Browsing by Subject "synaptic transmission"
Now showing items 1-8 of 8
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A Biophysical Model of Endocannabinoid-Mediated Short Term Depression in Hippocampal Inhibition
(2013)Memories are believed to be represented in the synaptic pathways of vastly interconnected networks of neurons. The plasticity of synapses, that is, their strengthening and weakening depending on neuronal activity, is ...
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A biophysical model of endocannabinoidmediated short term depression of excitation in hippocampus
(2013)
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Editorial
(2015)
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Article
On learning time delays between the spikes from different input neurons in a biophysical model of a pyramidal neuron
(2015)Biological systems are able to recognise temporal sequences of stimuli or compute in the temporal domain. In this paper we are exploring whether a biophysical model of a pyramidal neuron can detect and learn systematic ...
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On the firing variability of the integrate-and-fire neurons with partial reset in the presence of inhibition
(2002)It has been reported (Phys. Rev. Lett. 82 (1999) 4731) that the firing variability of integrate-and-fire (I&F) neurons is strongly dependent on the level of inhibitory input unlike the Hodgkin-Huxley and FitzHugh-Nagumo ...
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Self-control with spiking and non-spiking neural networks playing games
(2010)Self-control can be defined as choosing a large delayed reward over a small immediate reward, while precommitment is the making of a choice with the specific aim of denying oneself future choices. Humans recognise that ...
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Spiking neural networks with different reinforcement learning (RL) schemes in a multiagent setting
(2010)This paper investigates the effectiveness of spiking agents when trained with reinforcement learning (RL) in a challenging multiagent task. In particular, it explores learning through rewardmodulated spike-timing dependent ...