The nematode Caenorhabditis elegans displays a surprisingly sophisticated behavioral repertoire that includes the utilization of both associative and non-associative forms of learning. Elucidating the molecular basis of learning remains a fundamental, yet daunting, challenge of modern neuroscience. In Pereira and van der Kooy (ref. 2), we described the use of a two input-two output stimuli syst...

This paper proposes a limited kernel associative memory, where the number of kernels is limited to a certain number. This model aims to be used on embedded systems with a small amount of storage space. The learning algorithm for the kernel associative memory is an improved version of the limited general regression neural network, which was proposed by one of the authors. In the experiments, we ...

The second half of the past century saw the emergence of a theory of cortical associative memory function originating in Donald Hebb's hypotheses on activity-dependent synaptic plasticity and cell-assembly formation and dynamics. This conceptual framework has today developed into a theory of attractor memory that brings together many experimental observations from different sources and levels o...

Learning to remember long sequences remains a challenging task for recurrent neural networks. Register memory and attention mechanisms were both proposed to resolve the issue with either high computational cost to retain memory differentiability, or by discounting the RNN representation learning towards encoding shorter local contexts than encouraging long sequence encoding. Associative memory,...

Hippocampal subfields CA(3) and CA(1) are hypothesized to differentially support the generation of associative predictions and the detection of associative mismatches, respectively. Using high-resolution functional MRI, we examined hippocampal subfield activation during associative retrieval and during subsequent comparisons of memory to matching or mismatching decision probes. Activity in the ...

Associative memory, as a form of computing-with-memory, reduces energy of the processing elements by eliminating redundant computations [2], [8], [11]–[15], [17]–[20]. An associative memory can quickly recall responses of a function for a subset of input patterns to save energy by avoiding the actual function execution on the processing element. An associative memory is typically composed of a ...

Associative memory, as a form of computing-with-memory, reduces energy of the processing elements by eliminating redundant computations [2], [8], [11]–[15], [17]–[20]. An associative memory can quickly recall responses of a function for a subset of input patterns to save energy by avoiding the actual function execution on the processing element. An associative memory is typically composed of a ...

From the perspective of memory-as-discrimination, whether a cue leads to correct retrieval simultaneously depends on the cue's relationship to (a) the memory target and (b) the other retrieval candidates. A corollary of the view is that increasing encoding-retrieval match may only help memory if it improves the cue's capacity to discriminate the target from competitors. Here, age differences in...

Memory is created by several interlinked processes in the brain, some of which require long-term gene regulation. Epigenetic mechanisms are likely candidates for regulating memory-related genes. Among these, DNA methylation is known to be a long lasting genomic mark and may be involved in the establishment of long-term memory. Here we demonstrate that DNA methyltransferases, which induce and ma...