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<p>Title: An Indexing Theory for Working Memory Based on Fast Hebbian Plasticity<br>
Authors: Florian Fiebig, Pawel Herman, and Anders Lansner<br>
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<p><a href="https://doi.org/10.1523/ENEURO.0374-19.2020">https://doi.org/10.1523/ENEURO.0374-19.2020</a></p>
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<div>Abstract</div>
<div>Working memory (WM) is a key component of human memory and cognition. Computational models have been used to study the underlying neural mechanisms, but neglected the important role of short-term memory (STM) and long-term memory (LTM) interactions for
WM. Here, we investigate these using a novel multiarea spiking neural network model of prefrontal cortex (PFC) and two parietotemporal cortical areas based on macaque data. We propose a WM indexing theory that explains how PFC could associate, maintain, and
update multimodal LTM representations. Our simulations demonstrate how simultaneous, brief multimodal memory cues could build a temporary joint memory representation as an “index” in PFC by means of fast Hebbian synaptic plasticity. This index can then reactivate
spontaneously and thereby also the associated LTM representations. Cueing one LTM item rapidly pattern completes the associated uncued item via PFC. The PFC–STM network updates flexibly as new stimuli arrive, thereby gradually overwriting older representations.<br>
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<div>Best regards/Anders La<br>
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<div style="text-align:left"><font face="Cambria, serif" size="2">***********************************************************</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">Anders Lansner</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">Professor in Computer Science at Stockholm University Mathematics and</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">KTH Royal Institute of Technology, Department of Computational Science</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">and Technology (EECS/CST)</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">Computational Brain Science Lab</font></div>
<div style="text-align:left"><font face="Cambria, serif" size="2">ala@kth.se</font></div>
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