term memory, and in spatial memory that enables navigation. In humans, and other primates the hippocampus is located in the archicortex , one of the three regions of allocortex , in each hemisphere with neural projections to the neocortex .
The “spacing effect” refers to a phenomenon whereby learning, or the creation of a memory, occurs more effectively when information, or exposure to a stimulus, is spaced out.
The hippocampus is important for explicit memory. The hippocampus is also important for memory consolidation. The hippocampus receives input from different parts of the cortex and sends its output out to different parts of the brain also. The input comes from secondary and tertiary sensory areas that have processed the information a lot already.
Anderson [16] shows that combination of Hebbian learning rule and McCulloch–Pitts dynamical rule allow network to generate a weight matrix that can store associations between different memory patterns – such matrix is the form of memory storage for the neural network model. Major differences between the matrix of multiple traces hypothesis ...