Short-term synaptic plasticity in emerging devices for neuromorphic computing

C Li, X Zhang, P Chen, K Zhou, J Yu, G Wu, D Xiang… - Iscience, 2023 - cell.com
Neuromorphic computing is a promising computing paradigm toward building next-
generation artificial intelligence machines, in which diverse types of synaptic plasticity play …

Bio-plausible memristive neural components towards hardware implementation of brain-like intelligence

SH Sung, Y Jeong, JW Oh, HJ Shin, JH Lee, KJ Lee - Materials Today, 2023 - Elsevier
A memristor can comprehensively emulate the neural components rather than imitating a
single characteristic superficially due to its analog and hysteretic resistive switching. Bio …

Quantifying circular–linear associations: Hippocampal phase precession

R Kempter, C Leibold, G Buzsáki, K Diba… - Journal of neuroscience …, 2012 - Elsevier
When a rat crosses the place field of a hippocampal pyramidal cell, this cell typically fires a
series of spikes. Spike phases, measured with respect to theta oscillations of the local field …

The quantitative single-neuron modeling competition

R Jolivet, F Schürmann, TK Berger, R Naud… - Biological …, 2008 - Springer
As large-scale, detailed network modeling projects are flourishing in the field of
computational neuroscience, it is more and more important to design single neuron models …

Single-trial phase precession in the hippocampus

R Schmidt, K Diba, C Leibold, D Schmitz… - Journal of …, 2009 - Soc Neuroscience
During the crossing of the place field of a pyramidal cell in the rat hippocampus, the firing
phase of the cell decreases with respect to the local theta rhythm. This phase precession is …

Subthreshold membrane-potential resonances shape spike-train patterns in the entorhinal cortex

TA Engel, L Schimansky-Geier… - Journal of …, 2008 - journals.physiology.org
Many neurons exhibit subthreshold membrane-potential resonances, such that the largest
voltage responses occur at preferred stimulation frequencies. Because subthreshold …

Synaptic learning rules for sequence learning

ET Reifenstein, I Bin Khalid, R Kempter - Elife, 2021 - elifesciences.org
Remembering the temporal order of a sequence of events is a task easily performed by
humans in everyday life, but the underlying neuronal mechanisms are unclear. This problem …

Short‐term plasticity based network model of place cells dynamics

S Romani, M Tsodyks - Hippocampus, 2015 - Wiley Online Library
Rodent hippocampus exhibits strikingly different regimes of population activity in different
behavioral states. During locomotion, hippocampal activity oscillates at theta frequency (5 …

Spike-based Bayesian-Hebbian learning of temporal sequences

PJ Tully, H Lindén, MH Hennig… - PLoS computational …, 2016 - journals.plos.org
Many cognitive and motor functions are enabled by the temporal representation and
processing of stimuli, but it remains an open issue how neocortical microcircuits can reliably …

Interhemispheric connectivity potentiates the basolateral amygdalae and regulates social interaction and memory

TN Huang, TT Hsu, MH Lin, HC Chuang, HT Hu… - Cell reports, 2019 - cell.com
Impaired interhemispheric connectivity is commonly found in various psychiatric disorders,
although how interhemispheric connectivity regulates brain function remains elusive. Here …