SpikingLab: modelling agents controlled by Spiking Neural Networks in Netlogo [PDF]
, 2016 The scientific interest attracted by Spiking Neural Networks (SNN) has lead to the development of tools for the simulation and study of neuronal dynamics ranging from phenomenological models to the more sophisticated and biologically accurate Hodgkin-and-
A Cyr +19 more
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Postsynaptic mechanisms for the induction of long-term potentiation and long-term depression of synaptic transmission in CA1 pyramidal neurons of the hippocampus [PDF]
arXiv, 2005 The studies described in this dissertation have attempted to address the cellular mechanisms of information storage by the brain. My work has focused primarily on the postsynaptic events that occur during and after induction of long-term potentiation (LTP) and long-term depression (LTD) at the Schaffer collateral-CA1 synapse of the hippocampus.
arxiv
PLoS Biology, 2019 Neurons receive a large number of active synaptic inputs from their many presynaptic partners across their dendritic tree. However, little is known about how the strengths of individual synapses are controlled in balance with other synapses to ...
Mathieu Letellier +3 more
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Dynamic layer-span connecting spiking neural networks with backpropagation training
Complex & Intelligent Systems, 2023 Spiking Neural Network (SNN) is one of the mainstream frameworks for brain-like computing and neuromorphic computing, which has the potential to overcome current AI challenges, for example, low-power learning dynamic processes.
Zijjian Wang +4 more
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Optimal Spike-Timing Dependent Plasticity for Precise Action Potential Firing [PDF]
arXiv, 2005 In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimizes via gradient ascent the likelihood of postsynaptic firing at one or several desired firing times.
arxiv
Mimicking synaptic plasticity with wedged Pt/Co/Pt spin-orbit torque device [PDF]
J. Phys. D: Appl. Phys. 55, 095001 (2022)We fabricated a wedge-shaped Pt/Co/Pt device with perpendicular magnetic anisotropy and manifested that the Co magnetization can be solely switched by spin-orbit torque without any magnetic field. Similar to the synaptic weight, we observed that the state of Co magnetization (presented by the anomalous Hall resistance RH) of the wedged Pt/Co/Pt device ...
arxiv +1 more source
Synaptic Plasticity with Discrete state synapses [PDF]
, 2005 Experimental observations on synaptic plasticity at individual glutamatergic synapses from the CA3 Shaffer collateral pathway onto CA1 pyramidal cells in the hippocampus suggest that the transitions in synaptic strength occur among discrete levels at individual synapses (~\cite{Peter} and S. S.-H.
arxiv +1 more source
PyTorch-Hebbian: facilitating local learning in a deep learning framework [PDF]
arXiv, 2021 Recently, unsupervised local learning, based on Hebb's idea that change in synaptic efficacy depends on the activity of the pre- and postsynaptic neuron only, has shown potential as an alternative training mechanism to backpropagation. Unfortunately, Hebbian learning remains experimental and rarely makes it way into standard deep learning frameworks ...
arxiv
Spindle oscillations are generated in the dorsal thalamus and modulated by the thalamic reticular nucleus [PDF]
, 2008 Spindle waves occur during the early stage of slow wave sleep and are thought to arise in the thalamic reticular nucleus (TRN), causing inhibitory postsynaptic potential spindle-like oscillations in the dorsal thalamus that are propagated to the cortex ...
Chun-Hua Liu +7 more
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EPSPs in rat neocortical neurons in vitro. I. Electrophysiological evidence for two distinct EPSPs [PDF]
, 1989 1. To investigate excitatory postsynaptic potentials (EPSPs), intracellular recordings were performed in layer II/III neurons of the rat medial frontal cortex.
Hablitz, John H., Sutor, Bernd
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